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Équipe

Communication and Information in Complex System
Responsable(s) d'équipe : Steeve ZOZOR, Nicolas LE BIHAN


Dernières publications de l'équipe

Using the Proximal Gradient and the Accelerated Proximal Gradient as a Canonical Polyadic tensor decomposition Algorithms in difficult situations

Marouane Nazih, Khalid Minaoui, Pierre Comon. Using the Proximal Gradient and the Accelerated Proximal Gradient as a Canonical Polyadic tensor decomposition Algorithms in difficult situations. Signal Processing, Elsevier, 2020, 171. ⟨hal-02433477⟩

Reliable chiral recognition with an optoelectronic nose

Pierre Maho, Cyril Herrier, Thierry Livache, Guillaume Rolland, Pierre Comon, et al.. Reliable chiral recognition with an optoelectronic nose. Biosensors and Bioelectronics, Elsevier, 2020, ⟨10.1016/j.bios.2020.112183⟩. ⟨hal-02534216v2⟩

Monte Carlo integration of non-differentiable functions on $[0,1]^iota$, $iota=1,dots,d$ , using a single determinantal point pattern defined on $[0,1]^d$

Jean-François Coeurjolly, Adrien Mazoyer, Pierre-Olivier Amblard. Monte Carlo integration of non-differentiable functions on $[0,1]^iota$, $iota=1,dots,d$ , using a single determinantal point pattern defined on $[0,1]^d$. 2020. ⟨hal-02508401⟩

Hyperspectral Image Classification Based on Mathematical Morphology and Tensor DecompositionClassification d'images hyperspectrales basée sur la morphologie mathématique et la décomposition tensorielle

Mohamad Jouni, Mauro Dalla Mura, Pierre Comon. Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition. Mathematical Morphology - Theory and Applications, De Gruyter 2020, 4 (1), pp.1-30. ⟨10.1515/mathm-2020-0001⟩. ⟨hal-02401272v3⟩

Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms

Konstantin Usevich, Jianze Li, Pierre Comon. Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms. 2020. ⟨hal-01998900v3⟩

Real-time gas recognition and gas unmixing in a robot application

Pierre Maho, Cyril Herrier, Thierry Livache, Pierre Comon, Simon Barthelme. Real-time gas recognition and gas unmixing in a robot application. 2020. ⟨hal-02448737⟩

Approximating Spectral Clustering via Sampling: a Review

Nicolas Tremblay, Andreas Loukas. Approximating Spectral Clustering via Sampling: a Review. Sampling Techniques for Supervised or Unsupervised Tasks, 2020. ⟨hal-02468312⟩

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

Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie. Hyperspectral super-resolution with coupled Tucker approximation: Recoverability and SVD-based algorithms. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2020, 68, pp.931-946. ⟨10.1109/TSP.2020.2965305⟩. ⟨hal-01911969v4⟩

Performance bounds for coupled CP model in the framework of hyperspectral super-resolution

Clémence Prevost, Konstantin Usevich, Pierre Comon, Martin Haardt, David Brie. Performance bounds for coupled CP model in the framework of hyperspectral super-resolution. 8th Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019, Dec 2019, Le Gosier, Guadeloupe, France. ⟨hal-02303132v2⟩

Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs

Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay. Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02429525⟩


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