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Christian Jutten
Researcher at University of Grenoble
Publications - 483
Citations - 17414
Christian Jutten is an academic researcher from University of Grenoble. The author has contributed to research in topics: Blind signal separation & Source separation. The author has an hindex of 54, co-authored 464 publications receiving 15554 citations. Previous affiliations of Christian Jutten include Joseph Fourier University & Grenoble Institute of Technology.
Papers
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Blind separation of sources, Part 1: an adaptive algorithm based on neuromimetic architecture
Christian Jutten,Jeanny Hérault +1 more
TL;DR: A new concept, that of INdependent Components Analysis (INCA), more powerful than the classical Principal components Analysis (in decision tasks) emerges from this work.
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A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed $\ell ^{0}$ Norm
TL;DR: A fast algorithm for overcomplete sparse decomposition, called SL0, is proposed, which tries to directly minimize the l 1 norm.
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OP-ELM: Optimally Pruned Extreme Learning Machine
TL;DR: The proposed OP-ELM methodology performs several orders of magnitude faster than the other algorithms used in this brief, except the original ELM, and is still able to maintain an accuracy that is comparable to the performance of the SVM.
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Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
TL;DR: In this paper, a number of data-driven solutions based on matrix and tensor decompositions are discussed, emphasizing how they account for diversity across the data sets, and a key concept, diversity, is introduced.
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Multiclass Brain–Computer Interface Classification by Riemannian Geometry
TL;DR: A new classification framework for brain-computer interface (BCI) based on motor imagery using spatial covariance matrices as EEG signal descriptors and relying on Riemannian geometry to directly classify these matrices using the topology of the manifold of symmetric and positive definite matrices.