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Techniques for improving the performance of distributed video coding
Distributed Video Coding (DVC) is a recently proposed paradigm in video communication, which fits well emerging applications such as wireless video surveillance,... -
Dendogram based SVM for multi-class classification
This paper presents a new approach called dendogram based support vector machines (DSVM), to treat multi-class problems. First, the method consists to build a taxonomy... -
Technical report : SVM in Krein spaces
Support vector machines (SVM) and kernel methods have been highly successful in many application areas. However, the requirement that the kernel is symmetric positive... -
Characterization of renal tumours based on Raman spectra classification
International audience -
A new Adaptive methodology of Global-to-Direct irradiance based on clustering...
International audience -
Mixed-norm Regularization for Brain Decoding
International audience -
Automatic human fall detection based on spatio-temporal descriptors : definit...
We propose a supervised approach to detect falls in home environment adapted to location andpoint of view changes. First, we maid publicly available a realistic... -
Detection and counting of Powered Two Wheelers in traffic using a single-plan...
The safety of Powered Two Wheelers (PTWs) is important for public authorities and roadadministrators around the world. Recent official figures show that PTWs are... -
Comparaison entre SVM et RN en reconnaissance de chiffres
IUT Informatique. Rapport de stage. -
A new multi-class SVM based on a uniform convergence result
Colloque avec actes et comité de lecture. internationale. -
Classification of Alzheimer's disease subjects from MRI using hippocampal vis...
Indexing and classification tools for Content Based Visual Information Retrieval (CBVIR) have been penetrating the universe of medical image analysis. They have been... -
Normalisation par modèles locaux et reconnaissance par modèles globaux pour l...
Colloque avec actes et comité de lecture. nationale. -
Nonlinear blind source separation using kernels
Article dans revue scientifique avec comité de lecture.
