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Publication search results
found 103 matches
- 2016
- Pablo Ruiz, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos:
Variational Gaussian process for missing label crowdsourcing classification problems. MLSP 2016: 1-6 - Vincent Adam, James Hensman, Maneesh Sahani:
Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference. MLSP 2016: 1-6 - Kamil Adiloglu, Graham Coleman, Hendrik Kayser, Volker Hohmann:
Online estimation of inter-channel phase differences using non-negative matrix factorization. MLSP 2016: 1-6 - Naeem Akl, Ahmed H. Tewfik:
Designing interventions to mitigate cognitive biases in human decisions. MLSP 2016: 1-6 - Kristoffer Jon Albers, Morten Mørup, Mikkel N. Schmidt:
The influence of hyper-parameters in the infinite relational model. MLSP 2016: 1-6 - Pablo A. Alvarado, Dan Stowell:
Gaussian processes for music audio modelling and content analysis. MLSP 2016: 1-6 - Saadullah Amin, Awais Mehmood Kamboh:
A robust approach towards epileptic seizure detection. MLSP 2016: 1-6 - Asger Heidemann Andersen, Esther Schoenmaker, Steven van de Par:
Speech intelligibility prediction as a classification problem. MLSP 2016: 1-6 - Andreas Antoniades, Loukianos Spyrou, Clive Cheong Took, Saeid Sanei:
Deep learning for epileptic intracranial EEG data. MLSP 2016: 1-6 - Aleksandr Y. Aravkin, Kush R. Varshney, Liu Yang:
Dynamic matrix factorization with social influence. MLSP 2016: 1-6 - Eren Babatas, Alper T. Erdogan:
Sparse bounded component analysis. MLSP 2016: 1-6 - Oren Barkan, Amir Averbuch:
Robust mixture models for anomaly detection. MLSP 2016: 1-6 - Oren Barkan, Noam Koenigstein:
ITEM2VEC: Neural item embedding for collaborative filtering. MLSP 2016: 1-6 - Oren Barkan, Jonathan Weill, Amir Averbuch:
Gaussian process regression for out-of-sample extension. MLSP 2016: 1-6 - Alan Joseph Bekker, Irit Opher, Itsik Lapidot, Jacob Goldberger:
Intra-cluster training strategy for deep learning with applications to language identification. MLSP 2016: 1-6 - Fatima Zohra Benhalouche, Yannick Deville, Moussa Sofiane Karoui, Abdelaziz Ouamri:
Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method. MLSP 2016: 1-6 - Tijl De Bie, Jefrey Lijffijt, Cédric Mesnage, Raúl Santos-Rodriguez:
Detecting trends in twitter time series. MLSP 2016: 1-6 - Gergo Bohner, Maneesh Sahani:
Convolutional higher order matching pursuit. MLSP 2016: 1-6 - Fabricio Aparecido Breve, Daniel Carlos Guimarães Pedronette:
Combined unsupervised and semi-supervised learning for data classification. MLSP 2016: 1-6 - David Caicedo, Ashish Pandharipande:
Energy performance prediction of lighting systems. MLSP 2016: 1-6 - Flavio Camarrone, Marc M. Van Hulle:
Fully Bayesian tensor-based regression. MLSP 2016: 1-6 - Thee Chanyaswad, J. Morris Chang, Prateek Mittal, Sun-Yuan Kung:
Discriminant-component eigenfaces for privacy-preserving face recognition. MLSP 2016: 1-6 - Zhe Chen, Scott W. Linderman, Matthew A. Wilson:
Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes. MLSP 2016: 1-6 - Jen-Tzung Chien, You-Cheng Chang:
Bayesian learning for speech dereverberation. MLSP 2016: 1-6 - Jen-Tzung Chien, Pei-Wen Huang:
Variance reduction for optimization in speech recognition. MLSP 2016: 1-6 - Jen-Tzung Chien, Chao-Hsi Lee, Zheng-Hua Tan:
Dirichlet mixture allocation. MLSP 2016: 1-6 - Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet:
Random primal-dual proximal iterations for sparse multiclass SVM. MLSP 2016: 1-6 - Robert Chreiky, Gilles Delmaire, Clément Dorffer, Matthieu Puigt, Gilles Roussel, Antoine Abche:
Robust informed split gradient NMF using αβ-divergence for source apportionment. MLSP 2016: 1-6 - Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation. MLSP 2016: 1-6 - Ryan M. Corey, Andrew C. Singer:
A hypothesis testing approach for real-time multichannel speech separation using time-frequency masks. MLSP 2016: 1-6
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