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Christian Jutten :
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Jordi Solé i Casals , Anisse Taleb , Christian Jutten Parametric approach to blind deconvolution of nonlinear channels. [Citation Graph (0, 0)][DBLP ] ESANN, 2000, pp:21-26 [Conf ] Massoud Babaie-Zadeh , Christian Jutten Semi-Blind Approaches for Source Separation and Independent component Analysis. [Citation Graph (0, 0)][DBLP ] ESANN, 2006, pp:301-312 [Conf ] Christian Jutten From source separation to ICA: an introduction to the special session. [Citation Graph (0, 0)][DBLP ] ESANN, 1997, pp:- [Conf ] Shahram Hosseini , Christian Jutten Improving neural network estimation in presence of non i.i.d. noise. [Citation Graph (0, 0)][DBLP ] ESANN, 1998, pp:327-332 [Conf ] Anisse Taleb , Christian Jutten Nonlinear source separation: the post-nonlinear mixtures. [Citation Graph (0, 0)][DBLP ] ESANN, 1997, pp:- [Conf ] Vincent Vigneron , Sebastien Lagrange , Christian Jutten Acceptability conditions for BSS problems. [Citation Graph (0, 0)][DBLP ] ESANN, 2003, pp:143-148 [Conf ] Christian Jutten , A. Guérin , Jeanny Hérault Simulation Machine and Integrated Implementation of Neural Networks: a Review of Methods, Problems and Realizations. [Citation Graph (0, 0)][DBLP ] EURASIP Workshop, 1990, pp:244-266 [Conf ] John Aldo Lee , Christian Jutten , Michel Verleysen Non-linear ICA by Using Isometric Dimensionality Reduction. [Citation Graph (0, 0)][DBLP ] ICA, 2004, pp:710-717 [Conf ] Massoud Babaie-Zadeh , Ali Mansour , Christian Jutten , Farrokh Marvasti A Geometric Approach for Separating Several Speech Signals. [Citation Graph (0, 0)][DBLP ] ICA, 2004, pp:798-806 [Conf ] Shahram Hosseini , Rima Guidara , Yannick Deville , Christian Jutten Markovian Blind Image Separation. [Citation Graph (0, 0)][DBLP ] ICA, 2006, pp:106-114 [Conf ] Sebastien Lagrange , Luc Jaulin , Vincent Vigneron , Christian Jutten Analytical Solution of the Blind Source Separation Problem Using Derivatives. [Citation Graph (0, 0)][DBLP ] ICA, 2004, pp:81-88 [Conf ] Anthony Larue , Christian Jutten , Shahram Hosseini Markovian Source Separation in Post-nonlinear Mixtures. [Citation Graph (0, 0)][DBLP ] ICA, 2004, pp:702-709 [Conf ] Samareh Samadi , Massoud Babaie-Zadeh , Christian Jutten , Kambiz Nayebi Blind Source Separation by Adaptive Estimation of Score Function Difference. [Citation Graph (0, 0)][DBLP ] ICA, 2004, pp:9-17 [Conf ] Vincent Vigneron , Christian Jutten Fisher Information in Source Separation Problems. [Citation Graph (0, 0)][DBLP ] ICA, 2004, pp:168-176 [Conf ] Frédéric Vrins , Deniz Erdogmus , Christian Jutten , Michel Verleysen Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). [Citation Graph (0, 0)][DBLP ] ICA, 2006, pp:747-754 [Conf ] Frédéric Vrins , Christian Jutten , Michel Verleysen Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis. [Citation Graph (0, 0)][DBLP ] ICA, 2004, pp:1017-1014 [Conf ] Bertrand Rivet , Vincent Vigneron , Anisoara Paraschiv-Ionescu , Christian Jutten Wavelet De-noising for Blind Source Separation in Noisy Mixtures. [Citation Graph (0, 0)][DBLP ] ICA, 2004, pp:263-270 [Conf ] Anisoara Paraschiv-Ionescu , Christian Jutten , G. Bouvier Neural Network Based Processing for Smart Sensors Arrays. [Citation Graph (0, 0)][DBLP ] ICANN, 1997, pp:565-570 [Conf ] Anisse Taleb , Christian Jutten Entropy Optimization - Application to Blind Source Separation. [Citation Graph (0, 0)][DBLP ] ICANN, 1997, pp:529-534 [Conf ] Anisoara Paraschiv-Ionescu , Christian Jutten , Kamiar Aminian , Bijan Najafi , Philippe Robert Wavelet denoising for highly noisy source separation. [Citation Graph (0, 0)][DBLP ] ISCAS (1), 2002, pp:201-204 [Conf ] Massoud