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ORCID26th MLSP 2016: Vietri sul Mare, Salerno, Italy
- Francesco A. N. Palmieri, Aurelio Uncini, Kostas I. Diamantaras, Jan Larsen:
26th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016, Vietri sul Mare, Salerno, Italy, September 13-16, 2016. IEEE 2016, ISBN 978-1-5090-0746-2 - Che-Wei Huang, Shrikanth S. Narayanan:
Flow of Renyi information in deep neural networks. 1-6 - Marzieh Haghighi, Mohammad Moghadamfalahi, Hooman Nezamfar, Murat Akçakaya, Deniz Erdogmus:
Toward a brain interface for tracking attended auditory sources. 1-5 - Yinan Yu, Konstantinos I. Diamantaras
, Tomas McKelvey, Sun-Yuan Kung:
Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation. 1-6 - Toni Karvonen, Simo Särkkä:
Approximate state-space Gaussian processes via spectral transformation. 1-6 - Jianguo Yu, Konstantin Markov, Tomoko Matsui:
Articulatory and spectrum features integration using generalized distillation framework. 1-6 - Asger Heidemann Andersen, Esther Schoenmaker, Steven van de Par:
Speech intelligibility prediction as a classification problem. 1-6 - Tijl De Bie, Jefrey Lijffijt, Cédric Mesnage, Raúl Santos-Rodriguez:
Detecting trends in twitter time series. 1-6 - Yanick X. Lukic, Carlo Vogt, Oliver Durr, Thilo Stadelmann:
Speaker identification and clustering using convolutional neural networks. 1-6 - Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
A neural network based algorithm for speaker localization in a multi-room environment. 1-6 - Romain Serizel, Slim Essid, Gaël Richard:
Mini-batch stochastic approaches for accelerated multiplicative updates in nonnegative matrix factorisation with beta-divergence. 1-6 - Mingyuan Jiu, Nelly Pustelnik, Mériam Chèbre, Stefan Janaqi, Philippe Ricoux:
Multiclass SVM with graph path coding regularization for face classification. 1-6 - Valentina Vadori, Enrico Grisan, Michele Rossi:
Biomedical signal compression with time- and subject-adaptive dictionary for wearable devices. 1-6 - Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski:
Unsupervised learning of Markov-switching stochastic volatility with an application to market data. 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. 1-6 - Steven Van Vaerenbergh, Jesus Fernandez-Bes, Victor Elvira:
On the relationship between online Gaussian process regression and kernel least mean squares algorithms. 1-6 - Andreas Antoniades, Loukianos Spyrou, Clive Cheong Took, Saeid Sanei:
Deep learning for epileptic intracranial EEG data. 1-6 - Saadullah Amin, Awais Mehmood Kamboh:
A robust approach towards epileptic seizure detection. 1-6 - Hang Yu, Justin Dauwels:
Variational bayes learning of time-varying graphical models. 1-6 - Ryan M. Corey, Andrew C. Singer:
A hypothesis testing approach for real-time multichannel speech separation using time-frequency masks. 1-6 - Youngjune Gwon, Miriam Cha, William M. Campbell, H. T. Kung, Charlie K. Dagli:
Sparse-coded net model and applications. 1-6 - Juho Piironen, Aki Vehtari:
Projection predictive model selection for Gaussian processes. 1-6 - Steffen Limmer, Slawomir Stanczak:
Towards optimal nonlinearities for sparse recovery using higher-order statistics. 1-6 - Konstantinos I. Diamantaras, Sun-Yuan Kung:
Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition. 1-6 - Oren Barkan, Jonathan Weill, Amir Averbuch:
Gaussian process regression for out-of-sample extension. 1-6 - Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet:
Random primal-dual proximal iterations for sparse multiclass SVM. 1-6 - Irene Martín-Morató, Maximo Cobos, Francesc J. Ferri:
A case study on feature sensitivity for audio event classification using support vector machines. 1-6 - Pavel Merinov, Mikhail Belyaev, Egor Krivov:
Filter bank extension for neural network-based motor imagery classification. 1-6 - Pablo A. Alvarado, Dan Stowell:
Gaussian processes for music audio modelling and content analysis. 1-6 - Matthew R. O'Shaughnessy, Mark A. Davenport:
Localizing users and items from paired comparisons. 1-6 - Naeem Akl, Ahmed H. Tewfik:
Designing interventions to mitigate cognitive biases in human decisions. 1-6 - Hanieh Khalilian, Ivan V. Bajic, Rodney G. Vaughan:
Learning to reproduce a sound field. 1-6 - Adam M. Sykulski, Donald B. Percival:
