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Model structure learning: a support vector machine approach for LPV linear-re...
International audience -
Machine learning for signal processing : applications to Brain Computer Inter...
Brain Computer Interfaces (BCI) require the use of statistical learning methods for signal recognition. In this thesis we propose a general approach using prior... -
Local Features and Kernels for Classification of Texture and Object Categorie...
Recently, methods based on local image features have shown promise for texture and object recognition tasks. This paper presents a large-scale evaluation of an... -
Noyaux texturaux pour les problèmes de classification par SVM en télédétection
Nous détaillons dans ce rapport la construction de deux noyaux texturaux s'utilisant dans les problèmes de classification par «Support Vector Machines» en... -
SALSAS: Sub-linear Active Learning Strategy with Approximate k-NN Search
International audience -
PAC-Bayesian inductive and transductive learning
We present here a PAC-Bayesian point of view on adaptive supervised classification. Using convex analysis, we show how to get local measures of the complexity of the... -
Identification and Characterization of Power Quality Disturbances affecting M...
The recognition of disturbances affecting MV networks is essential to industrials and distribution system operators. The aim of this thesis work is to design a near... -
Supervised Ordering in Rp : Application to Morphological Processing of Hypers...
International audience -
A Stochastic Minimum Spanning Forest approach for spectral-spatial classifica...
ISBN : 978-1-4577-1303-3 -
Point cloud segmentation towards urban ground modeling
ISBN 978-1-4244-3460-2 -
Daily sound recognition using a combination of GMM and SVM for home automation
International audience -
Multi-User Blood Alcohol Content Estimation in a Realistic Simulator using Ar...
International audience -
Efficient large-context dependency parsing and correction with distributional...
This thesis explores ways to improve the accuracy and coverage of efficient statistical dependency parsing. We employ transition-based parsing with models learned... -
Simultaneous data pre-processing and SVM classification model selection based...
Classification is an important task in chemometrics. For several years now, support vector machines (SVMs) have proven to be powerful for infrared spectral data... -
Efficient brain lesion segmentation using multi-modality tissue-based feature...
International audience -
Conceptual Feedback for Semantic Multimedia Indexing
International audience -
Reclassement sémantique pour l'indexation de documents multimédia
International audience -
Clustering based re-scoring for semantic indexing of multimedia documents.
International audience -
Graph kernels based on tree patterns for molecules
Motivated by chemical applications, we revisit and extend a family of positive definite kernels for graphs based on the detection of common subtrees, initially... -
Evaluation of Kernels for multiclass classification of hyperspectral remote s...
Classification of hyperspectral remote sensing data with support vector machines (SVMs) is investigated. SVMs have been introduced recently in the field of remote...
