405 citations · 2.3k across the 68 of their papers we have counts for
5 papers · 1 filter
Mixture model-based functional discriminant analysis for curve classification
Faicel Chamroukhi, Hervé Glotin
Statistical approaches for Functional Data Analysis concern the paradigm for which the individuals are functions or curves rather than finite dimensional vectors. In this paper, we…
Functional Mixture Discriminant Analysis with hidden process regression for curve classification
Faicel Chamroukhi, Heré Glotin, Céline Rabouy
We present a new mixture model-based discriminant analysis approach for functional data using a specific hidden process regression model. The approach allows for fitting flexible c…
Model-based functional mixture discriminant analysis with hidden process regression for curve classification
Faicel Chamroukhi, Hervé Glotin, Allou Samé
In this paper, we study the modeling and the classification of functional data presenting regime changes over time. We propose a new model-based functional mixture discriminant ana…
Physeter catodon localization by sparse coding
Sébastien Paris, Yann Doh, Hervé Glotin +2
This paper presents a spermwhale' localization architecture using jointly a bag-of-features (BoF) approach and machine learning framework. BoF methods are known, especially in comp…
Sparse Penalty in Deep Belief Networks: Using the Mixed Norm Constraint
Xanadu Halkias, Sebastien Paris, Herve Glotin
Deep Belief Networks (DBN) have been successfully applied on popular machine learning tasks. Specifically, when applied on hand-written digit recognition, DBNs have achieved approx…