Exact simulation of noncircular or improper complex-valued stationary Gaussian processes using circulant embedding. 1-6 - Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Image restoration with locally selected class-adapted models. 1-6 - Francesca Ortolani, Danilo Comminiello, Aurelio Uncini:
The widely linear block quaternion least mean square algorithm for fast computation in 3D audio systems. 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. 1-6 - David Luengo, Manuel Campos-Taberner, Gustau Camps-Valls:
Latent force models for earth observation time series prediction. 1-6 - Philip H. Jørgensen, Morten Mørup, Mikkel N. Schmidt, Tue Herlau:
Bayesian latent feature modeling for modeling bipartite networks with overlapping groups. 1-6 - Aleksandr Y. Aravkin, Kush R. Varshney, Liu Yang:
Dynamic matrix factorization with social influence. 1-6 - Gergo Bohner, Maneesh Sahani:
Convolutional higher order matching pursuit. 1-6 - Maneesh Sahani, Gergo Bohner, Arne Meyer:
Score-matching estimators for continuous-time point-process regression models. 1-5 - Deqing Wang, Fengyu Cong, Qibin Zhao, Petri Toiviainen, Asoke K. Nandi, Minna Huotilainen, Tapani Ristaniemi, Andrzej Cichocki:
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. 1-6 - Majd Saleh, Ahmad Karfoul, Laurent Albera, Amar Kachenoura, Hanna Becker, Isabelle Merlet:
Proximal gradient-based step for brain distributed epileptic source imaging after tensor decomposition preprocessing. 1-6 - Tom Diethe, Niall Twomey, Peter A. Flach:
BDL.NET: Bayesian dictionary learning in Infer.NET. 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. 1-6 - Rita Singh:
Mereological algebras as mechanisms for reasoning about sounds. 1-6 - Maryam Najafian, Saeid Safavi, John H. L. Hansen, Martin J. Russell:
Improving speech recognition using limited accent diverse British English training data with deep neural networks. 1-6 - Vincent Adam, James Hensman, Maneesh Sahani:
Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference. 1-6 - Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov:
Learning sparse two-level boolean rules. 1-6 - Fakheredine Keyrouz:
A novel robotic sound localization and separation using non-causal filtering and Bayesian fusion. 1-6 - David Caicedo, Ashish Pandharipande:
Energy performance prediction of lighting systems. 1-6 - Bogdan Vlasenko, Björn W. Schuller, Andreas Wendemuth:
Tendencies regarding the effect of emotional intensity in inter corpus phoneme-level speech emotion modelling. 1-6 - Flavio Camarrone, Marc M. Van Hulle:
Fully Bayesian tensor-based regression. 1-6 - Barbara Pisano, Barbara Cannas, Giulia Milioli, Augusto Montisci, Fabio Pisano, Monica Puligheddu, Giuliana Sias, Alessandra Fanni:
Autosomal dominant nocturnal frontal lobe epilepsy seizure characterization through wavelet transform of eeg records and self organizing maps. 1-6 - Vivek Tyagi:
Hybrid context dependent CD-DNN-HMM Keyword Spotting (KWS) in speech conversations. 1-6 - Andrey V. Makarenko:
Deep learning algorithms for signal recognition in long perimeter monitoring distributed fiber optic sensors. 1-6 - Jen-Tzung Chien, Pei-Wen Huang:
Variance reduction for optimization in speech recognition. 1-6 - Jen-Tzung Chien, You-Cheng Chang:
Bayesian learning for speech dereverberation. 1-6 - Jen-Tzung Chien, Chao-Hsi Lee, Zheng-Hua Tan:
Dirichlet mixture allocation. 1-6 - Zhe Chen, Scott W. Linderman, Matthew A. Wilson:
Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes. 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. 1-6 - Koichi Shirahata, Yasumoto Tomita, Atsushi Ike:
Memory reduction method for deep neural network training. 1-6 - Amichai Painsky, Saharon Rosset, Meir Feder:
Binary independent component analysis: Theory, bounds and algorithms. 1-6 - Thee Chanyaswad, J. Morris Chang, Prateek Mittal, Sun-Yuan Kung:
Discriminant-component eigenfaces for privacy-preserving face recognition. 1-6 - Ryan Turner:
A model explanation system. 1-6 - Shareef Babu Kalluri, Ashwin Vijayakumar, Deepu Vijayasenan, Rita Singh:
Estimating multiple physical parameters from speech data. 1-5 - Manuel Montoya-Catala, Ricardo F. Alvear-Sandoval, Aníbal R. Figueiras-Vidal:
Experiments in combining boosting and deep stacked networks. 1-6 - Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin:
Bird detection in audio: A survey and a challenge. 1-6 - Daphney-Stavroula Zois, Maxim Raginsky:
Active object detection on graphs via locally informative trees. 1-6 - Fabricio Aparecido Breve, Daniel Carlos Guimarães Pedronette:
Combined unsupervised and semi-supervised learning for data classification. 1-6 - Kun Yuan, Bicheng Ying, Stefan Vlaski, Ali H. Sayed:
Stochastic gradient descent with finite samples sizes. 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. 1-6 - Sahar Khawatmi, Abdelhak M. Zoubir:
Decentralized partitioning over adaptive networks. 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. 1-6 - Elena Ivannikova, Anna V. Kononova, Timo Hämäläinen:
Probabilistic group dependence approach for discovering overlapping clusters. 1-6 - Gianluigi Pillonetto, Aleksandr Y. Aravkin:
A stable spline convex approach to hybrid systems identification. 1-6 - Joachim Thiemann, Jörg Lücke, Steven van de Par:
Speaker tracking for hearing aids. 1-6 - Oren Barkan, Amir Averbuch:
Robust mixture models for anomaly detection. 1-6 - Oren Barkan, Noam Koenigstein:
ITEM2VEC: Neural item embedding for collaborative filtering. 1-6 - Martino Uccellari, Francesca Facchini, Matteo Sola, Emilio Sirignano, Giorgio Matteo Vitetta, Andrea Barbieri, Stefano Tondelli:
On the use of support vector machines for the prediction of propagation losses in smart metering systems. 1-6 - Oded Kaminsky, Jacob Goldberger:
Combining clusterings with different detail levels. 1-6 - Muhammad Muneeb Saleem, John H. L. Hansen:
A discriminative unsupervised method for speaker recognition using deep learning. 1-5 - Shahram Hosseini, Yannick Deville, Leonardo Tomazeli Duarte, Ahmed Selloum:
Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. 1-6 - Pooria Pakrooh, Louis L. Scharf, Mahmood R. Azimi-Sadjadi:
Underwater target classification using a pose-invariant matched manifold classifier. 1-5 - Jeff Irion, Naoki Saito:
Learning sparsity and structure of matrices with multiscale graph basis dictionaries. 1-6 - Kamil Adiloglu, Graham Coleman, Hendrik Kayser, Volker Hohmann:
Online estimation of inter-channel phase differences using non-negative matrix factorization. 1-6 - Paolo Di Lorenzo, Simone Scardapane:
Parallel and distributed training of neural networks via successive convex approximation. 1-6 - Filip Korzeniowski, Gerhard Widmer:
A fully convolutional deep auditory model for musical chord recognition. 1-6 - Alan Joseph Bekker, Irit Opher, Itsik Lapidot, Jacob Goldberger:
Intra-cluster training strategy for deep learning with applications to language identification. 1-6 - Ahmed Selloum, Shahram Hosseini, Yannick Deville, Thierry Contini:
Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra. 1-6 - Carlos A. Loza, José C. Príncipe:
A robust maximum correntropy criterion for dictionary learning. 1-6 - Daniele Salvati, Carlo Drioli, Gian Luca Foresti:
On the use of machine learning in microphone array beamforming for far-field sound source localization. 1-6 - Bogdan Dumitrescu, Paul Irofti:
Low dimensional subspace finding via size-reducing dictionary learning. 1-6 - Santosh Tirunagari, Simon C. Bull, Norman Poh:
Automatic classification of irregularly sampled time series with unequal lengths: A case study on estimated glomerular filtration rate. 1-6 - Toshiyuki Kato, Hideitsu Hino, Noboru Murata:
Doubly sparse structure in image super resolution. 1-6 - Jakub Prüher, Simo Särkkä:
On the use of gradient information in Gaussian process quadratures. 1-6 - Ugo Marchand, Geoffroy Peeters:
Scale and shift invariant time/frequency representation using auditory statistics: Application to rhythm description. 1-6 - Stavros Ntalampiras:
Automatic analysis of audiostreams in the concept drift environment. 1-6 - Eren Babatas, Alper T. Erdogan:
Sparse bounded component analysis. 1-6 - Fei Zheng, Stéphane Derrode, Wojciech Pieczynski:
Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing. 1-6 - Kristoffer Jon Albers, Morten Mørup, Mikkel N. Schmidt:
The influence of hyper-parameters in the infinite relational model. 1-6 - Pablo Ruiz, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos:
Variational Gaussian process for missing label crowdsourcing classification problems. 1-6 - Ronan Hamon, Valentin Emiya, Cédric Févotte:
Convex nonnegative matrix factorization with missing data. 1-6
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last updated on 2026-02-10 22:36 CET by the dblp team
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