Babaie-Zadeh , Christian Jutten , Kambiz Nayebi Separating Convolutive Mixtures by Mutual Information Minimization. [Citation Graph (0, 0)][DBLP ] IWANN (2), 2001, pp:834-842 [Conf ] Jordi Solé i Casals , Christian Jutten , Dinh-Tuan Pham Initialisation of Nonlinearities for PNL and Wiener Systems Inversion. [Citation Graph (0, 0)][DBLP ] IWANN (2), 2003, pp:225-232 [Conf ] Rachida Chentouf , Christian Jutten Incremental Learning with a Stopping Criterion - Experimental Results. [Citation Graph (0, 0)][DBLP ] IWANN, 1995, pp:519-526 [Conf ] Shahram Hosseini , Christian Jutten Weight Freezing in Constructive Neural Networks: A Novel Approach. [Citation Graph (0, 0)][DBLP ] IWANN (2), 1999, pp:11-20 [Conf ] Shahram Hosseini , Christian Jutten , Sylvie Charbonnier Neural Network Modeling of Ambulatory Systolic Blood Pressure for Hypertension Diagnosis. [Citation Graph (0, 0)][DBLP ] IWANN (2), 2003, pp:599-606 [Conf ] Christian Jutten Learning in Evolutive Neural Architectures: An Ill-Posed Problem? [Citation Graph (0, 0)][DBLP ] IWANN, 1995, pp:361-373 [Conf ] Christian Jutten , Pierre Comon Neural Bayesian Classifier. [Citation Graph (0, 0)][DBLP ] IWANN, 1993, pp:119-124 [Conf ] Christian Jutten , Anne Guérin-Dugué , H. L. Nguyen Thi Adaptive Optimization of Neural Algorithms. [Citation Graph (0, 0)][DBLP ] IWANN, 1991, pp:54-61 [Conf ] Anisse Taleb , Jordi Solé i Casals , Christian Jutten Blind Inversion of Wiener Systems. [Citation Graph (0, 0)][DBLP ] IWANN (2), 1999, pp:655-664 [Conf ] Shahram Hosseini , Christian Jutten Simultaneous Estimation of Signal and Noise in the Constructive Neural Networks. [Citation Graph (0, 0)][DBLP ] NC, 1998, pp:412-418 [Conf ] Christian Jutten , Juha Karhunen Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures. [Citation Graph (0, 0)][DBLP ] Int. J. Neural Syst., 2004, v:14, n:5, pp:267-292 [Journal ] Jordi Solé i Casals , Christian Jutten , Anisse Taleb Parametric approach to blind deconvolution of nonlinear channels. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2002, v:48, n:1-4, pp:339-355 [Journal ] Vincent Vigneron , Ludovic Aubry , Christian Jutten General conditions of stability in blind source separation models and score function selection. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2004, v:62, n:, pp:65-78 [Journal ] Massoud Babaie-Zadeh , Christian Jutten , Ali Mansour Sparse ICA via cluster-wise PCA. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2006, v:69, n:13-15, pp:1458-1466 [Journal ] Samareh Samadi , Massoud Babaie-Zadeh , Christian Jutten Quasi-optimal EASI algorithm based on the Score Function Difference (SFD). [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2006, v:69, n:13-15, pp:1415-1424 [Journal ] David Sodoyer , Laurent Girin , Christian Jutten , Jean-Luc Schwartz Developing an audio-visual speech source separation algorithm. [Citation Graph (0, 0)][DBLP ] Speech Communication, 2004, v:44, n:1-4, pp:113-125 [Journal ] C. Simon , Philippe Loubaton , Christian Jutten Separation of a class of convolutive mixtures: a contrast function approach. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2001, v:81, n:4, pp:883-887 [Journal ] Christian Jutten , Massoud Babaie-Zadeh , Shahram Hosseini Three easy ways for separating nonlinear mixtures? [Citation Graph (0, 0)][DBLP ] Signal Processing, 2004, v:84, n:2, pp:217-229 [Journal ] Massoud Babaie-Zadeh , Christian Jutten A general approach for mutual information minimization and its application to blind source separation. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2005, v:85, n:5, pp:975-995 [Journal ] Sophie Achard , Dinh-Tuan Pham , Christian Jutten Criteria based on mutual information minimization for blind source separation in post nonlinear mixtures. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2005, v:85, n:5, pp:965-974 [Journal ] J. Solé-Casals , Christian Jutten , Dinh-Tuan Pham Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems. [Citation Graph (0, 0)][DBLP ] Signal Processing, 2005, v:85, n:9, pp:1780-1786 [Journal ] Yoan Miche , Patrick Bas , Amaury Lendasse , Christian Jutten , Olli Simula Advantages of Using Feature Selection Techniques on Steganalysis Schemes. [Citation Graph (0, 0)][DBLP ] IWANN, 2007, pp:606-613 [Conf ] A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM. [Citation Graph (, )][DBLP ] Riemannian Geometry Applied to BCI Classification. [Citation Graph (, )][DBLP ] Fast Sparse Representation Based on Smoothed l 0 Norm. [Citation Graph (, )][DBLP ] Fast Block-Sparse Decomposition Based on SL0. [Citation Graph (, )][DBLP ] Non-negative Independent Component Analysis Algorithm Based on 2D Givens Rotations and a Newton Optimization. [Citation Graph (, )][DBLP ] Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm. [Citation Graph (, )][DBLP ] Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. [Citation Graph (, )][DBLP ] Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem. [Citation Graph (, )][DBLP ] An Alternating Minimization Method for Sparse Channel Estimation. [Citation Graph (, )][DBLP ] Adaptive and Non-adaptive ISI Sparse Channel Estimation Based on SL0 and Its Application in ML Sequence-by-Sequence Equalization. [Citation Graph (, )][DBLP ] Blind Source Separation of a Class of Nonlinear Mixtures. [Citation Graph (, )][DBLP ] Using Non-Negative Matrix Factorization for Removing Show-Through. [Citation Graph (, )][DBLP ] Blind Extraction of Intermittent Sources. [Citation Graph (, )][DBLP ] Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method. [Citation Graph (, )][DBLP ] Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings. [Citation Graph (, )][DBLP ] Image Coding and Compression with Sparse 3D Discrete Cosine Transform. [Citation Graph (, )][DBLP ] Image Denoising Using Sparse Representations. [Citation Graph (, )][DBLP ] A first step to convolutive sparse representation. [Citation Graph (, )][DBLP ] Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm. [Citation Graph (, )][DBLP ] Complex-valued sparse representation based on smoothed l 0 norm. [Citation Graph (, )][DBLP ] Sparse Decomposition over non-full-rank dictionaries. [Citation Graph (, )][DBLP ] Robust-SL0 for stable sparse representation in noisy settings. [Citation Graph (, )][DBLP ] Inflating compressed samples: A joint source-channel coding approach for noise-resistant compressed sensing. [Citation Graph (, )][DBLP ] Sparse decomposition of two dimensional signals. [Citation Graph (, )][DBLP ] Bayesian Pursuit algorithm for sparse representation. [Citation Graph (, )][DBLP ] A fast approach for overcomplete sparse decomposition based on smoothed L0 norm [Citation Graph (, )][DBLP ] A First Step to Convolutive Sparse Representation [Citation Graph (, )][DBLP ] Approximate Sparse Decomposition Based on Smoothed L0-Norm [Citation Graph (, )][DBLP ] A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting [Citation Graph (, )][DBLP ] Sparse Recovery using Smoothed $\ell^0$ (SL0): Convergence Analysis [Citation Graph (, )][DBLP ] Bayesian Cramér-Rao Bound for Noisy Non-Blind and Blind Compressed Sensing [Citation Graph (, )][DBLP ] On the stable recovery of the sparsest overcomplete representations in presence of noise [Citation Graph (, )][DBLP ] On the Achievability of Cramér-Rao Bound In Noisy Compressed Sensing [Citation Graph (, )][DBLP ] Bayesian Hypothesis Testing for Sparse Representation [Citation Graph (, )][DBLP ] Search in 0.068secs, Finished in 0.073secs