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ORCID29th EUSIPCO 2021: Dublin, Ireland
- 29th European Signal Processing Conference, EUSIPCO 2021, Dublin, Ireland, August 23-27, 2021. IEEE 2021, ISBN 978-9-0827-9706-0
- Carmen D'Andrea
, Giovanni Interdonato, Stefano Buzzi:
User-centric Handover in mmWave Cell-Free Massive MIMO with User Mobility. 1-5 - Tony Colin, Thomas Delamotte, Andreas Knopp:
Distortions Characterization for Dynamic Carrier Allocation in Ultra High-Throughput Satellites. 1-5 - Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret:
Robust Hypersphere Fitting from Noisy Data Using an EM Algorithm. 1-5 - Joerg Schmalenstroeer, Jens Heitkaemper, Joerg Ullmann, Reinhold Haeb-Umbach:
Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech. 1-5 - Daniel Haider, Péter Balázs, Nicki Holighaus:
Phase-Based Signal Representations for Scattering. 6-10 - Midia Yousefi, Dimitra Emmanouilidou:
Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network. 11-15 - Zied Mnasri, Stefano Rovetta, Francesco Masulli:
A Novel Pitch Detection Algorithm Based On Instantaneous Frequency. 16-20 - Nirmesh J. Shah, M. Ali Basha Shaik, P. Periyasamy, Hemant A. Patil, Vikram Vij:
Exploiting Phase-based Features for Whisper vs. Speech Classification. 21-25 - Beáta Lorincz, Adriana Stan, Mircea Giurgiu:
Speaker verification-derived loss and data augmentation for DNN-based multispeaker speech synthesis. 26-30 - Ajinkya Kulkarni, Vincent Colotte, Denis Jouvet:
Improving transfer of expressivity for end-to-end multispeaker text-to-speech synthesis. 31-35 - Clément Le Moine, Nicolas Obin, Axel Roebel:
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels. 36-40 - Kihyuk Jeong, Huu-Kim Nguyen, Hong-Goo Kang:
A Fast and Lightweight Text-To-Speech Model with Spectrum and Waveform Alignment Algorithms. 41-45 - Dan Oneata, Adriana Stan, Horia Cucu:
Speaker disentanglement in video-to-speech conversion. 46-50 - Taiyo Mineo, Hayaru Shouno:
Improving Convergence Rate of Sign Algorithm using Natural Gradient Method. 51-55 - Lam Pham, Chris Baume, Qiuqiang Kong, Tassadaq Hussain, Wenwu Wang, Mark D. Plumbley:
An Audio-Based Deep Learning Framework For BBC Television Programme Classification. 56-60 - Bi-Cheng Yan, Berlin Chen:
End-to-End Mispronunciation Detection and Diagnosis From Raw Waveforms. 61-65 - Hanxin Zhu, Chuang Shi, Yue Wang:
F0-estimation-based primary ambient extraction for stereo signals. 66-70 - Yuya Hosoda, Arata Kawamura, Youji Iiguni:
Phase Reconstruction for Artificial Bandwidth Extension toward Musical Instrument Sound Signal. 71-75 - Irene Martín-Morató, Annamaria Mesaros:
What is the ground truth? Reliability of multi-annotator data for audio tagging. 76-80 - Maximilian Kentgens, Shahd Al Hares, Peter Jax:
On the Upscaling of Higher-Order Ambisonics Signals for Sound Field Translation. 81-85 - Tobias Kabzinski, Jérôme Biot, Peter Jax:
A Model-Based 2-D Head-Tracking Method Using Microphones at the Ears. 86-90 - Kenta Imaizumi, Kenta Niwa, Kimitaka Tsutsumi:
Loudspeaker Array to Maximize Acoustic Contrast Using Proximal Splitting Method. 91-95 - Adrian Herzog, Emanuël A. P. Habets:
Signal-Dependent Mixing for Direction-Preserving Multichannel Noise Reduction. 96-100 - Robbe Van Rompaey, Marc Moonen:
Sound Zoning in an Ad-hoc Wireless Acoustic Sensor and Actuator Network. 101-105 - Christoph Hold, Archontis Politis, Leo McCormack, Ville Pulkki:
Spatial Filter Bank Design in the Spherical Harmonic Domain. 106-110 - Martin Jälmby, Filip Elvander, Toon van Waterschoot:
Low-Rank Tensor Modeling of Room Impulse Responses. 111-115 - Fabrice Katzberg, Marco Maaß, Alfred Mertins:
Coherence Based Trajectory Optimization for Compressive Sensing of Sound Fields. 116-120 - Marco Olivieri, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti:
Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network. 121-125 - Kuldeep Khoria, Ankur T. Patil, Hemant A. Patil:
Significance of Constant-Q Transform for Voice Liveness Detection. 126-130 - Premjeet Singh, Goutam Saha, Md. Sahidullah:
Deep scattering network for speech emotion recognition. 131-135 - Shujie Zhao, Yan Yang, Israel Cohen, Lijun Zhang:
Speech Emotion Recognition Using Auditory Spectrogram and Cepstral Features. 136-140 - Mohammad MohammadAmini, Driss Matrouf, Jean-François Bonastre, Romain Serizel, Sandipana Dowerah, Denis Jouvet:
Compensate multiple distortions for speaker recognition systems. 141-145 - Shrishti Singh, Kuldeep Khoria, Hemant A. Patil:
Modified Group Delay Cepstral Coefficients for Voice Liveness Detection. 146-150 - Florian Hilgemann, Johannes Fabry, Peter Jax:
Design of IIR Filters for Active Noise Control by Constrained Optimization. 151-155 - Stefano Nobili, Valeria Bruschi, Ferruccio Bettarelli, Stefania Cecchi:
An Efficient Active Noise Control System with Online Secondary Path Estimation for Snoring Reduction. 156-160 - Marcel Nophut, Robert Hupke, Stephan Preihs, Jürgen Peissig:
Towards Wave-Domain Adaptive Filtering for Multichannel Acoustic Echo Cancellation in Higher-Order Ambisonics Systems. 161-165 - Paul M. Baggenstoss, Karl-Heinz Frommolt, Olaf Jahn, Frank Kurth:
Separation of Bird Calls and DOA estimation using a 4-Microphone Array. 166-170 - Clément Gaultier, Alexandre Guérin, Grégory Pallone, Marc Emerit:
Double-Talk Robust Acoustic Echo Cancellation Using Partition Block Frequency-Domain Adaptive Filtering. 171-175 - Abraham Woubie, Lauri Koivisto, Tom Bäckström:
Voice-quality Features for Deep Neural Network Based Speaker Verification Systems. 176-180 - Suradej Duangpummet, Jessada Karnjana, Waree Kongprawechnon, Masashi Unoki:
Blind Estimation of Room Acoustic Parameters and Speech Transmission Index using MTF-based CNNs. 181-185 - Emir Demirel, Sven Ahlbäck, Simon Dixon:
Computational Pronunciation Analysis in Sung Utterances. 186-190 - Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik, Mathew Magimai-Doss:
Phoneme Based Respiratory Analysis of Read Speech. 191-195 - Ali Dehghan Firoozabadi, Pablo Irarrazaval, Pablo Adasme, David Zabala-Blanco, Pablo Palacios Játiva, Hugo Durney, Miguel Sanhueza-Olave, Cesar A. Azurdia-Meza:
Three-dimensional sound source localization by distributed microphone arrays. 196-200 - Arjun Venkat Venkatakrishnan, Pasi Pertilä, Mikko Parviainen:
Tampere University Rotated Circular Array Dataset. 201-205 - Leo McCormack, Archontis Politis, Simo Särkkä, Ville Pulkki:
Real-Time Tracking of Multiple Acoustical Sources Utilising Rao-Blackwellised Particle Filtering. 206-210 - Nils Poschadel, Robert Hupke, Stephan Preihs, Jürgen Peissig:
Direction of Arrival Estimation of Noisy Speech using Convolutional Recurrent Neural Networks with Higher-Order Ambisonics Signals. 211-215 - Ofer Schwartz:
Speaker Localization using Frobenius Norm with a Focus on Close Speaker and Noise Source. 216-220 - Elisa Tengan, Maja Taseska, Thomas Dietzen, Toon van Waterschoot:
Direction-of-arrival and power spectral density estimation using a single directional microphone. 221-225 - Graziano A. Manduzio, Nicola Forti, Roberto Sabatini, Paolo Braca, Giorgio Battistelli, Luigi Chisci:
Dynamic Source Localization via Finite-Element Underwater Acoustic Field Estimation. 226-230 - Pierre-Amaury Grumiaux, Srdan Kitic, Laurent Girin, Alexandre Guérin:
Improved feature extraction for CRNN-based multiple sound source localization. 231-235 - Daniel Krause, Archontis Politis, Konrad Kowalczyk:
Data Diversity for Improving DNN-based Localization of Concurrent Sound Events. 236-240 - Daniel Fejgin, Simon Doclo:
Comparison of Binaural RTF-Vector-Based Direction of Arrival Estimation Methods Exploiting an External Microphone. 241-245 - Gal Itzhak, Israel Cohen, Jacob Benesty:
Robust Differential Beamforming with Rectangular Arrays. 246-250 - Gal Itzhak, Jacob Benesty, Israel Cohen:
Quadratic Beamforming for Magnitude Estimation. 251-255 - Vasudha Sathyapriyan, Metin Çalis, Richard C. Hendriks:
Binaural beam-forming with dominant spatial cue preservation for hearing aids. 256-260 - Anna Barnov, Alex Gendelman, Amos Schreibman, Eli Tzirkel-Hancock, Sharon Gannot:
A Robust RLS Implementation of the ANC Block in GSC Structures. 261-265 - Tomohiro Nakatani, Rintaro Ikeshita, Naoyuki Kamo, Keisuke Kinoshita, Shoko Araki, Hiroshi Sawada:
Switching Convolutional Beamformer. 266-270 - Ali Dehghan Firoozabadi, Pablo Irarrazaval, Pablo Adasme, David Zabala-Blanco, Pablo Palacios Játiva, Hugo Durney, Miguel Sanhueza, Cesar A. Azurdia-Meza:
Speakers counting by proposed nested microphone array in combination with limited space SRP. 271-275 - Jacob Donley, Vladimir Tourbabin, Boaz Rafaely, Ravish Mehra:
Adaptive Multi-Channel Signal Enhancement Based on Multi-Source Contribution Estimation. 276-280 - Taiga Kawamura, Kohei Yatabe, Ryoichi Miyazaki:
Sparse Distortionless Beamformer Based on Nonconvex Optimization. 281-285 - Clément Dorffer, Thomas Paviet-Salomon, Gilles Le Chenadec, Angélique Drémeau:
Modal estimation in underwater acoustics by data-driven structured sparse decompositions. 286-290 - Yoshiaki Bando, Kouhei Sekiguchi, Kazuyoshi Yoshii:
Gamma Process FastMNMF for Separating an Unknown Number of Sound Sources. 291-295 - Lei Wang, Jie Zhu, Ina Kodrasi:
Multi-task Single Channel Speech Enhancement Using Speech Presence Probability As A Secondary Task Training Target. 296-300 - Shanshan Wang, Gaurav Naithani, Archontis Politis, Tuomas Virtanen:
Deep Neural Network Based Low-Latency Speech Separation with Asymmetric Analysis-Synthesis Window Pair. 301-305 - María Auxiliadora Sarmiento-Vega, Iván Durán-Díaz, Irene Fondón, Sergio Cruces:
Generalization of an Active Set Newton Algorithm with Alpha-Beta divergences for audio separation. 306-310 - Julian Neri, Roland Badeau, Philippe Depalle:
Unsupervised Blind Source Separation with Variational Auto-Encoders. 311-315 - Yoshiki Masuyama, Tomoro Tanaka, Kohei Yatabe, Tsubasa Kusano, Yasuhiro Oikawa:
Simultaneous Declipping and Beamforming via Alternating Direction Method of Multipliers. 316-320 - Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Yuma Koizumi, Hiroshi Saruwatari:
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. 321-325 - Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani:
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. 326-330 - Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo:
Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation. 331-335 - Santiago Ruiz, Thomas Dietzen, Toon van Waterschoot, Marc Moonen:
A comparison between overlap-save and weighted overlap-add filter banks for multi-channel Wiener filter based noise reduction. 336-340 - Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation. 341-345 - Alexander Bohlender, Ann Spriet, Wouter Tirry, Nilesh Madhu:
Neural Networks Using Full-Band and Subband Spatial Features for Mask Based Source Separation. 346-350 - Benjamin Stahl, Alois Sontacchi:
Speech Enhancement Quality Assessment Based on Aspect-Specific Qualities: A Preliminary Analysis. 351-355 - Florian Henkel, Gerhard Widmer:
Multi-modal Conditional Bounding Box Regression for Music Score Following. 356-360 - Jakob Abeßer, Jaydeep Chauhan, Prateek Pradeep Pillai, Michael Taenzer, Stylianos I. Mimilakis:
Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures. 361-365 - Charles Brazier, Gerhard Widmer:
Handling Structural Mismatches in Real-time Opera Tracking. 366-370 - Johannes Gauer, Diana Kleingarn, Rainer Martin:
Analysis and Improvements of the Cepstrum Method for Fundamental Frequency Estimation in Music Signals. 371-375 - Andrew Wise, Anthony S. Maida, Ashok Kumar:
Attention Augmented CNNs for Musical Instrument Identification. 376-380 - Yudong Zhao, Changhong Wang, György Fazekas, Emmanouil Benetos, Mark B. Sandler:
Violinist identification based on vibrato features. 381-385 - Luís Carvalho, Gerhard Widmer:
Exploiting Temporal Dependencies for Cross-modal Music Piece Identification. 386-390 - Ching-Yu Chiu, Joann Ching, Wen-Yi Hsiao, Yu-Hua Chen, Alvin Wen-Yu Su, Yi-Hsuan Yang:
Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking. 391-395 - Chih-Wei Wu, Phillip A. Williams, William Wolcott:
A Multitask Teacher-Student Framework for Perceptual Audio Quality Assessment. 396-400 - Amit Sofer, Tomás Kounovský, Jaroslav Cmejla, Zbynek Koldovský, Sharon Gannot:
Robust Relative Transfer Function Identification on Manifolds for Speech Enhancement. 401-405 - Pasi Pertilä, Emre Cakir, Aapo Hakala, Eemi Fagerlund, Tuomas Virtanen, Archontis Politis, Antti J. Eronen:
Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments. 406-410 - Sherif Abdulatif, Karim Armanious, Jayasankar T. Sajeev, Karim Guirguis, Bin Yang:
Investigating Cross-Domain Losses for Speech Enhancement. 411-415 - Zuzana Jelcicová, Rasmus Jones, David Thorn Blix, Marian Verhelst, Jens Sparsø:
PeakRNN and StatsRNN: Dynamic Pruning in Recurrent Neural Networks. 416-420 - Sebastian Braun, Ivan Tashev:
On training targets for noise-robust voice activity detection. 421-425 - Shakeel A. Sheikh, Md. Sahidullah, Fabrice Hirsch, Slim Ouni:
StutterNet: Stuttering Detection Using Time Delay Neural Network. 426-430 - Aneesh Vartakavi, Amanmeet Garg, Zafar Rafii:
Audio Summarization for Podcasts. 431-435 - Takuya Fujimura, Yuma Koizumi, Kohei Yatabe, Ryoichi Miyazaki:
Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech. 436-440 - Lukás Samuel Marták, Rainer Kelz, Gerhard Widmer:
Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries. 441-445 - Pierre Beckmann, Mikolaj Kegler, Milos Cernak:
Word-Level Embeddings for Cross-Task Transfer Learning in Speech Processing. 446-450 - Lars Thieling, Peter Jax:
Generally Applicable Deep Speech Inpainting Using the Example of Bandwidth Extension. 451-455 - Tomoki Hayashi, Takenori Yoshimura, Masaya Inuzuka, Ibuki Kuroyanagi, Osamu Segawa:
Spontaneous Speech Summarization: Transformers All The Way Through. 456-460 - Marcin Witkowski, Magdalena Rybicka, Konrad Kowalczyk:
Sparse Linear Prediction-based Dereverberation for Signal Enhancement in Distant Speaker Verification. 461-465 - Andong Li, Chengshi Zheng, Lu Zhang, Xiaodong Li:
Learning to Inference with Early Exit in the Progressive Speech Enhancement. 466-470 - Mohamed Nabih Ali, Veronica Juliana Schmalz, Alessio Brutti, Daniele Falavigna:
A Speech Enhancement Front-End for Intent Classification in Noisy Environments. 471-475 - Qiongqiong Wang, Kong Aik Lee, Takafumi Koshinaka, Koji Okabe, Hitoshi Yamamoto:
Task-aware Warping Factors in Mask-based Speech Enhancement. 476-480 - Eike Jannik Nustede, Jörn Anemüller:
Towards speech enhancement using a variational U-Net architecture. 481-485 - Ju Lin, Adriaan J. de Lind van Wijngaarden, Melissa C. Smith, Kuang-Ching Wang:
Speaker-Aware Speech Enhancement with Self-Attention. 486-490 - Ryandhimas E. Zezario, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Speech Enhancement with Zero-Shot Model Selection. 491-495 - Yu-Wen Chen, Kuo-Hsuan Hung, Shang-Yi Chuang, Jonathan Sherman, Xugang Lu, Yu Tsao:
A Study of Incorporating Articulatory Movement Information in Speech Enhancement. 496-500 - Mickael Rouvier, Pierre-Michel Bousquet, Jarod Duret:
Study On the Temporal Pooling Used In Deep Neural Networks For Speaker Verification. 501-505 - Alexandros Koumparoulis, Gerasimos Potamianos, Samuel Thomas, Edmilson da Silva Morais:
Resource-efficient TDNN Architectures for Audio-visual Speech Recognition. 506-510 - Dipesh K. Singh, Preet P. Amin, Hardik B. Sailor, Hemant A. Patil:
Data Augmentation Using CycleGAN for End-to-End Children ASR. 511-515 - Tirthankar Banerjee, Narasimha Rao Thurlapati, V. Pavithra, S. Mahalakshmi, Dhanya Eledath, V. Ramasubramanian:
Few-Shot learning for frame-Wise phoneme recognition: Adaptation of matching networks. 516-520 - Zainab Alhakeem, Yoohwan Kwon, Hong-Goo Kang:
Disentangled Representations for Arabic Dialect Identification based on Supervised Clustering with Triplet Loss. 526-530 - Dhanya Eledath, P. Inbarajan, Anurag Biradar, Sathwick Mahadeva, V. Ramasubramanian:
End-to-end speech recognition from raw speech: Multi time-frequency resolution CNN architecture for efficient representation learning. 536-540 - Vincent P. Martin, Jean-Luc Rouas, Florian Boyer, Pierre Philip:
Automatic Speech Recognition systems errors for accident-prone sleepiness detection through voice. 541-545 - Spandan Dey, Goutam Saha, Md. Sahidullah:
Cross-Corpora Language Recognition: A Preliminary Investigation with Indian Languages. 546-550 - Jakob Abeßer, Saichand Gourishetti, András Kátai, Tobias Clauß, Prachi Sharma, Judith Liebetrau:
IDMT-Traffic: An Open Benchmark Dataset for Acoustic Traffic Monitoring Research. 551-555 - David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos I. Mimilakis, Sascha Grollmisch, Jakob Abeßer, Hanna M. Lukashevich:
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. 556-560 - Slobodan Djukanovic, Yash Patel, Jirí Matas, Tuomas Virtanen:
Neural network-based acoustic vehicle counting. 561-565 - Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini:
Graph-based Representation of Audio signals for Sound Event Classification. 566-570 - Panagiotis Giannoulis, Gerasimos Potamianos, Petros Maragos:
Overlapped Sound Event Classification via Multi-Channel Sound Separation Network. 571-575 - An Tran, Konstantinos Drossos, Tuomas Virtanen:
WaveTransformer: An Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information. 576-580 - Hayato Mori, Satoshi Tamura, Satoru Hayamizu:
Anomalous Sound Detection Based On Attention Mechanism. 581-585 - Miseul Kim, Minh Tri Ho, Hong-Goo Kang:
Self-supervised Complex Network for Machine Sound Anomaly Detection. 586-590 - Santiago Donaher, Alessio Xompero, Andrea Cavallaro:
Audio classification of the content of food containers and drinking glasses. 591-595 - Andrew Bailey, Mark D. Plumbley:
Gender Bias in Depression Detection Using Audio Features. 596-600 - Chao Wang, Takahiro Okabe:
Per-Pixel Water and Oil Detection on Surfaces with Unknown Reflectance. 601-605 - Kazuya Fujita, Ryo Matsuoka, Takahiro Okabe:
Detecting Momentary Shadows from Visible and Thermal Image Pair. 606-610 - Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
Regularization By Adversarial Learning For Ultrasound Elasticity Imaging. 611-615 - Alexandros Gkillas, Dimitrios I. Kosmopoulos, Constantinos Constantinopoulos, Dimitris Ampeliotis, Kostas Berberidis:
A Method for Recovering Near Infrared Information from RGB Measurements with Application in Precision Agriculture. 616-620 - Michael P. Sheehan, Julián Tachella, Mike E. Davies:
Surface Detection for Sketched Single Photon Lidar. 621-625 - Clément Fernandes, Thomas Monti, Emmanuel Monfrini, Wojciech Pieczynski:
Fast Image Segmentation with Contextual Scan and Markov Chains. 626-630 - Moustapha Diaw, Agnès Delahaies, Jérôme Landré, Frédéric Morain-Nicolier, Florent Retraint:
Fast process for classifying structural image pairs using Weibull parameters extracted from undersampled Local Dissimilarity Maps. 631-635 - Jun-Jie Huang, Pier Luigi Dragotti:
LINN: Lifting Inspired Invertible Neural Network for Image Denoising. 636-640 - Rui Fan, Jintao Cheng, Yang Yu, Juncan Deng, George C. Giakos, Ioannis Pitas:
Long-Awaited Next-Generation Road Damage Detection and Localization System is Finally Here. 641-645 - Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, Denis Kouamé:
Poisson Image Deconvolution by a Plug-and-Play Quantum Denoising Scheme. 646-650 - Julian Strohmayer, Jakob Knapp, Martin Kampel:
Efficient Models for Real-Time Person Segmentation on Mobile Phones. 651-655 - Sahar Sadrizadeh, Hatef Otroshi-Shahreza, Farokh Marvasti:
Removing Impulsive Noise from Color Images via a Residual Deep Neural Network Enhanced by Post-Processing. 656-660 - Jin-Yu Huang, Jian-Jiun Ding, Pei-Chi Huang:
Learning Based Superpixel Merging Model for Image Segmentation. 661-665 - Gian Marti, Boxiao Ma, Hans-Andrea Loeliger:
Why Maximum-A-Posteriori Blind Image Deblurring Works After All. 666-670 - Hana Alghamdi, Rozenn Dahyot:
Sliced $\mathcal{L}_{2}$ Distance for Colour Grading. 671-675 - Xiang Wang, Yimin Yang, Qixiang Pang, Qiang Tang, Shan Du:
End-to-End Generative Adversarial Face Hallucination Through Residual In Internal Dense Network. 676-680 - Iram Arshad, Mamoona Naveed Asghar, Yuansong Qiao, Brian Lee, Yuhang Ye:
Pixdoor: A Pixel-space Backdoor Attack on Deep Learning Models. 681-685 - Georgios Voulgaris, Ioannis Mademlis, Ioannis Pitas:
Procedural Terrain Generation Using Generative Adversarial Networks. 686-690 - Lahiru D. Chamain, Siyu Qi, Zhi Ding:
An End-to-End Learning Architecture for Efficient Image Encoding and Deep Learning. 691-695 - Tatiana Gelvez, Jorge Bacca, Henry Arguello:
Interpretable Multiple Loss Functions in A Low-Rank Deep Image Prior Based Method For Single Hyperspectral Image Super-Resolution. 696-700 - Francesco Conti, Gaetano Scarano, Stefania Colonnese:
Multiscale Anisotropic Harmonic Filters on non Euclidean domains. 701-705 - Taiki Miyanishi, Motoaki Kawanabe:
Watch, Listen, and Answer: Open-Ended VideoQA with Modulated Multi-Stream 3D ConvNets. 706-710 - Félix Bigand, Elise Prigent, Bastien Berret, Annelies Braffort:
How Fast Is Sign Language? A Reevaluation of the Kinematic Bandwidth Using Motion Capture. 711-715 - Alice Ruget, Stephen McLaughlin, Robert K. Henderson, István Gyöngy, Abderrahim Halimi, Jonathan Leach:
Robust and Guided Super-resolution for Single-Photon Depth Imaging via a Deep Network. 716-720 - George Eskandar, Alexander Braun, Martin Meinke, Karim Armanious, Bin Yang:
SLPC: A VRNN-based approach for stochastic lidar prediction and completion in autonomous driving. 721-725 - Olivier Lézoray:
Stochastic permutation ordering watershed. 726-730 - Bianca-Cerasela-Zelia Blaga, Sergiu Nedevschi:
Weakly Supervised Semantic Segmentation Learning on UAV Video Sequences. 731-735 - Thomas Romera, Andrea Petreto, Florian Lemaitre, Manuel Bouyer, Quentin L. Meunier, Lionel Lacassagne:
Implementations Impact on Iterative Image Processing for Embedded GPU. 736-740 - Wided Souidène Mseddi, Rafik Ghali, Marwa Jmal, Rabah Attia:
Fire Detection and Segmentation using YOLOv5 and U-NET. 741-745 - Wided Souidène Mseddi, Mohamed Ali Sedrine, Rabah Attia:
YOLOv5 Based Visual Localization For Autonomous Vehicles. 746-750 - Ester Martínez-Martín, Eric Ferrer, Ilia Vasilev, Angel P. del Pobil:
An Autonomous Drone for Image-Based Inspection of Bookshelves. 751-755 - Liuhong Chen, Heming Sun, Jiro Katto, Xiaoyang Zeng, Yibo Fan:
Fast Object Detection in HEVC Intra Compressed Domain. 756-760 - Christos Papaioannidis, Dimitrios Makrygiannis, Ioannis Mademlis, Ioannis Pitas:
Learning Fast and Robust Gesture Recognition. 761-765 - Onur N. Tepencelik, Wenchuan Wei, Leanne Chukoskie, Pamela C. Cosman, Sujit Dey:
Body and Head Orientation Estimation with Privacy Preserving LiDAR Sensors. 766-770 - Lai Zhang, Jun Wang, Jiyuan Hu, Pengjian Yang, Fan Liang, Feng Lai:
Improvement on Intra Block Copy in Video Coding with Reference Block Recompression. 771-775 - Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen:
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. 776-780 - Jordan Gonzalez, Lionel Prevost:
Personalizing emotion recognition using incremental random forests. 781-785 - Melpomeni Dimopoulou, Eva Gil San Antonio, Marc Antonini:
A JPEG-based image coding solution for data storage on DNA. 786-790 - Panagiotis Paraskevas Filntisis, Niki Efthymiou, Gerasimos Potamianos, Petros Maragos:
An Audiovisual Child Emotion Recognition System for Child-Robot Interaction Applications. 791-795 - Félix Balado, Guénolé C. M. Silvestre:
Benford's Law: Hammering A Square Peg Into A Round Hole? 796-800 - Erhan Davarci, Emin Anarim:
Hybrid Architecture for Gender Recognition Using Smartphone Motion Sensors. 801-805 - Pauline Puteaux, Vincent Itier, Patrick Bas:
Combining Forensics and Privacy Requirements for Digital Images. 806-810 - Omran Alamayreh, Mauro Barni:
Detection of GAN-Synthesized street videos. 811-815 - Peter Neuhaus, Diana Marcela V. Melo, Lukas T. N. Landau, Rodrigo C. de Lamare, Gerhard P. Fettweis:
Zero-Crossing Modulations for a Multi-User MIMO Downlink with 1-Bit Temporal Oversampling ADCs. 816-820 - Bashar Tahir, Stefan Schwarz, Markus Rupp:
RIS-Assisted Code-Domain MIMO-NOMA. 821-825 - Rasoul Nikbakht, Angel Lozano:
Terahertz Transmit Beamforming with 1-Bit DACs and ADCs. 826-830 - Eduard A. Jorswieck, Sepehr Rezvani:
On the Optimality of NOMA in Two-User Downlink Multiple Antenna Channels. 831-835 - Leatile Marata, Onel Luis Alcaraz López, Eduardo Noboro Tominaga, Hirley Alves:
Joint Channel Estimation and Device Activity Detection in Heterogeneous Networks. 836-840 - Aya Mostafa Ahmed, Stefano Fortunati, Aydin Sezgin, Maria S. Greco, Fulvio Gini:
Robust Reinforcement Learning-based Wald-type Detector for Massive MIMO Radar. 846-850 - Aylin Tastan, Michael Muma, Abdelhak M. Zoubir:
Robust Spectral Clustering: A Locality Preserving Feature Mapping Based on M-estimation. 851-855 - Florent Bouchard, Arnaud Breloy, Ammar Mian, Guillaume Ginolhac:
On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data. 856-859 - Frédéric Pascal, Esa Ollila, Daniel P. Palomar:
Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. 860-864 - Zbynek Koldovský, Václav Kautský, Tomás Kounovský, Jaroslav Cmejla:
Algorithm for Independent Vector Extraction Based on Semi-Time-Variant Mixing Model. 865-869 - Kalle Åström, Martin Larsson, Gabrielle Flood, Magnus Oskarsson:
Extension of Time-Difference-of-Arrival Self Calibration Solutions Using Robust Multilateration. 870-874 - Keisuke Imoto:
Acoustic Scene Classification Using Multichannel Observation with Partially Missing Channels. 875-879 - Ryan M. Corey, Andrew C. Singer:
High/Low Model for Scalable Multimicrophone Enhancement of Speech Mixtures. 880-884 - Israel Mendoza Velázquez, Yi Ren, Yoichi Haneda, Héctor Manuel Pérez Meana:
A fusion method based on class rotations for DNN-DoA Estimation on Spherical Microphone Array. 885-889 - Ruixing Ge, Jian Cheng, Kang An, Gan Zheng:
Non-orthogonal Multiple Access Enabled Two-layer GEO/LEO Satellite Network. 890-894 - Lin Chen, Eva Lagunas, Symeon Chatzinotas, Björn E. Ottersten:
Satellite Broadband Capacity-on-Demand: Dynamic Beam Illumination with Selective Precoding. 900-904 - Tomás Ramírez, Carlos Mosquera, Nader Alagha:
Flexible Beam-User Mapping for Multibeam Satellites. 905-909 - Miguel Ángel Vázquez, Xavier Artiga, Ana I. Pérez-Neira:
Closed-Form Multicast Precoding for Satellite Flexible Payloads. 910-914 - Mohammad Mahdi Mojahedian, Angel Lozano:
Subset Regularized Zero-Forcing Precoders for Cell-Free C-RANs. 915-919 - James A. C. Sutton, Hien Quoc Ngo, Michail Matthaiou:
Cell-Free Massive MIMO with Multiple-Antenna Users under I/Q Imbalance. 920-924 - Muhammad Farooq, Markku J. Juntti, Le-Nam Tran:
Power Control for Multigroup Multicast Cell-Free Massive MIMO Downlink: Invited Paper. 930-934 - Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson:
Distributed Computation of A Posteriori Bit Likelihood Ratios in Cell-Free Massive MIMO. 935-939 - Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. 940-944 - Yide Yu, Amin Honarmandi Shandiz, László Tóth:
Reconstructing Speech from Real-Time Articulatory MRI Using Neural Vocoders. 945-949 - Guillaume Geoffroy, Lotfi Chaâri, Jean-Yves Tourneret, Herwig Wendt:
Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning. 955-959 - Chaithya G. R., Zaccharie Ramzi, Philippe Ciuciu:
Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction. 960-964 - Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer:
Automatic sleep staging from pulse oximeter using RNN. 965-969 - Zhen Fu, Bo Wang, Xihong Wu, Jing Chen:
Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network. 970-974 - Dimitrios Mallios, Xiaohao Cai:
Deep Rectum Segmentation for Image Guided Radiation Therapy with Synthetic Data. 975-979 - Athanasios Lykartsis, Markus Hädrich, Stefan Weinzierl:
A prototype deep learning system for the acoustic monitoring of intensive care patients. 980-984 - Nimrod Sagie, Hayit Greenspan, Jacob Goldberger:
Transfer Learning via Parameter Regularization for Medical Image Segmentation. 985-989 - Thomas Haubner, Mhd Modar Halimeh, Andreas Brendel, Walter Kellermann:
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation. 990-994 - Siyuan Song, Brecht Desplanques, Celest De Moor, Kris Demuynck, Nilesh Madhu:
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech. 995-999 - Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki, Shoji Makino:
Low Latency Online Source Separation and Noise Reduction Based on Joint Optimization with Dereverberation. 1000-1004 - Zbynek Koldovský, Sharon Gannot:
Dictionary-Based Sparse Reconstruction of Incomplete Relative Transfer Functions. 1005-1009 - Yuma Kinoshita, Nobutaka Ono:
End-to-End Training for Acoustic Scene Analysis with Distributed Sound-to-Light Conversion Devices. 1010-1014 - Nils Poschadel, Stephan Preihs, Jürgen Peissig:
Multi-Source Direction of Arrival Estimation of Noisy Speech using Convolutional Recurrent Neural Networks with Higher-Order Ambisonics Signals. 1015-1019 - Renana Opochinsky, Gal Chechik, Sharon Gannot:
Deep Ranking-Based DOA Tracking Algorithm. 1020-1024 - Chiho Haruta, Nobutaka Ono:
A low-computational DNN-based speech enhancement for hearing aids based on element selection. 1025-1029 - Stanislaw Kacprzak, Konrad Kowalczyk:
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices. 1030-1034 - Robin Scheibler, Tatsuya Komatsu, Masahito Togami:
Multichannel Separation and Classification of Sound Events. 1035-1039 - Marie Roald, Carla Schenker, Jeremy E. Cohen, Evrim Acar:
PARAFAC2 AO-ADMM: Constraints in all modes. 1040-1044 - Cécile Hautecoeur, François Glineur, Lieven De Lathauwer:
Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions. 1045-1049 - Aysegul Bumin, Kejun Huang:
Efficient Implementation of Stochastic Proximal Point Algorithm for Matrix and Tensor Completion. 1050-1054 - Vikas Kumar Mishra, Ivan Markovsky, Antonio Fazzi, Philippe Dreesen:
Data-Driven Simulation for NARX Systems. 1055-1059 - Meng Ding, Xiao Fu, Ting-Zhu Huang, Xi-Le Zhao:
Constrained Block-Term Tensor Decomposition-Based Hyperspectral Unmixing via Alternating Gradient Projection. 1060-1064 - Olivier Vu Thanh, Andersen Man Shun Ang, Nicolas Gillis, Le Thi Khanh Hien:
Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF. 1065-1069 - José Henrique de Morais Goulart, Phillip M. S. Burt:
Volterra kernels of bilinear systems have tensor train structure. 1070-1074 - Mahsa Mozaffari, Panos P. Markopoulos, Ashley Prater-Bennette:
Improved L1-Tucker via L1-Fitting. 1075-1079 - Muzaffer Ayvaz, Lieven De Lathauwer:
Tensor-Based Multivariate Polynomial Optimization with Application in Blind Identification. 1080-1084 - Ya Liu, Mingjie Shao, Wing-Kin Ma:
A Homotopy Optimization Method for Orthogonal Non-Negative Matrix Factorization. 1085-1089 - Tom Bäckström, Mariem Bouafif Mansali, Pablo Pérez Zarazaga, Meghna Ranjit, Sneha Das, Zied Lachiri:
PyAWNeS-Codec: Speech and audio codec for ad-hoc acoustic wireless sensor networks. 1090-1094 - Nicolas Furnon, Romain Serizel, Slim Essid, Irina Illina:
Attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes. 1095-1099 - Dongmei Wang, Takuya Yoshioka, Zhuo Chen, Xiaofei Wang, Tianyan Zhou, Zhong Meng:
Continuous Speech Separation with Ad Hoc Microphone Arrays. 1100-1104 - Emilie D'Olne, Alastair H. Moore, Patrick A. Naylor:
Model-based Beamforming for Wearable Microphone Arrays. 1105-1109 - Aleksej Chinaev, Gerald Enzner, Tobias Gburrek, Joerg Schmalenstroeer:
Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. 1110-1114 - Alexandru Nelus, Rene Glitza, Rainer Martin:
Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic Environments. 1115-1119 - Michael Günther, Andreas Brendel, Walter Kellermann:
Online estimation of time-variant microphone utility in wireless acoustic sensor networks using single-channel signal features. 1120-1124 - Kouei Yamaoka, Nobutaka Ono, Yukoh Wakabayashi:
Sampling Frequency Mismatch Estimation by Auxiliary-Function-Based Iterative Maximization of Double-Cross-Correlation. 1125-1129 - Antonio Jesús Muñoz-Montoro, Pedro Vera-Candeas, Mads Græsbøll Christensen:
A Coherence-based Clustering Method for Multichannel Speech Enhancement in Wireless Acoustic Sensor Networks. 1130-1134 - Janek Ebbers, Moritz Curt Keyser, Reinhold Haeb-Umbach:
Adapting Sound Recognition to A New Environment Via Self-Training. 1135-1139 - Hongde Wu, Changjie Pan, Mingtao Li, Fei Chen:
A Method To Map EEG Signals To Spoken Speech Using Gaussian Process Modeling. 1140-1144 - Rohan Banerjee, Avik Ghose:
Synthesis of Realistic ECG Waveforms Using a Composite Generative Adversarial Network for Classification of Atrial Fibrillation. 1145-1149 - Giuseppe Campobello, Giovanni Gugliandolo, Nicola Donato:
A Simple and Efficient Near-lossless Compression Algorithm for Multichannel EEG Systems. 1150-1154 - Wenya Liu, Xiulin Wang, Fengyu Cong, Timo Hämäläinen:
Alpha Band Dysconnectivity Networks in Major Depression during Resting State. 1155-1158 - Simon Labouesse, Jérôme Idier, Anne Sentenac, Marc Allain, Thomas Mangeat:
Proof of the resolution-doubling of Random Illumination Microscopy using the variance of the speckled images. 1159-1162 - Mingtao Li, Sio-Hang Pun, Fei Chen:
Mandarin Tone Classification in Spoken Speech with EEG Signals. 1163-1166 - Bahman Abdi-Sargezeh, Antonio Valentín, Gonzalo Alarcón, Saeid Sanei:
Detection of Brain Interictal Epileptiform Discharges from Intracranial EEG by Exploiting their Morphology in the Tensor Structure. 1167-1171 - Ozlem Karabiber Cura, Gülce Cosku Yilmaz, Hatice Sabiha Türe, Aydin Akan:
Classification of Psychogenic Non-epileptic Seizures Using Synchrosqueezing Transform of EEG Signals. 1172-1176 - Sumit A. Raurale, Geraldine B. Boylan, Sean R. Mathieson, William P. Marnane, Gordon Lightbody, John M. O'Toole:
Tracé alternant detector for grading hypoxic-ischemic encephalopathy in neonatal EEG. 1177-1181 - Christopher Lundy, John M. O'Toole:
Random Convolution Kernels with Multi-Scale Decomposition for Preterm EEG Inter-burst Detection. 1182-1186 - Masaru Yamashita:
Classification Between Normal and Abnormal Respiration Using Ergodic HMM for Intermittent Abnormal Sounds. 1187-1190 - Roman Romero-Ortuno, Rose-Anne Kenny, Peter Hartley, Aisling M. O'Halloran, Silvin P. Knight:
Alluvial visualization and computation of probabilities of transitions in frailty index states over an 8-year period using multi-state Markov models. 1191-1195 - Luca Garello, Matteo Moro, Chiara Tacchino, Francesca Campone, Paola Durand, Isabella Blanchi, Paolo Moretti, Maura Casadio, Francesca Odone:
A Study of At-term and Preterm Infants' Motion Based on Markerless Video Analysis. 1196-1200 - Oishee Mazumder, Aniruddha Sinha:
In silico Evaluation of Wearable Cardiac Defibrillator: Personalized Therapy Planning to Prevent Sudden Cardiac Death. 1201-1205 - Yongxiang Wang, Charles Markham, Catherine Deegan:
An apparatus to measure stimulus-related and response-related visual evoked potential in a simulated driving scenario. 1206-1210 - Rémi Vuillemot, Slavica Jonic:
Combined Bayesian and Normal Mode Flexible Fitting with Hamiltonian Monte Carlo Sampling for Cryo Electron Microscopy. 1211-1215 - Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Visibility Graph Network of Multidimensional Time Series Data for Protein Structure Classification. 1216-1220 - Surabhi Jaatan, Abdulkadir Çelikkanat, Aurelic Piravre, Frédérique Bidard, Laurent Duval, Fragkiskos D. Malliaros:
Multiomics Data Integration for Gene Regulatory Network Inference with Exponential Family Embeddings. 1221-1225 - Rahul Mishra, Krishan Sharma, Arnav Bhavsar:
Visual Brain Decoding for Short Duration EEG Signals. 1226-1230 - Santanu Roy, Shubhajit Panda, Mahesh Jangid:
Modified Reinhard Algorithm for Color Normalization of Colorectal Cancer Histopathology Images. 1231-1235 - Christos Theodoropoulos, Christos Chatzichristos, Sabine Van Huffel:
Automatic Artifact Removal of Resting-State fMRI with Deep Neural Networks. 1236-1240 - Louise Gillian C. Bautista, Prospero C. Naval:
CLRGaze: Contrastive Learning of Representations for Eye Movement Signals. 1241-1245 - Juul P. A. van Boxtel, Vincent R. J. Vousten, Josien P. W. Pluim, Nastaran Mohammadian Rad:
Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images. 1246-1250 - Ilyes Hamitouche, Slavica Jonic:
Deep learning of elastic 3D shapes for cryo electron microscopy analysis of continuous conformational changes of biomolecules. 1251-1255 - Venkatesh Bharadwaj Srinivasan, Foroohar Foroozan:
Deep Learning based non-invasive diabetes predictor using Photoplethysmography signals. 1256-1260 - Zhen Fu, Bo Wang, Fei Chen, Xihong Wu, Jing Chen:
Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks. 1261-1265 - James Davis, Silvin P. Knight, Rossella Rizzo, Orna A. Donoghue, Rose-Anne Kenny, Roman Romero-Ortuno:
A linear regression-based machine learning pipeline for the discovery of clinically relevant correlates of gait speed reserve from multiple physiological systems. 1266-1270 - Rocío del Amor, Adrián Colomer, Carlos Monteagudo, María José Garzón, José Luis García-Giménez, Valery Naranjo:
A Deep Embedded Framework for Spitzoid Neoplasm Classification Using DNA Methylation Data. 1271-1275 - Subhranil Bagchi, Deepti R. Bathula:
Adequately Wide 1D CNN facilitates improved EEG based Visual Object Recognition. 1276-1280 - Gabriel García, Adrián Colomer, Rafael Verdú Monedero, Jose Dolz, Valery Naranjo:
A Self-Training Framework for Glaucoma Grading In OCT B-Scans. 1281-1285 - Nils Laurent, Sylvain Meignen, Julie Fontecave Jallon, Bertrand Rivet:
A Novel Algorithm for Heart Rate Estimation Based on Synchrosqueezing Transform. 1286-1290 - Jannis Lilienthal, Waltenegus Dargie:
Automatic Motion Artifact Removal in ECG with Canonical Polyadic Decomposition. 1291-1295 - Jannis Lilienthal, Waltenegus Dargie:
Comparison of Reference Sensor Types and Position for Motion Artifact Removal in ECG. 1296-1300 - Saygin Artiran, Leanne Chukoskie, Ara Jung, Ian Miller, Pamela C. Cosman:
HMM-based Detection of Head Nods to Evaluate Conversational Engagement from Head Motion Data. 1301-1305 - Mustafa Alper Balim, Cemal Hanilçi, Nurettin Acir:
Motor Imagery Signal Classification Using Constant-Q Transform for BCI Applications. 1306-1310 - Ridhi Arora, Balasubramanian Raman:
A Deep Neural CNN Model with CRF For Breast Mass Segmentation in Mammograms. 1311-1315 - Kleanthis Avramidis, Athanasia Zlatintsi, Christos Garoufis, Petros Maragos:
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition. 1316-1320 - Liu Yang, Marzieh Ajirak, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric:
Unsupervised Detection of Anomalies in Fetal Heart Rate Tracings using Phase Space Reconstruction. 1321-1325 - Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon:
Few-Shot Decoding of Brain Activation Maps. 1326-1330 - Mark E. O'Sullivan, Tatiana Gabruseva, Geraldine B. Boylan, M. O'Riordan, Gordon Lightbody, William P. Marnane:
Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph. 1331-1335 - Ioannis Sarridis, Constantine Kotropoulos:
Neural Factorization Applied to Interaction Matrix for Recommendation. 1336-1340 - Mihai Dogariu, Liviu-Daniel Stefan, Bogdan Andrei Boteanu, Claudiu Lamba, Bogdan Ionescu:
Towards Realistic Financial Time Series Generation via Generative Adversarial Learning. 1341-1345 - Nikolaos Passalis, Anastasios Tefas:
Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits. 1346-1350 - Arup Kumar Das, Kriti Kumar, Angshul Majumdar, Saurabh Sahu, M. Girish Chandra:
Multi-Sensor Fusion Framework using Discriminative Autoencoders. 1351-1355 - Alexey Ozerov, Ngoc Q. K. Duong:
Inplace knowledge distillation with teacher assistant for improved training of flexible deep neural networks. 1356-1360 - Mert Kayaalp, Stefan Vlaski, Ali H. Sayed:
Distributed Meta-Learning with Networked Agents. 1361-1365 - Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee:
Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. 1366-1370 - Tatsuya Komatsu, Tomoko Matsui, Junbin Gao:
Multi-Source Domain Adaptation with Sinkhorn Barycenter. 1371-1375 - Marcele O. K. Mendonça, Jonathas O. Ferreira, Paulo S. R. Diniz:
Data Selective Deep Neural Networks For Image Classification. 1376-1380 - Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Supervised Learning via Cross-learning. 1381-1385 - Sherif Nagib Abbas Seha, Dimitrios Hatzinakos:
Longitudinal Assessment of EEG Biometrics under Auditory Stimulation: A Deep Learning Approach. 1386-1390 - Nicolò Bonettini, Carlo Andrea Gonano, Paolo Bestagini, Marco Marcon, Bruno Garavelli, Stefano Tubaro:
Multitask learning for denoising and analysis of X-ray polymer acquisitions. 1391-1395 - Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Hema Koppula, Jen-Hao Rick Chang, Ashish Shrivastava, Oncel Tuzel:
Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling. 1396-1400 - Rick Pandey, Jan Kirchhof, Fabian Krieg, Eduardo Pérez, Florian Römer:
Preprocessing of Freehand Ultrasound Synthetic Aperture Measurements using DNN. 1401-1405 - Florian Liebgott, Annika Liebgott, Bin Yang:
Towards Combined Event Detection and Classification for Non-Intrusive Load Monitoring Using Convolutional Neural Networks. 1406-1410 - Martí Llobet Turró, Margarita Cabrera-Bean:
Correlated Binary Data for Machine Learning. 1411-1415 - Yu Zhu, Boning Li, Santiago Segarra:
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. 1416-1420 - Amir Dib, Charles Truong, Laurent Oudre, Mathilde Mougeot, Nicolas Vayatis, Heloïse Nonne:
Bayesian Feature Discovery for Predictive Maintenance. 1421-1425 - Pascal A. Schirmer, Iosif Mporas:
Low-Frequency Energy Disaggregation based on Active and Reactive Power Signatures. 1426-1430 - Vasiliki I. Vasileiou, Nikolaos Kardaris, Petros Maragos:
Exploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos. 1431-1435 - Zixiang Xian, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model. 1436-1440 - Takayuki Nakachi, Yitu Wang:
Secure Computation of Gaussian Process Regression for Data Analysis. 1441-1445 - Diana Resmerita, Rodrigo Cabral Farias, Lionel Fillatre:
Classification Error Approximation of a Compressed Linear Softmax Layer. 1446-1450 - Zhan Gao, Fernando Gama, Alejandro Ribeiro:
Stability of Spherical Convolutional Neural Networks to Rotation Diffeomorphisms. 1451-1455 - M. Ali Vosoughi, Axel Wismüller:
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments. 1456-1460 - Sharu Theresa Jose, Osvaldo Simeone:
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence. 1461-1465 - Pierre De Handschutter, Nicolas Gillis:
Deep orthogonal matrix factorization as a hierarchical clustering technique. 1466-1470 - Sergio Rozada, Victor Tenorio, Antonio G. Marques:
Low-rank State-action Value-function Approximation. 1471-1475 - Amine Echraibi, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton:
Stochastic Backpropagation through Fourier Transforms. 1476-1480 - Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Regression with Deep Neural Networks: Generalization Error Guarantees, Learning Algorithms, and Regularizers. 1481-1485 - Lior Frenkel, Jacob Goldberger:
Network Calibration by Class-based Temperature Scaling. 1486-1490 - Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, Miguel R. D. Rodrigues:
A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs. 1491-1495 - Vincent C. H. Leung, Jun-Jie Huang, Yonina C. Eldar, Pier Luigi Dragotti:
Reconstruction of FRI Signals using Autoencoders with Fixed Decoders. 1496-1500 - Izumi Ito:
Flipping Data Augmentation of Convolutional Neural Networks Using Discrete Cosine Transforms. 1501-1505 - Hui Liu, Yale Hartmann, Tanja Schultz:
Motion Units: Generalized Sequence Modeling of Human Activities for Sensor-Based Activity Recognition. 1506-1510 - Saeed Akhavan, Hamid Soltanian-Zadeh:
Alternating Projection Approach for Nonlinear Blind Separation of Sparse Sources. 1511-1515 - Myrsini Ntemi, Constantine Kotropoulos:
A Multi-step Ahead Dyadic Particle Filter for Price Prediction. 1516-1520 - Nils Mandischer, Ina Koop, Anna Granich, Dirk Heberling, Burkhard Corves:
Radar Tracker For Human Legs Based On Geometric And Intensity Features. 1521-1525 - Anurag Goel, Angshul Majumdar:
Transformed K-means Clustering. 1526-1530 - Mouad Zine El Abidine, Helin Dutagaci, David Rousseau:
Dimensionality Reduction for Ordinal Classification. 1531-1535 - Hao-Hsiang Yang, Kuan-Chih Huang, Wei-Ting Chen, Sy-Yen Kuo:
LRG-Net: Lightweight Residual Grid Network for Modeling Electrical Induction Motor Dynamics. 1536-1540 - Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra:
Hybrid Federated and Centralized Learning. 1541-1545 - Gábor Csordás, Kristof Denolf, Nicholas J. Fraser, Alessandro Pappalardo, Kees A. Vissers:
Trainable Preprocessing for Reduced Precision Neural Networks. 1546-1550 - Jabran Akhtar:
Augmenting Radar Doppler Resolution with Neural Networks. 1551-1555 - Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic:
Clustering of the Blendshape Facial Model. 1556-1560 - Mikhail Kamalov, Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden:
PaZoe: classifying time series with few labels. 1561-1565 - Oded Bialer, Noa Garnett:
Optimization Of Antenna Array Configuration With A Neural Network. 1566-1570 - Jules Rio, Olivier Alata, Fabien Momey, Christophe Ducottet:
Leveraging end-to-end denoisers for denoising periodic signals. 1571-1575 - Matej Králik, Marek Suppa:
Waveglove: Transformer-Based Hand Gesture Recognition Using Multiple Inertial Sensors. 1576-1580 - Faruk Yavuz:
Radar Target Detection with CNN. 1581-1585 - Daniel Bonilla Licea, Giuseppe Silano, Mounir Ghogho, Martin Saska:
Optimum Trajectory Planning for Multi-Rotor UAV Relays with Tilt and Antenna Orientation Variations. 1586-1590 - R. David Badger, Minje Kim:
Singular Value Decomposition for Compression of Large-Scale Radio Frequency Signals. 1591-1595 - Maria Juhlin, Andreas Jakobsson:
Localization Of Multiple Jammers In Wireless Sensor Networks. 1596-1600 - Ziwei Xuan, Krishna Narayanan:
Low-Delay Analog Distributed Joint Source-Channel Coding using SIRENs. 1601-1605 - Wentao Lin, Deepak Mishra:
Enhancement of Visible Light Backscatter Communication by Optimally Locating the Tags. 1606-1610 - Liang Chen, Fanglei Sun, Kai Li, Ruiqing Chen, Yang Yang, Jun Wang:
Deep Reinforcement Learning for Resource Allocation in Massive MIMO. 1611-1615 - Vida Ranjbar, Marc Moonen, Sofie Pollin:
Local Uplink Processing in Cell-Free Networks: A New Approach. 1616-1620 - Lucas N. Ribeiro, Stefan Schwarz, Martin Haardt:
Low-Complexity Zero-Forcing Precoding for XL-MIMO Transmissions. 1621-1625 - Mamoun Guenach, Ali A. Gorji, André Bourdoux:
A Deep Neural Architecture for Real-time Node Scheduling in Uplink Cell-Free Massive MIMO. 1626-1630 - Ruiqing Chen, Fanglei Sun, Liang Chen, Kai Li, Liantao Wu, Jun Wang, Yang Yang:
Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO. 1631-1635 - Dilshad Surroop, Pascal Combes, Philippe Martin:
Error analysis of a demodulation procedure for multicarrier signals with slowly-varying carriers. 1636-1640 - Amit Agarwal, Constantinos Psomas, Ioannis Krikidis:
Amplitude Detection Over Generalized Fading Models: An Asymptotic Approach. 1641-1645 - Le Trung Thanh, Karim Abed-Meraim, Nguyen Linh Trung:
Performance Lower Bounds of Blind System Identification Techniques in the Presence of Channel Order Estimation Error. 1646-1650 - Viet-Dung Nguyen, Ali Mansour, Arnaud Coatanhay, Thierry Marsault:
A Fast Recursive Algorithm for Multiple Bridged Knife-Edge Diffraction. 1651-1655 - Yun Ai, Long Kong, Michael Cheffena, Symeon Chatzinotas, Björn E. Ottersten:
On Performance Characterization of Cascaded Multiwire-PLC/MIMO-RF Communication System. 1656-1660 - Satwika Bhogavalli, K. V. S. Hari:
An Analysis for the Performance of the OFDM-IM Systems Impaired by Carrier Frequency Offset. 1661-1665 - Amaury Durand, François Roueff, Jean-Marc Jicquel, Nicolas Paul:
Smooth nonnegative tensor factorization for multi-sites electrical load monitoring. 1666-1670 - Soumya Chakravarty, Smriti Rani, Arijit Chowdhury, Tapas Chakravarty, Arpan Pal:
A Novel Change Detection Technique for Occluded Objects using Ultra-Wideband Radar. 1671-1675 - Rahul Gupta, Konstantinos Ntougias, Ioannis Krikidis:
Design and Implementation of a Novel MSK-based Frequency-Domain SWIPT Multiplexing Scheme. 1676-1680 - Gizem Tabak, Xintian Eddie Lin, Andrew C. Singer:
High Data Rate Near-Ultrasonic Communication with Consumer Devices. 1681-1685 - Imene Mitiche, Alireza Salimy, Falk Werner, Philip Boreham, Alan Nesbitt, Gordon Morison:
OODCN: Out-Of-Distribution Detection in Capsule Networks for Fault Identification. 1686-1690 - Alireza Salimy, Imene Mitiche, Philip Boreham, Alan Nesbitt, Gordon Morison:
Robust Deep Residual Shrinkage Networks for Online Fault Classification. 1691-1695 - Sapna Thapar, Insha Amin, Deepak Mishra, Ravikant Saini:
Secrecy Outage Probability Analysis for Downlink NOMA with Imperfect SIC at Untrusted Users. 1696-1700 - R. David Badger, Kristopher H. Jung, Minje Kim:
An Open-Sourced Time-Frequency Domain RF Classification Framework. 1701-1705 - Artan Salihu, Stefan Schwarz, Markus Rupp:
Towards Scalable Uncertainty Aware DNN-based Wireless Localisation. 1706-1710 - Hoang Minh Le, Dirk T. M. Slock, Jean-Pierre Rossi:
2D DDoA-based Self-Positioning for Mobile Devices. 1711-1715 - Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala:
Homotopy Continuation for Sensor Networks Self-Calibration. 1725-1729 - Filip Elvander, Johan Karlsson, Toon van Waterschoot:
Convex Clustering for Multistatic Active Sensing via Optimal Mass Transport. 1730-1734 - Joaquim Estopinan, Guillaume Tochon, Lucas Drumetz:
Learning Sentinel-2 Spectral Dynamics for Long-Run Predictions using Residual Neural Networks. 1735-1739 - Martina Pastorino, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia:
Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks for Remote Sensing Image Classification. 1740-1744 - Thomas Stadelmayer, Avik Santra, Markus Stadelmayer, Robert Weigel, Fabian Lurz:
Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sine Filter on Radar Time Domain Data. 1745-1749 - Fady Aziz, Bassam Elmakhzangy, Christophe Maufroy, Urs Schneider, Marco F. Huber:
DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing. 1750-1754 - Maria-Elisavet Chatzitheodoridi, Abigaël Taylor, Olivier Rabaste, Hélène Oriot:
A Sidelobe Level Minimization Mismatched Filter using Continuous Phase Frequency-Shift Keying Codes for the Off-Grid Delay Problem. 1755-1759 - Gaston Solodky, Oren Longman, Ishai Eljarat, Igal Bilik:
CLEAN Receiver for CDMA MIMO Radar. 1760-1764 - Oded Bialer, Amnon Jonas, Tom Tirer:
Code Design For Automotive MIMO Radar. 1765-1769 - Madhumitha Sakthi, Ahmed H. Tewfik:
Automotive Radar Data Acquisition Using Object Detection. 1770-1774 - Sebastian Banzhaf, Christian Waldschmidt:
Phase-Coded FMCW Lidar. 1775-1779 - Tristan S. W. Stevens, R. Firat Tigrek, Eric S. Tammam, Ruud J. G. van Sloun:
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection. 1780-1784 - Ioanna Siaminou, Athanasios P. Liavas:
An Accelerated Stochastic Gradient for Canonical Polyadic Decomposition. 1785-1789 - Ioanna Siaminou, Ioannis Marios Papagiannakos, Christos Kolomvakis, Athanasios P. Liavas:
Accelerated Stochastic Gradient for Nonnegative Tensor Completion and Parallel Implementation. 1790-1794 - Yao Lei Xu, Danilo P. Mandic:
Recurrent Graph Tensor Networks: A Low-Complexity Framework for Modelling High-Dimensional Multi-Way Sequences. 1795-1799 - Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis:
A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation. 1800-1804 - Isaac Wilfried Sanou, Roland Redon, Xavier Luciani, Stéphane Mounier:
Online Nonnegative Canonical Polyadic Decomposition: Algorithms and Application. 1805-1809 - Federico Larroca, Paola Bermolen, Marcelo Fiori, Gonzalo Mateos:
Change Point Detection in Weighted and Directed Random Dot Product Graphs. 1810-1814 - Kaiwen Zhang, Mario Coutino, Elvin Isufi:
Sampling Graph Signals with Sparse Dictionary Representation. 1815-1819 - Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
Online Graph Learning under Smoothness Priors. 1820-1824 - Yufan Fan, Minh Trinh-Hoang, Marius Pesavento:
Decentralized Eigendecomposition for Online Learning over Graphs. 1825-1829 - Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri:
Learning Multi-layer Graphs and a Common Representation for Clustering. 1830-1834 - Patitapaban Palo, Aurobinda Routray, Sanjai Kumar Singh:
Seismic Fault Analysis Using Graph Signal Regularization. 1835-1839 - Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning. 1840-1844 - Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro:
Stability of Neural Networks on Riemannian Manifolds. 1845-1849 - Jitendra K. Tugnait:
Sparse-Group Non-convex Penalized Multi-Attribute Graphical Model Selection. 1850-1854 - Leila Ben Saad, Baltasar Beferull-Lozano:
Quantization in Graph Convolutional Neural Networks. 1855-1859 - Pia Addabbo, Filippo Biondi, Danilo Orlando, Giuseppe Ricci:
Radar Environment Classificator with Clustering Capabilities. 1860-1864 - Shuichi Ohno, Shenjian Wang:
One-bit Error-Feedback Quantizer for Uniform Linear Antenna Array. 1865-1869 - Yu Rong, Kumar Vijay Mishra, Daniel W. Bliss:
Radar-Based Radial Arterial Pulse Rate and Pulse Pressure Analysis. 1870-1874 - Neda Rojhani, Lorenzo Borghini, Maria S. Greco, Fulvio Gini:
CRLB Performance for Widely Separated MIMO Radar in CES Disturbance. 1875-1879 - Nadav Neuberger, Risto Vehmas:
On Maximum Likelihood DOA Estimation for Space Surveillance Radar. 1880-1884 - Li He, Wei Xue:
Causal System Identification based Compensation for Reverberation-Robust DOA Estimation. 1885-1889 - Yassine Mhiri, Mohammed Nabil El Korso, Lucien Bacharach, Arnaud Breloy, Pascal Larzabal:
Expectation-Maximization Based Direction of Arrival Estimation Under a Mixture of Noise. 1890-1893 - Jannik Springer, Clemens Allmann, Marc Oispuu:
A Co-Array Approach to Multi-Source 2D-DOA Estimation with Time-Multiplexed Array Elements. 1895-1899 - David Schenck, Minh Trinh-Hoang, Marius Pesavento:
Partially Relaxed Fourier Domain Direction of Arrival Estimation. 1900-1904 - Steven Wandale, Koichi Ichige:
A Nested Array Geometry with Enhanced Degrees of Freedom and Hole- Free Difference Coarray. 1905-1909 - Neha Singh, Sylvain Meignen, Thomas Oberlin:
Source Separation Based on Non-Negative Matrix Factorization of the Synchrosqueezing Transform. 1910-1914 - Maria Sandsten, Isabella Reinhold, Rachele Anderson:
Parameter Estimation from the Cross-Spectrogram Reassignment Vectors. 1915-1919 - Isabella Reinhold, Maria Sandsten:
Non-parametric Envelope Estimation for the Matched Window Reassignment. 1920-1924 - Quentin Legros, Dominique Fourer:
A Novel Pseudo-Bayesian Approach for Robust Multi-Ridge Detection and Mode Retrieval. 1925-1929 - Lorena Leon, Herwig Wendt, Jean-Yves Tourneret, Patrice Abry:
Bayesian Estimation of the Parameters of the Bivariate Multifractal Spectrum. 1930-1934 - Carmen Sippel, Robert F. H. Fischer:
VAMP with Individual Variances and Sequential Processing for Compressed Sensing. 1935-1939 - Chihiro Teramoto, Kazushi Mimura, Kazunori Iwata:
Typical Performance of Iterative Reweighted Lasso for Compressed Sensing. 1940-1944 - Ryohei Sasaki, Katsumi Konishi:
Acceleration Technique for Multiple k-means Clustering based Locally Low-rank Approach to Nonlinear Matrix Completion. 1945-1949 - Komal Krishna Mogilipalepu, Sumanth Kumar Modukuri, Amarlingam Madapu, Sundeep Prabhakar Chepuri:
Federated Deep Unfolding for Sparse Recovery. 1950-1954 - Shuvayan Banerjee, Radhendushka Srivastava, Ajit Rajwade:
Reconstruction Of Sparse Signals Using Likelihood Maximization from Compressive Measurements with Gaussian And Saturation Noise. 1955-1959 - Charles-Gérard Lucas, Patrice Abry, Herwig Wendt, Gustavo Didier:
Bootstrap for testing the equality of selfsimilarity exponents across multivariate time series. 1960-1964 - Yicong Li, Calvin Chan, Yang Li, Ercan Engin Kuruoglu:
How Does Policy Stringency Affect the Spread of COVID-19 Pandemic? A Country Level Study. 1965-1969 - Abdullah Abdulaziz, Dan Yao, Yoann Altmann, Steve McLaughlin:
Blind deconvolution of images corrupted by Gaussian noise using Expectation Propagation. 1970-1974 - Yuhao Liu, Petar M. Djuric:
The Use of Gaussian Processes as Particles for Sequential Monte Carlo Estimation of Time-Varying Functions. 1975-1979 - Marzieh Ajirak, Cassandra Heiselman, Anna Fuchs, Mia Heiligenstein, Kimberly Herrera, Diana Garretto, Petar M. Djuric:
Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women. 1980-1984 - Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
Task-Based Analog-to-Digital Converters for Bandlimited Systems. 1985-1989 - Noura Dridi, Lucas Drumetz, Ronan Fablet:
Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme. 1990-1994 - Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda, Tomoki Toda:
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids. 1995-1999 - Monika Warmuth, Philipp Romberger, Christian Uhl:
Robust Dynamical Component Analysis via Multivariate Variational Denoising. 2000-2004 - Maosheng Yang, Elvin Isufi, Michael T. Schaub, Geert Leus:
Finite Impulse Response Filters for Simplicial Complexes. 2005-2009 - Aviv Regev, Jonatan Ostrometzky, Hagit Messer:
Inherent Limitations of Parameter Estimation of a Tempo-Spatial Field Using an Array of Heterogeneous Sensors. 2010-2014 - Gökhan Gül, Michael Baßler:
An Exponential Time Algorithm for Multilevel Quantization in Distributed Detection. 2015-2019 - Sijung Yang, Andrew C. Singer:
HB-DTW: Hyperdimensional Bayesian Dynamic Time Warping for Non-uniform Doppler. 2020-2024 - Paolo Braca, Domenico Gaglione, Stefano Maranò, Leonardo Maria Millefiori, Peter Willett, Krishna R. Pattipati:
MAST: A Quickest Detection Procedure for COVID-19 Epidemiological Data to Trigger Strategic Decisions. 2025-2029 - Florian Liebgott, Marvin Jandt, Mark Eberspächer, Annika Liebgott, Bin Yang:
Spectrum-Based Online Estimation of IQ Imbalance for Near Field Radar Distance Sensors. 2030-2034 - Artur Gancza, Maciej Niedzwiecki:
Regularized Identification of Time-Varying FIR Systems Based on Generalized Cross-Validation. 2035-2039 - Gökhan Gül:
Comparison of Robust Hypothesis Tests for Fixed Sample Size and Sequential Observations. 2040-2044 - Martin Hellkvist, Ayça Özçelikkale:
Model Mismatch Trade-offs in LMMSE Estimation. 2045-2049 - Khuram Naveed, Naveed ur Rehman:
A Novel Multivariate Goodness-of-Fit Test based on Mahalanobis Distance and Its Application in Denoising. 2050-2054 - Gökhan Gül, Michael Baßler:
Evaluation of Performance Bounds in Distributed Detection. 2055-2058 - Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia:
Second-Order Trust-Region Optimization for Data-Limited Inference. 2059-2063 - Gustavo Silva, Paul Rodríguez:
Robustifying stability of the Fast iterative shrinkage thresholding algorithm for $\ell_{1}$ regularized problems. 2064-2068 - Jean-Baptiste Fest, Emilie Chouzenoux:
Stochastic Majorize-Minimize Subspace Algorithm with Application to Binary Classification. 2069-2073 - Ségolène Martin, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems. 2074-2078 - Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen:
Exact Biobjective k-Sparse Nonnegative Least Squares. 2079-2083 - Andersen Ang, Valentin Leplat, Nicolas Gillis:
Fast algorithm for complex-NMF with application to source separation. 2084-2088 - Miguel Simões, Andreas Themelis, Panagiotis Patrinos:
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. 2089-2093 - Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval:
GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration. 2094-2098 - Zepeng Zhang, Ziping Zhao:
Vast Portfolio Selection With Submodular Norm Regularizations. 2099-2103 - Manar Al-Askary, Udaya Sampath K. Perera Miriya Thanthrige, Pierre Pfeffer, Luis Wachter, Giovanni Schober, Aydin Sezgin:
A comparative Study of Low-Rank-plus-Sparse Matrix Decomposition and Machine Learning for Non-Destructive Air-Ultrasound Defect Detection. 2109-2113 - Pinjun Zheng, Ning Fu, Liyan Qiao:
A Super Resolution Phase Retrieval Method for Sparse Signals with Arbitrary Scattering Function. 2114-2118 - Daichi Kitahara, Rikako Kato, Hiroki Kuroda, Akira Hirabayashi:
Multi-Contrast CSMRI Using Common Edge Structures with LiGME Model. 2119-2123 - Chinmay Gurjarpadhye, Shubhang Bhatnagar, Ajit Rajwade:
Analyzing Cross Validation in Compressed Sensing with Mixed Gaussian And Impulse Measurement Noise With L1 Errors. 2124-2128 - Ryota Komatsu, Masao Yamagishi, Isao Yamada:
A Graph Regularized RPCA by Generalized Moreau Enhanced Model. 2129-2133 - Yang Chen, Masao Yamagishi, Isao Yamada:
A Generalized Moreau Enhancement of $\ell_{2, 1}$ -norm and Its Application to Group Sparse Classification. 2134-2138 - Florin Ilarion Miertoiu, Bogdan Dumitrescu:
Shape Parameter and Sparse Representation Recovery under Generalized Gaussian Noise. 2139-2143 - Edwin Vargas, Henry Arguello:
Dictionary Learning of Binary Atoms by using a Smooth Approximation. 2144-2148 - Shristi Rajbamshi, Georg Tauböck, Nicki Holighaus, Péter Balázs:
Audio Inpainting via $\ell_{1}$-Minimization and Dictionary Learning. 2149-2153 - Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis:
A Distributed Sparse Channel Estimation Technique for mm Wave Massive MIMO Systems. 2154-2158 - Charles Hovine, Alexander Bertrand:
Distributed MAXVAR: Identifying Common Signal Components across the Nodes of a Sensor Network. 2159-2163 - Maria Sandsten, Rachele Anderson, Isabella Reinhold, Bo Bernhardsson, Carolina Bergeling, Mikael Johansson:
A Novel Multitaper Reassignment Method for Estimation of Phase Synchrony. 2164-2168 - Raphaël Baena, Lucas Drumetz, Vincent Gripon:
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. 2169-2173 - Miao Yang, Ximin Wang, Hongbin Zhu, Haifeng Wang, Hua Qian:
Federated Learning with Class Imbalance Reduction. 2174-2178 - Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis:
Autoencoder-Based Gradient Compression for Distributed Training. 2179-2183 - Marek Parfieniuk:
Lifting-based Alternatives to the FFT for Computing the 4-, 8-, and 16-point Discrete Fourier Transforms. 2184-2188 - Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin:
Robust Principal Component Analysis Using a Novel Kernel Related with the $L_{1}$ -Norm. 2189-2193 - Thomas Dittrich, Gerald Matz:
A Maximum A Posteriori Relaxation For Clustering The Labeled Stochastic Block Model. 2194-2198 - Roxana Alexandru, Thierry Blu, Pier Luigi Dragotti:
Localising Diffusion Sources from Samples Taken Along Unknown Parametric Trajectories. 2199-2203 - Gojko Cutura, Boning Li, Ananthram Swami, Santiago Segarra:
Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks. 2204-2208
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