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2020 – today
- 2023
[j90]Pooja Gupta
, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework. Expert Syst. Appl. 227: 120238 (2023)- [j89]Jyoti Maggu, Angshul Majumdar:
Kernelized transformed subspace clustering with geometric weights for non-linear manifolds. Neurocomputing 520: 141-151 (2023) - [j88]Davide Salvi, Clara Borrelli, Paolo Bestagini, Fabio Antonacci, Matthew C. Stamm, Lucio Marcenaro, Angshul Majumdar:
Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 40(6): 92-98 (2023) - [j87]Stuti Jain, Émilie Chouzenoux, Kriti Kumar, Angshul Majumdar:
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. IEEE J. Biomed. Health Informatics 27(5): 2565-2574 (2023) - [i46]Davide Cozzolino, Koki Nagano, Lucas Thomaz, Angshul Majumdar, Luisa Verdoliva:
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition. CoRR abs/2309.12428 (2023) - 2022
- [j86]Divyanshu Talwar, Aanchal Mongia, Émilie Chouzenoux, Angshul Majumdar:
Binary matrix completion on graphs: Application to collaborative filtering. Digit. Signal Process. 122: 103350 (2022) - [j85]Shalini Sharma, Angshul Majumdar:
Deep state space model for predicting cryptocurrency price. Inf. Sci. 618: 417-433 (2022) - [j84]Aanchal Mongia, Stuti Jain, Émilie Chouzenoux, Angshul Majumdar:
DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning - Application to COVID-19. J. Comput. Biol. 29(5): 441-452 (2022) - [j83]Anurag Goel, Angshul Majumdar:
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j82]Anurag Goel, Angshul Majumdar:
K-Means Embedded Deep Transform Learning for Hyperspectral Band Selection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j81]Angshul Majumdar:
Solving inverse problems with autoencoders on learnt graphs. Signal Process. 190: 108300 (2022) - [j80]Priyadarshini Rai, Debarka Sengupta, Angshul Majumdar:
SelfE: Gene Selection via Self-Expression for Single-Cell Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 624-632 (2022) - [j79]Aanchal Mongia, Émilie Chouzenoux, Angshul Majumdar:
Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3332-3339 (2022) - [j78]Angshul Majumdar:
Trainingless Energy Disaggregation Without Plug-Level Sensing. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [j77]Angshul Majumdar:
Disaggregating a New Appliance On-the-Fly Without Data Acquisition and Retraining. IEEE Trans. Instrum. Meas. 71: 1-4 (2022) - [j76]Shikha Singh, Émilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar:
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. ACM Trans. Knowl. Discov. Data 16(5): 91:1-91:6 (2022) - [j75]Shikha Singh, Angshul Majumdar:
Multi-Label Deep Blind Compressed Sensing for Low-Frequency Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 13(1): 4-7 (2022) - [c146]R. Krishna Kanth, Andrew Gigie, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, Balamuralidhar P:
Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning. EUSIPCO 2022: 474-478 - [c145]Jyoti Maggu, Shalini Sharma, Angshul Majumdar:
Transductive Inversion via Deep Transform Learning. EUSIPCO 2022: 1357-1361 - [c144]K. Aditi, Achanna Anil Kumar, Angshul Majumdar, Tapas Chakravarty, Kriti Kumar:
Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow. EUSIPCO 2022: 1926-1930 - [c143]Angshul Majumdar:
Iterative Re-weighted Least Squares Algorithms for Non-negative Sparse and Group-sparse Recovery. ICASSP 2022: 4423-4427 - [c142]Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. ICDM (Workshops) 2022: 171-179 - [c141]Shikha Singh, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. ICIP 2022: 206-210 - [c140]Anurag Goel, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional K-Means Clustering. ICIP 2022: 211-215 - [c139]K. Aditi, Achanna Anil Kumar, Angshul Majumdar, R. Krishna Kanth, Tapas Chakravarty, Kriti Kumar, Arpan Pal:
Phaseless FMCW Multistatic Radar. IEEE SENSORS 2022: 1-4 - [c138]Naibedya Pattnaik, Uday Sai Vemula, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, M. Girish Chandra, Arpan Pal:
CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. SenSys 2022: 973-979 - [i45]Stuti Jain, Émilie Chouzenoux, Kriti Kumar, Angshul Majumdar:
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. CoRR abs/2210.10784 (2022) - 2021
