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ORCIDMLSP 2014: Reims, France
- IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2014, Reims, France, September 21-24, 2014. IEEE 2014
- Weiguang Wang, Yingbin Liang, Eric P. Xing, Lixin Shen:
Sparse sensor selection for nonparametric decentralized detection via L1 regularization. 1-6 - Patric Nader
, Paul Honeine, Pierre Beauseroy:
Mahalanobis-based one-class classification. 1-6 - Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill:
Filtering perturbed in-vehicle pointing gesture trajectories: Improving the reliability of intent inference. 1-6 - Josef Kulmer, Pejman Mowlaee, Mario Kaoru Watanabe:
A probabilistic approach for phase estimation in single-channel speech enhancement using von mises phase priors. 1-6 - Ryunosuke Hamada, Takatomi Kubo, Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Kazushi Ikeda:
Birdsong analysis using beta process hidden Markov model. 1-5 - Morten Mørup, Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt:
Nonparametric statistical structuring of knowledge systems using binary feature matches. 1-6 - Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy:
Kernel learning as minimization of the single validation estimate. 1-6 - Yelena Tonoyan, David Looney, Danilo P. Mandic, Marc M. Van Hulle:
Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm. 1-5 - Gene T. Whipps, Emre Ertin, Randolph L. Moses:
A consensus-based decentralized emforamixture of factor analyzers. 1-6 - Arno Solin, Simo Särkkä:
Gaussian quadratures for state space approximation of scale mixtures of squared exponential covariance functions. 1-6 - Alfredo A. Kalaitzis, James D. B. Nelson:
Online joint classification and anomaly detection via sparse coding. 1-6 - Bjarne Ørum Fruergaard, Lars Kai Hansen:
Compact web browsing profiles for click-through rate prediction. 1-6 - Marwa El Halabi, Luca Baldassarre, Volkan Cevher:
Map estimation for Bayesian mixture models with submodular priors. 1-6 - Kamil Dedecius:
Diffusion estimation of state-space models: Bayesian formulation. 1-6 - Xiaoxuan Lu, Yushen Long, Han Zou, Chengpu Yu, Lihua Xie:
Robust extreme learning machine for regression problems with its application to wifi based indoor positioning system. 1-6 - Norimichi Ukita, Yoichi Matsuyama, Norihiro Hagita:
Efficient modeling by selecting learning samples in human pose estimation. 1-6 - Taro Tezuka:
A dictionary learning algorithm for sparse coding by the normalized bilateral projections. 1-6 - Masashi Kitamura, Akiko Takeda, Satoru Iwata:
Exact SVM training by Wolfe's minimum norm point algorithm. 1-6 - Israel D. Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes:
Audio-visual speaker localization via weighted clustering. 1-6 - Ladislav Lenc, Pavel Král:
Two-step supervised confidence measure for automatic face recognition. 1-6 - Rasmus Bonnevie, Lars Kai Hansen:
Fast sampling from a Hidden Markov Model posterior for large data. 1-6 - Anh T. Pham, Raviv Raich:
Kernel-based instance annotation in multi-instance multi-label learning. 1-6 - George A. Papakostas, Konstantinos I. Diamantaras:
Efficient data classification by GPU-accelerated linear mean squared slack minimization. 1-6 - Victor Maurandi, Eric Moreau:
A new fast Jacobi-like algorithm for non-orthogonal joint diagonalization of real-valued matrices based on a QR parameterization. 1-6 - Philippe Cuvillier, Arshia Cont:
Coherent time modeling of Semi-Markov models with application to real-time audio-to-score alignment. 1-6 - Xin Li, Raviv Raich:
Performance analysis of surrogate supervision multi-view learning linear classifiers in Gaussian data. 1-6 - Meysam Asgari, Izhak Shafran, Alireza Bayestehtashk:
Inferring social contexts from audio recordings using deep neural networks. 1-6 - Meysam Asgari, Izhak Shafran, Lisa B. Sheeber:
Inferring clinical depression from speech and spoken utterances. 1-5 - Romain Couillet, Matthew R. McKay:
Robust covariance estimation and linear shrinkage in the large dimensional regime. 1-6 - Hossein Soleimani, David J. Miller:
Sparse topic models by parameter sharing. 1-6 - Shaofeng Zou, Yingbin Liang, H. Vincent Poor:
A kernel-based nonparametric test for anomaly detection over line networks. 1-6 - Po-Hsuan Chen, J. Swaroop Guntupalli, James V. Haxby, Peter J. Ramadge:
Joint SVD-Hyperalignment for multi-subject FMRI data alignment. 1-6 - Konstantinos Eftaxias, Saeid Sanei:
Discrimination of task-related eeg signals using diffusion adaptation and S-transform coherency. 1-6 - Arthur F. Duprat, Jean-Luc Ploix, Fabienne Dioury, Gérard Dreyfus:
Toward big data in QSAR/QSPR. 1-6 - Wei Gao, Cédric Richard, José Carlos M. Bermudez, Jianguo Huang:
Convex combinations of kernel adaptive filters. 1-5 - Milica Milosevic, Anouk Van de Vel, Bert Bonroy, Berten Ceulemans, Lieven Lagae, Bart Vanrumste, Sabine Van Huffel:
Detection of epileptic convulsions from accelerometry signals through machine learning approach. 1-6 - Dalia El Badawy, Ngoc Q. K. Duong, Alexey Ozerov:
On-the-fly audio source separation. 1-6 - Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah:
Diffusion strategies for in-network principal component analysis. 1-6 - Lei Guo, Hua Qu, Ji-hong Zhao, Badong Chen:
Vector quantization using survival Cauchy-Schwartz divergence. 1-5 - Hamid Reza Feyzmahdavian, Arda Aytekin, Mikael Johansson:
A delayed proximal gradient method with linear convergence rate. 1-6 - Rafal Zdunek:
Alternating direction method for approximating smooth feature vectors in Nonnegative Matrix Factorization. 1-6 - Guy Wolf, Stéphane Mallat, Shihab A. Shamma:
Audio source separation with time-frequency velocities. 1-6 - Tomoki Koriyama, Takashi Nose, Takao Kobayashi:
Parametric speech synthesis using local and global sparse Gaussian processes. 1-6 - Nikhil Bajaj, George T.-C. Chiu, Jan P. Allebach:
Reduction of memory footprint and computation time for embedded Support Vector Machine (SVM) by kernel expansion and consolidation. 1-6 - Anthony H. P. Lo, Richard Hau Yue So, Bertram E. Shi:
Inferring targets from gaze. 1-6 - Hirokazu Kameoka, Norihiro Takamune:
Training Restricted Boltzmann Machines with auxiliary function approach. 1-6 - Rogers F. Silva, Eduardo Castro, Cota Navin Gupta, Mustafa S. Çetin, Mohammad Arbabshirani, Vamsi K. Potluru, Sergey M. Plis, Vince D. Calhoun:
The tenth annual MLSP competition: Schizophrenia classification challenge. 1-6 - Zacharie Naulet, Eric Barat:
Signal stochastic decomposition over continuous dictionaries. 1-6 - Jørgen Andreas Agersborg, Robert Jenssen:
Mean Shift Spectral Clustering using Kernel Entropy Component Analysis. 1-6 - Hanwook Chung, Eric Plourde, Benoît Champagne:
Regularized NMF-based speech enhancement with spectral components modeled by gaussian mixtures. 1-6 - Abdelhakim Limem, Matthieu Puigt, Gilles Delmaire, Gilles Roussel, Dominique Courcot:
Bound constrained weighted NMF for industrial source apportionment. 1-6 - Ruairí de Fréin:
Learning and storing the parts of objects: IMF. 1-6 - Pascal Bianchi, Walid Hachem, Franck Iutzeler:
A stochastic coordinate descent primal-dual algorithm and applications. 1-6 - Tommy S. Alstrøm, Kasper B. Frohling, Jan Larsen, Mikkel N. Schmidt, Michael Bache, Michael S. Schmidt, Mogens H. Jakobsen, Anja Boisen:
Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization. 1-6 - Edith Grall-Maës:
Spatial stochastic process clustering using a local a posteriori probability. 1-6 - Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Gianluigi Pillonetto:
Kalman smoothing with persistent nuisance parameters. 1-6 - Jie Chen, Cédric Richard, Alfred O. Hero III, Ali H. Sayed:
Diffusion LMS for multitask problems with overlapping hypothesis subspaces. 1-6 - Robert Dürichen, Tobias Wissel, Floris Ernst, Marco A. F. Pimentel, David A. Clifton, Achim Schweikard:
A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes. 1-6 - Zaid J. Towfic, Jianshu Chen, Ali H. Sayed:
Dictionary learning over large distributed models via dual-ADMM strategies. 1-6 - Stefen Chan Wai Tim, Michèle Rombaut, Denis Pellerin:
Dictionary of gray-level 3D patches for action recognition. 1-6 - Ville Tolvanen, Pasi Jylänki, Aki Vehtari:
Expectation propagation for nonstationary heteroscedastic Gaussian process regression. 1-6 - Konstantinos I. Tsianos, Anand D. Sarwate, Michael G. Rabbat:
Tradeoffs for task parallelization in distributed optimization. 1-6 - Fei Zhu, Paul Honeine, Maya Kallas:
Kernel nonnegative matrix factorization without the pre-image problem. 1-6 - Alexandros Georgogiannis, Vassilios Digalakis:
Joint estimation of multiple undirected graphical models. 1-6 - Alexander V. Lebedev:
The 10th annual MLSP competition: Second place. 1-4 - Rodrigo Cabral Farias, Pierre Comon, Roland Redon:
Data mining by nonnegative tensor approximation. 1-6 - Vahid Bastani, Lucio Marcenaro, Carlo S. Regazzoni:
Unsupervised trajectory pattern classification using hierarchical Dirichlet Process Mixture hidden Markov model. 1-6 - Takuya Higuchi, Hirokazu Kameoka:
Joint audio source separation and dereverberation based on multichannel factorial hidden Markov model. 1-6 - Johannes Traa, Paris Smaragdis:
Multiple speaker tracking with the Factorial von Mises-Fisher Filter. 1-6 - Arno Solin, Simo Särkkä:
The 10th annual MLSP competition: First place. 1-3 - Gianluigi Pillonetto, Aleksandr Y. Aravkin:
A new kernel-based approach for identification of time-varying linear systems. 1-6 - Laurent Albera, Srdan Kitic, Nancy Bertin, Gilles Puy, Rémi Gribonval:
Brain source localization using a physics-driven structured cosparse representation of EEG signals. 1-6 - Il-Young Jeong, Kyogu Lee:
Vocal separation using extended robust principal component analysis with Schatten p/lp-norm and scale compression. 1-6 - Simo Särkkä, Robert Piché:
On convergence and accuracy of state-space approximations of squared exponential covariance functions. 1-6 - Yohan Petetin, François Desbouvries:
Exact Bayesian estimation in constrained Triplet Markov Chains. 1-6 - Karolis Koncevicius:
The 10th annual MLSP competition: Third place. 1-2 - Tamás Grósz, Péter Bodnár, László Tóth, László G. Nyúl:
QR code localization using deep neural networks. 1-6 - Kenji Nose Filho, João Marcos Travassos Romano:
On ℓp -norm sparse blind deconvolution. 1-6 - Sajjad Amini, Mostafa Sadeghi, Mohsen Joneidi, Massoud Babaie-Zadeh, Christian Jutten:
Outlier-aware dictionary learning for sparse representation. 1-6 - David Brie, Sebastian Miron, Philippe Becuwe, Stephanie Grandemange:
A non-negative multilinear block tensor decomposition approach to flow cytometry data analysis. 1-6 - Konstantinos Papachristou, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Stereoscopic video shot classification based on Weighted Linear Discriminant Analysis. 1-6 - Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác:
Fast distributed coordinate descent for non-strongly convex losses. 1-6 - Norihiro Takamune, Hirokazu Kameoka:
Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach. 1-6 - Xuan Thanh Vu, Caroline Chaux, Sylvain Maire, Nadège Thirion-Moreau:
Study of different strategies for the Canonical Polyadic decomposition of nonnegative third order tensors with application to the separation of spectra in 3D fluorescence spectroscopy. 1-6 - Ernesto Tapia:
Gaussian and student-t filtering using implicit measurements via variational bayes. 1-6 - Søren Føns Vind Nielsen, Morten Mørup:
Non-negative Tensor Factorization with missing data for the modeling of gene expressions in the Human Brain. 1-6 - Matineh Shaker, Jonas Nordhaug Myhre, M. Devrim Kaba, Deniz Erdogmus:
Invertible nonlinear cluster unwrapping. 1-6 - Steven Lauwereins, Wannes Meert, Jort F. Gemmeke, Marian Verhelst:
Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees. 1-6
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