Vincent Vigneron

Vincent Vigneron, Vicente Zarzoso, Rémi Gribonval, Emmanuel Vincent: Latent variable analysis and signal separation. Signal Processing 92(8): 1765-1766 (2012)

Vincent Vigneron, Sylvie Lelandais: Statistics for Image Processing. Pattern Recognition Letters 31(14): 2191 (2010)

Vincent Vigneron, T. Q. Syed, G. Barlovatz-Meimon, M. Malo, Christophe Montagne, Sylvie Lelandais: Adaptive filtering and hypothesis testing: Application to cancerous cells detection. Pattern Recognition Letters 31(14): 2214-2224 (2010)

Vincent Vigneron, Hsin Chen, Yen-Tai Chen, Hsin-Yi Lai, You-Yin Chen: Decomposition of EEG Signals for Multichannel Neural Activity Analysis in Animal Experiments. LVA/ICA 2010: 474-481

Vincent Vigneron, Vicente Zarzoso, Eric Moreau, Rémi Gribonval, Emmanuel Vincent (Eds.): Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings. Lecture Notes in Computer Science 6365, Springer 2010, isbn 978-3-642-15994-7

Charles Bouveyron, Camille Brunet, Vincent Vigneron: Classification of high-dimensional data for cervical cancer detection. ESANN 2009

Massoud Babaie-Zadeh, Vincent Vigneron, Christian Jutten: Sparse Decomposition over non-full-rank dictionaries. ICASSP 2009: 2953-2956

Vincent Vigneron, Aurélien Hazan: Signal Subspace Separation Based on the Divergence Measure of a Set of Wavelets Coefficients. ICA 2009: 171-178

Sebastien Lagrange, Luc Jaulin, Vincent Vigneron, Christian Jutten: Nonlinear Blind Parameter Estimation. IEEE Trans. Automat. Contr. 53(3): 834-838 (2008)

Vincent Vigneron: Correlation, Independance and Inverse Modeling. ICISP 2008: 570-579

Mohammed Saaidia, Anis Chaari, Sylvie Lelandais, Vincent Vigneron, Mouldi Bedda: Face localization by neural networks trained with Zernike moments and Eigenfaces feature vectors. A comparison. AVSS 2007: 377-382

Vincent Vigneron: Some Applications of Interval Analysis to Statistical Problems. IWANN 2007: 564-579

Riadh Kallel, Marie Cottrell, Vincent Vigneron: Bootstrap for neural model selection. CoRR abs/math/0701145 (2007)

Vincent Vigneron: Entropy-based principle and generalized contingency tables. ESANN 2006: 383-388

Aurélien Hazan, Frédéric Davesne, Vincent Vigneron, Hichem Maaref: Quantify distinguishability in Robotics. IAS 2006: 425-432

Aurélien Hazan, Frédéric Davesne, Vincent Vigneron, Hichem Maaref: Topological characterization of mobile robot behavior. IROS 2006: 4157-4162

Ryadh Hadj Mokhneche, Hichem Maaref, Vincent Vigneron: HYbrid algorithms for the parameter estimate using fault detection, and reaching capacities. ICINCO 2005: 289-293

Vincent Vigneron, Ludovic Aubry, Christian Jutten: General conditions of stability in blind source separation models and score function selection. Neurocomputing 62: 65-78 (2004)

Sebastien Lagrange, Luc Jaulin, Vincent Vigneron, Christian Jutten: Analytical Solution of the Blind Source Separation Problem Using Derivatives. ICA 2004: 81-88

Vincent Vigneron, Christian Jutten: Fisher Information in Source Separation Problems. ICA 2004: 168-176

Bertrand Rivet, Vincent Vigneron, Anisoara Paraschiv-Ionescu, Christian Jutten: Wavelet De-noising for Blind Source Separation in Noisy Mixtures. ICA 2004: 263-270

Vincent Vigneron, Hichem Maaref, Sylvie Lelandais: "Poor Man" Vote with M-ary Classifiers. Application to Iris Recognition. AVBPA 2003: 647-657

Ana Paula Leitão, Sorin Tilie, Sio-Song Ieng, Vincent Vigneron: Detecting and Classifying Road Turn Directions from a Sequence of Images. CAIP 2003: 555-562

Vincent Vigneron, Sebastien Lagrange, Christian Jutten: Acceptability conditions for BSS problems. ESANN 2003: 143-148

Ana Paula Leitão, Sorin Tilie, Morgan Mangeas, Jean-Philippe Tarel, Vincent Vigneron, Sylvie Lelandais-Bonade: Road Singularities Detection and Classification. ESANN 2003: 301-306

Riadh Kallel, Marie Cottrell, Vincent Vigneron: Bootstrap for neural model selection. Neurocomputing 48(1-4): 175-183 (2002)

Vincent Vigneron, Ludovic Aubry: More on stationnary points in Independent Component Analysis. ESANN 2001: 39-44

Riadh Kallel, Marie Cottrell, Vincent Vigneron: Bootstrap for neural model selection. ESANN 2000: 61-68

Vincent Vigneron, Claude Barret: Approximation Techniques for Neuromimetic Calculus. Int. J. Neural Syst. 9(3): 227-234 (1999)

Vincent Vigneron, Claude Barret: Training Linear Neural Network with Early Stopped Learning and Ridge Estimation. SBRN 1998: 14-19