- [j74]Pooja Gupta, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems. Expert Syst. Appl. 169: 114206 (2021) - [j73]Aanchal Mongia, Angshul Majumdar:
Matrix completion on learnt graphs: Application to collaborative filtering. Expert Syst. Appl. 185: 115652 (2021) - [j72]Shalini Sharma, Víctor Elvira, Émilie Chouzenoux, Angshul Majumdar:
Recurrent dictionary learning for state-space models with an application in stock forecasting. Neurocomputing 450: 1-13 (2021) - [j71]Angshul Majumdar:
Kernelized Linear Autoencoder. Neural Process. Lett. 53(2): 1597-1614 (2021) - [j70]Shalini Sharma, Angshul Majumdar:
Sequential Transform Learning. ACM Trans. Knowl. Discov. Data 15(5): 86:1-86:18 (2021) - [j69]Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux:
Transformed Subspace Clustering. IEEE Trans. Knowl. Data Eng. 33(4): 1796-1801 (2021) - [c137]Arijit Ukil, Ishan Sahu, Angshul Majumdar, Sai Chander Racha, Gitesh Kulkarni, Anirban Dutta Choudhury, Sundeep Khandelwal, Avik Ghose, Arpan Pal:
Resource Constrained CVD Classification Using Single Lead ECG On Wearable and Implantable Devices. EMBC 2021: 886-889 - [c136]Arup Kumar Das, Kriti Kumar, Angshul Majumdar, Saurabh Sahu, M. Girish Chandra:
Multi-Sensor Fusion Framework using Discriminative Autoencoders. EUSIPCO 2021: 1351-1355 - [c135]Anurag Goel, Angshul Majumdar:
Transformed K-means Clustering. EUSIPCO 2021: 1526-1530 - [c134]Andrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra:
Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. ICASSP 2021: 1640-1644 - [c133]Anurag Goel, Angshul Majumdar:
Clustering Friendly Dictionary Learning. ICONIP (1) 2021: 549-557 - [c132]Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra:
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. IJCNN 2021: 1-7 - [c131]Ishan Sahu, Arpan Pal, Arijit Ukil, Angshul Majumdar:
Compressing Deep Neural Network: A Black-Box System Identification Approach. IJCNN 2021: 1-8 - [c130]Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Émilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty:
Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. KDD 2021: 2732-2742 - [i44]Anurag Goel, Angshul Majumdar:
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification. CoRR abs/2111.13920 (2021) - [i43]Anurag Goel, Angshul Majumdar:
Transformed K-means Clustering. CoRR abs/2111.13921 (2021) - 2020
- [j68]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
DeConFuse: a deep convolutional transform-based unsupervised fusion framework. EURASIP J. Adv. Signal Process. 2020(1): 26 (2020) - [j67]Vanika Singhal, Angshul Majumdar:
Reconstructing multi-echo magnetic resonance images via structured deep dictionary learning. Neurocomputing 408: 135-143 (2020) - [j66]Aanchal Mongia, Debarka Sengupta, Angshul Majumdar:
deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data. J. Comput. Biol. 27(7): 1011-1019 (2020) - [j65]Angshul Majumdar:
Graph transform learning. Neural Networks 128: 248-253 (2020) - [j64]Vanika Singhal, Angshul Majumdar:
A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning. Pattern Recognit. 100: 107163 (2020) - [j63]Aanchal Mongia, Neha Jhamb, Émilie Chouzenoux, Angshul Majumdar:
Deep latent factor model for collaborative filtering. Signal Process. 169: 107366 (2020) - [j62]Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
Deeply transformed subspace clustering. Signal Process. 174: 107628 (2020) - [j61]Shikha Singh, Angshul Majumdar:
Non-Intrusive Load Monitoring via Multi-Label Sparse Representation-Based Classification. IEEE Trans. Smart Grid 11(2): 1799-1801 (2020) - [c129]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. EUSIPCO 2020: 1986-1990 - [c128]Saurabh Sahu, Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
Deep Transform Learning for Multi-Sensor Fusion. EUSIPCO 2020: 1996-2000 - [c127]Aanchal Mongia, Angshul Majumdar:
Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction. ICASSP 2020: 1324-1328 - [c126]Shikha Singh, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. ICASSP 2020: 4287-4291 - [c125]Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar:
Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices. ICASSP 2020: 8339-8343 - [c124]Priyadarshini Rai, Angshul Majumdar, Debarka Sengupta:
Cluster Aware Deep Dictionary Learning for Single Cell Analysis. ICONIP (5) 2020: 62-69 - [c123]Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning. ICONIP (5) 2020: 300-307 - [c122]Aanchal Mongia, Vidit Jain, Angshul Majumdar:
Deep Matrix Factorization on Graphs: Application to Collaborative Filtering. ICONIP (4) 2020: 754-762 - [c121]Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra:
Multi-Label Auto-Encoder based Electrical Load Disaggregation. IJCNN 2020: 1-6 - [c120]Shikha Singh, Angshul Majumdar, Stephen Makonin:
Compressive Non-Intrusive Load Monitoring. BuildSys@SenSys 2020: 290-293 - [i42]Anupriya Gogna, Angshul Majumdar:
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework. CoRR abs/2001.04349 (2020) - [i41]Aanchal Mongia, Stuti Jain, Émilie Chouzenoux, Angshul Majumdar:
DeepVir - Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19. CoRR abs/2009.10333 (2020) - [i40]Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning - Extended version. CoRR abs/2010.01011 (2020) - [i39]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. CoRR abs/2011.04317 (2020) - [i38]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework. CoRR abs/2011.04337 (2020) - [i37]Pooja Gupta, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia:
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems. CoRR abs/2011.04364 (2020)
2010 – 2019
- 2019
- [j60]D. John Lewis, Vanika Singhal, Angshul Majumdar:
Solving Inverse Problems in Imaging via Deep Dictionary Learning. IEEE Access 7: 37039-37049 (2019) - [j59]Megha Gaur, Stephen Makonin, Ivan V. Bajic, Angshul Majumdar:
Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings. IEEE Access 7: 62721-62733 (2019) - [j58]Divya Sitani, A. Venkata Subramanyam, Angshul Majumdar:
Online single and multiple analysis dictionary learning-based approach for visual object tracking. J. Electronic Imaging 28(1): 013004 (2019) - [j57]Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar:
Label-Consistent Transform Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(9): 1502-1506 (2019) - [j56]Angshul Majumdar, Megha Gupta:
Recurrent transform learning. Neural Networks 118: 271-279 (2019) - [j55]Anupriya Gogna, Angshul Majumdar:
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. Neural Process. Lett. 49(3): 1723-1735 (2019) - [j54]Aanchal Mongia, Angshul Majumdar:
Matrix completion on multiple graphs: Application in collaborative filtering. Signal Process. 165: 144-148 (2019) - [j53]Angshul Majumdar:
Blind Denoising Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 30(1): 312-317 (2019) - [j52]Shikha Singh, Angshul Majumdar:
Analysis Co-Sparse Coding for Energy Disaggregation. IEEE Trans. Smart Grid 10(1): 462-470 (2019) - [j51]Vanika Singhal, Jyoti Maggu, Angshul Majumdar:
Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning. IEEE Trans. Smart Grid 10(3): 2969-2978 (2019) - [c119]Angshul Majumdar:
Deeply Coupled Graph Structured Autoencoder for Domain Adaptation. COMAD/CODS 2019: 94-102 - [c118]Aanchal Mongia, Vidit Jain, Émilie Chouzenoux, Angshul Majumdar:
Deep Latent Factor Model for Predicting Drug Target Interactions. ICASSP 2019: 1254-1258 - [c117]Sagar Verma, Shikha Singh, Angshul Majumdar:
Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring. ICASSP 2019: 8345-8349 - [c116]Jyoti Maggu, Angshul Majumdar:
Supervised Kernel Transform Learning. IJCNN 2019: 1-8 - [c115]Vanika Singhal, Angshul Majumdar:
Age and Gender Estimation via Deep Dictionary Learning Regression. IJCNN 2019: 1-8 - [c114]Vanika Singhal, Angshul Majumdar, Mayank Vatsa, Richa Singh:
Siamese Deep Dictionary Learning. IJCNN 2019: 1-6 - [c113]Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar:
Transform Learning Based Function Approximation for Regression and Forecasting. AALTD@PKDD/ECML 2019: 14-25 - [i36]Sagar Verma, Prince Patel, Angshul Majumdar:
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine. CoRR abs/1910.07724 (2019) - [i35]Sagar Verma, Shikha Singh, Angshul Majumdar:
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring. CoRR abs/1910.08149 (2019) - [i34]Vanika Singhal, Angshul Majumdar:
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning. CoRR abs/1912.04690 (2019) - [i33]Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux:
