The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
Christian Jutten: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. Christian Jutten
    From source separation to ICA: an introduction to the special session. [Citation Graph (0, 0)][DBLP]
    ESANN, 1997, pp:- [Conf]
  4. 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]
  5. Anisse Taleb, Christian Jutten
    Nonlinear source separation: the post-nonlinear mixtures. [Citation Graph (0, 0)][DBLP]
    ESANN, 1997, pp:- [Conf]
  6. Vincent Vigneron, Sebastien Lagrange, Christian Jutten
    Acceptability conditions for BSS problems. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:143-148 [Conf]
  7. 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]
  8. 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]
  9. 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]
  10. Shahram Hosseini, Rima Guidara, Yannick Deville, Christian Jutten
    Markovian Blind Image Separation. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:106-114 [Conf]
  11. 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]
  12. Anthony Larue, Christian Jutten, Shahram Hosseini
    Markovian Source Separation in Post-nonlinear Mixtures. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:702-709 [Conf]
  13. 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]
  14. Vincent Vigneron, Christian Jutten
    Fisher Information in Source Separation Problems. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:168-176 [Conf]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. Anisse Taleb, Christian Jutten
    Entropy Optimization - Application to Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:529-534 [Conf]
  20. 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]
  21. 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]
  22. 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]
  23. Rachida Chentouf, Christian Jutten
    Incremental Learning with a Stopping Criterion - Experimental Results. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:519-526 [Conf]
  24. 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]
  25. 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]
  26. Christian Jutten
    Learning in Evolutive Neural Architectures: An Ill-Posed Problem? [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:361-373 [Conf]
  27. Christian Jutten, Pierre Comon
    Neural Bayesian Classifier. [Citation Graph (0, 0)][DBLP]
    IWANN, 1993, pp:119-124 [Conf]
  28. 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]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. 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]
  35. 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]
  36. 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]
  37. 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]
  38. 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]
  39. 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]
  40. 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]
  41. 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]
  42. 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]

  43. A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM. [Citation Graph (, )][DBLP]


  44. Riemannian Geometry Applied to BCI Classification. [Citation Graph (, )][DBLP]


  45. Fast Sparse Representation Based on Smoothed l0 Norm. [Citation Graph (, )][DBLP]


  46. Fast Block-Sparse Decomposition Based on SL0. [Citation Graph (, )][DBLP]


  47. Non-negative Independent Component Analysis Algorithm Based on 2D Givens Rotations and a Newton Optimization. [Citation Graph (, )][DBLP]


  48. Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm. [Citation Graph (, )][DBLP]


  49. Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. [Citation Graph (, )][DBLP]


  50. Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem. [Citation Graph (, )][DBLP]


  51. An Alternating Minimization Method for Sparse Channel Estimation. [Citation Graph (, )][DBLP]


  52. Adaptive and Non-adaptive ISI Sparse Channel Estimation Based on SL0 and Its Application in ML Sequence-by-Sequence Equalization. [Citation Graph (, )][DBLP]


  53. Blind Source Separation of a Class of Nonlinear Mixtures. [Citation Graph (, )][DBLP]


  54. Using Non-Negative Matrix Factorization for Removing Show-Through. [Citation Graph (, )][DBLP]


  55. Blind Extraction of Intermittent Sources. [Citation Graph (, )][DBLP]


  56. Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method. [Citation Graph (, )][DBLP]


  57. Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings. [Citation Graph (, )][DBLP]


  58. Image Coding and Compression with Sparse 3D Discrete Cosine Transform. [Citation Graph (, )][DBLP]


  59. Image Denoising Using Sparse Representations. [Citation Graph (, )][DBLP]


  60. A first step to convolutive sparse representation. [Citation Graph (, )][DBLP]


  61. Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm. [Citation Graph (, )][DBLP]


  62. Complex-valued sparse representation based on smoothed l0 norm. [Citation Graph (, )][DBLP]


  63. Sparse Decomposition over non-full-rank dictionaries. [Citation Graph (, )][DBLP]


  64. Robust-SL0 for stable sparse representation in noisy settings. [Citation Graph (, )][DBLP]


  65. Inflating compressed samples: A joint source-channel coding approach for noise-resistant compressed sensing. [Citation Graph (, )][DBLP]


  66. Sparse decomposition of two dimensional signals. [Citation Graph (, )][DBLP]


  67. Bayesian Pursuit algorithm for sparse representation. [Citation Graph (, )][DBLP]


  68. A fast approach for overcomplete sparse decomposition based on smoothed L0 norm [Citation Graph (, )][DBLP]


  69. A First Step to Convolutive Sparse Representation [Citation Graph (, )][DBLP]


  70. Approximate Sparse Decomposition Based on Smoothed L0-Norm [Citation Graph (, )][DBLP]


  71. A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting [Citation Graph (, )][DBLP]


  72. Sparse Recovery using Smoothed $\ell^0$ (SL0): Convergence Analysis [Citation Graph (, )][DBLP]


  73. Bayesian Cramér-Rao Bound for Noisy Non-Blind and Blind Compressed Sensing [Citation Graph (, )][DBLP]


  74. On the stable recovery of the sparsest overcomplete representations in presence of noise [Citation Graph (, )][DBLP]


  75. On the Achievability of Cramér-Rao Bound In Noisy Compressed Sensing [Citation Graph (, )][DBLP]


  76. Bayesian Hypothesis Testing for Sparse Representation [Citation Graph (, )][DBLP]


Search in 0.013secs, Finished in 0.015secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002