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Hyper-Spectral Image Analysis with Partially-Latent Regression and
  Spatial Markov Dependencies
v1v2 (latest)

Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies

30 September 2014
Antoine Deleforge
F. Forbes
Silèye O. Ba
Radu Horaud
ArXiv (abs)PDFHTML

Papers citing "Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies"

3 / 3 papers shown
Title
Non-asymptotic model selection in block-diagonal mixture of polynomial
  experts models
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models
TrungTin Nguyen
Faicel Chamroukhi
Hien Nguyen
F. Forbes
57
9
0
18 Apr 2021
Variational Inference and Learning of Piecewise-linear Dynamical Systems
Variational Inference and Learning of Piecewise-linear Dynamical Systems
Xavier Alameda-Pineda
Vincent Drouard
Radu Horaud
61
12
0
02 Jun 2020
Nonlinear network-based quantitative trait prediction from
  transcriptomic data
Nonlinear network-based quantitative trait prediction from transcriptomic data
Emilie Devijver
M. Gallopin
Émeline Perthame
58
8
0
26 Jan 2017
1