Pierre COMON
Directeur de Recherche CNRS
Equipe Communication and Information in Complex Systems
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : pierre.comon@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1112
Tél.33 (0)4 76 82 62 71
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Coupled tensor low-rank multilinear approximation for hyperspectral super-resolution

Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie. Coupled tensor low-rank multilinear approximation for hyperspectral super-resolution. IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP 2019), May 2019, Brighton, United Kingdom. 2019. 〈hal-02025385〉

Olfactive robot for gas discrimination over several months using a new optoelectronic nose

Pierre Maho, Carlos Dolcinotti, Thierry Livache, Cyril Herrier, Anton Andreev, et al.. Olfactive robot for gas discrimination over several months using a new optoelectronic nose. 2019. 〈hal-02067954〉

Classification of Hyperspectral Images as Tensors Using Nonnegative CP Decomposition

Mohamad Jouni, Mauro Dalla Mura, Pierre Comon. Classification of Hyperspectral Images as Tensors Using Nonnegative CP Decomposition. 2019. 〈hal-01998121〉

Hyperspectral Image Classification Using Tensor CP Decomposition

Mohamad Jouni, Mauro Dalla Mura, Pierre Comon. Hyperspectral Image Classification Using Tensor CP Decomposition. 2019. 〈hal-01998220〉

On convergence of matrix and tensor approximate diagonalization algorithms by unitary transformations

Konstantin Usevich, Jianze Li, Pierre Comon. On convergence of matrix and tensor approximate diagonalization algorithms by unitary transformations. BIOSIS. 2019. 〈hal-01998900〉

On the minimal ranks of matrix pencils and the existence of a best approximate block-term tensor decomposition

José Henrique De Morais Goulart, Pierre Comon. On the minimal ranks of matrix pencils and the existence of a best approximate block-term tensor decomposition. Linear Algebra and its Applications, Elsevier, 2019, 561, pp.161 - 186. 〈10.1016/j.laa.2018.09.031〉. 〈hal-01909603〉

Alternating group lasso for block-term tensor decomposition with application to ECG source separation

José Henrique De Morais Goulart, Pedro Marinho R. de Oliveira, Rodrigo Cabral Farias, Vicente Zarzoso, Pierre Comon. Alternating group lasso for block-term tensor decomposition with application to ECG source separation. 2018. 〈hal-01899469〉

Hyperspectral super-resolution with coupled Tucker approximation: Identifiability and SVD-based algorithms

Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie. Hyperspectral super-resolution with coupled Tucker approximation: Identifiability and SVD-based algorithms. BioSiS. 2018. 〈hal-01911969v2〉

Coherence Constrained Alternating Least Squares

Rodrigo Cabral Farias, José Henrique De Morais Goulart, Pierre Comon. Coherence Constrained Alternating Least Squares. 26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Rome, Italy. 〈hal-01693946v2〉

Non-linear source separation under the Langmuir model for chemical sensors

Pierre Maho, Simon Barthelme, Pierre Comon. Non-linear source separation under the Langmuir model for chemical sensors. 10th IEEE Workshop on Sensor Array and Multichannel Signal Processing (SAM 2018), Jul 2018, Sheffield, United Kingdom. IEEE, pp.380-384, 2018, 〈10.1109/SAM.2018.8448636〉. 〈hal-01802358〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal