- Konstantinos I. Diamantaras, Sun-Yuan Kung:
Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition. MLSP 2016: 1-6 - Tom Diethe, Niall Twomey, Peter A. Flach:
BDL.NET: Bayesian dictionary learning in Infer.NET. MLSP 2016: 1-6 - Yulia Dodonova, Sergey Korolev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov, Mikhail Belyaev:
Classification of structural brain networks based on information divergence of graph spectra. MLSP 2016: 1-6 - Michele Donini, João M. Monteiro, Massimiliano Pontil, John Shawe-Taylor, Janaina Mourão Miranda:
A multimodal multiple kernel learning approach to Alzheimer's disease detection. MLSP 2016: 1-6 - Bogdan Dumitrescu, Paul Irofti:
Low dimensional subspace finding via size-reducing dictionary learning. MLSP 2016: 1-6 - Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski:
Unsupervised learning of Markov-switching stochastic volatility with an application to market data. MLSP 2016: 1-6 - Youngjune Gwon, Miriam Cha, William M. Campbell, H. T. Kung, Charlie K. Dagli:
Sparse-coded net model and applications. MLSP 2016: 1-6 - Marzieh Haghighi, Mohammad Moghadamfalahi, Hooman Nezamfar, Murat Akçakaya, Deniz Erdogmus:
Toward a brain interface for tracking attended auditory sources. MLSP 2016: 1-5 - Ronan Hamon, Valentin Emiya, Cédric Févotte:
Convex nonnegative matrix factorization with missing data. MLSP 2016: 1-6 - Shahram Hosseini, Yannick Deville, Leonardo Tomazeli Duarte, Ahmed Selloum:
Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. MLSP 2016: 1-6 - Che-Wei Huang, Shrikanth S. Narayanan:
Flow of Renyi information in deep neural networks. MLSP 2016: 1-6 - Jeff Irion, Naoki Saito:
Learning sparsity and structure of matrices with multiscale graph basis dictionaries. MLSP 2016: 1-6 - Elena Ivannikova, Anna V. Kononova, Timo Hämäläinen:
Probabilistic group dependence approach for discovering overlapping clusters. MLSP 2016: 1-6 - Mingyuan Jiu, Nelly Pustelnik, Mériam Chèbre, Stefan Janaqi, Philippe Ricoux:
Multiclass SVM with graph path coding regularization for face classification. MLSP 2016: 1-6 - Philip H. Jørgensen, Morten Mørup, Mikkel N. Schmidt, Tue Herlau:
Bayesian latent feature modeling for modeling bipartite networks with overlapping groups. MLSP 2016: 1-6 - Shareef Babu Kalluri, Ashwin Vijayakumar, Deepu Vijayasenan, Rita Singh:
Estimating multiple physical parameters from speech data. MLSP 2016: 1-5 - Oded Kaminsky, Jacob Goldberger:
Combining clusterings with different detail levels. MLSP 2016: 1-6 - Toni Karvonen, Simo Särkkä:
Approximate state-space Gaussian processes via spectral transformation. MLSP 2016: 1-6 - Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Doubly sparse structure in image super resolution. MLSP 2016: 1-6 - Fakheredine Keyrouz:
A novel robotic sound localization and separation using non-causal filtering and Bayesian fusion. MLSP 2016: 1-6 - Hanieh Khalilian, Ivan V. Bajic, Rodney G. Vaughan:
Learning to reproduce a sound field. MLSP 2016: 1-6 - Sahar Khawatmi, Abdelhak M. Zoubir:
Decentralized partitioning over adaptive networks. MLSP 2016: 1-6 - Andreas Kitzig, Edwin Naroska, Gudrun Stockmanns, Reinhard Viga, Anton Grabmaier:
A novel approach to creating artificial training and test data for an HMM based posture recognition system. MLSP 2016: 1-6 - Filip Korzeniowski, Gerhard Widmer:
A fully convolutional deep auditory model for musical chord recognition. MLSP 2016: 1-6 - Steffen Limmer, Slawomir Stanczak:
Towards optimal nonlinearities for sparse recovery using higher-order statistics. MLSP 2016: 1-6 - Paolo Di Lorenzo, Simone Scardapane:
Parallel and distributed training of neural networks via successive convex approximation. MLSP 2016: 1-6 - Carlos A. Loza, José C. Príncipe:
A robust maximum correntropy criterion for dictionary learning. MLSP 2016: 1-6 - David Luengo, Manuel Campos-Taberner, Gustau Camps-Valls:
Latent force models for earth observation time series prediction. MLSP 2016: 1-6 - Yanick X. Lukic, Carlo Vogt, Oliver Durr, Thilo Stadelmann:
Speaker identification and clustering using convolutional neural networks. MLSP 2016: 1-6 - Andrey V. Makarenko:
Deep learning algorithms for signal recognition in long perimeter monitoring distributed fiber optic sensors. MLSP 2016: 1-6