Transformed Subspace Clustering. CoRR abs/1912.04734 (2019) - [i32]Aanchal Mongia, Neha Jhamb, Émilie Chouzenoux, Angshul Majumdar:
Deep Latent Factor Model for Collaborative Filtering. CoRR abs/1912.04754 (2019) - [i31]Megha Gupta, Angshul Majumdar:
Recurrent Transform Learning. CoRR abs/1912.05198 (2019) - [i30]Jyoti Maggu, Prerna Singh, Angshul Majumdar:
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis. CoRR abs/1912.06631 (2019) - [i29]Angshul Majumdar:
Blind Denoising Autoencoder. CoRR abs/1912.07358 (2019) - [i28]Shikha Singh, Angshul Majumdar:
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification. CoRR abs/1912.07360 (2019) - [i27]Janki Mehta, Angshul Majumdar:
RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction. CoRR abs/1912.07519 (2019) - [i26]Vanika Singhal, Jyoti Maggu, Angshul Majumdar:
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning. CoRR abs/1912.07568 (2019) - [i25]Vanika Singhal, Angshul Majumdar:
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning. CoRR abs/1912.10801 (2019) - [i24]Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar:
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. CoRR abs/1912.10803 (2019) - [i23]Vanika Singhal, Angshul Majumdar:
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification. CoRR abs/1912.10804 (2019) - [i22]Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar:
Label Consistent Transform Learning for Hyperspectral Image Classification. CoRR abs/1912.11405 (2019) - [i21]Anupriya Gogna, Angshul Majumdar, Rabab Ward:
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. CoRR abs/1912.12127 (2019) - [i20]Shikha Singh, Angshul Majumdar:
Deep Sparse Coding for Non-Intrusive Load Monitoring. CoRR abs/1912.12128 (2019) - [i19]Jyoti Maggu, Angshul Majumdar:
Kernel Transform Learning. CoRR abs/1912.12129 (2019) - [i18]Shikha Singh, Angshul Majumdar:
Analysis Co-Sparse Coding for Energy Disaggregation. CoRR abs/1912.12130 (2019) - [i17]Anupriya Gogna, Angshul Majumdar:
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. CoRR abs/1912.12131 (2019) - 2018
- [j50]Vanika Singhal, Angshul Majumdar, Rabab K. Ward:
Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements. IEEE Access 6: 545-553 (2018) - [j49]Vanika Singhal, Angshul Majumdar, Rabab K. Ward:
Correction to "Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements". IEEE Access 6: 32676 (2018) - [j48]Megha Gaur, Angshul Majumdar:
Disaggregating Transform Learning for Non-Intrusive Load Monitoring. IEEE Access 6: 46256-46265 (2018) - [j47]Angshul Majumdar:
Graph structured autoencoder. Neural Networks 106: 271-280 (2018) - [j46]Vanika Singhal, Angshul Majumdar:
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning. Neural Process. Lett. 47(3): 799-814 (2018) - [j45]Kavya Gupta, Angshul Majumdar:
Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization. Neural Process. Lett. 48(1): 615-629 (2018) - [j44]Vanika Singhal, Angshul Majumdar:
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 5019-5028 (2018) - [j43]Manoj Gulati, Shobha Sundar Ram, Angshul Majumdar, Amarjeet Singh:
Single Point Conducted EMI Sensor With Intelligent Inference for Detecting IT Appliances. IEEE Trans. Smart Grid 9(4): 3716-3726 (2018) - [j42]Shikha Singh, Angshul Majumdar:
Deep Sparse Coding for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 9(5): 4669-4678 (2018) - [c112]Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh, Angshul Majumdar:
Identity Aware Synthesis for Cross Resolution Face Recognition. CVPR Workshops 2018: 479-488 - [c111]Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux:
Transformed Locally Linear Manifold Clustering. EUSIPCO 2018: 1057-1061 - [c110]Tulika Bose, Angshul Majumdar, Tanushyam Chattopadhyay:
Machine Load Estimation Via Stacked Autoencoder Regression. ICASSP 2018: 2126-2130 - [c109]Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar:
Regressing Kernel Dictionary Learning. ICASSP 2018: 2756-2760 - [c108]Jyoti Maggu, Angshul Majumdar:
Unsupervised Deep Transform Learning. ICASSP 2018: 6782-6786 - [c107]Angshuman Paul, Angshul Majumdar, Dipti Prasad Mukherjee:
Discriminative Autoencoder. ICIP 2018: 3049-3053 - [c106]