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Indoor location estimation using a wearable camera with application to the mo...
Visual lifelog indexing by content has emerged as a high reward application. Enabled by the recent availability of miniaturized recording devices, the demand for... -
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... -
MULTIPLES MÉTAMODÈLES POUR L'APPROXIMATION ET L'OPTIMISATION DE FONCTIONS NUM...
This dissertation takes place in the framework of design and analysis of computer experiments. More precisely, its main focus is on optimization strategies based on... -
Parsimonious Mahalanobis Kernel for the Classification of High Dimensional Data
International audience -
Possibilistic signal processing: How to handle noise?
International audience -
Kernel methods for phenotyping complex plant architecture
The Quantitative Trait Loci (QTL) mapping of plant architecture is a critical step for understanding the genetic determinism of plant architecture. Previous studies... -
A new theoretical angle to semi-supervised output kernel regression for prote...
International audience -
On the visualization of high-dimensional data
Computing distances in high-dimensional spaces is deemed with the empty space phenomenon, which may harm distance-based algorithms for data visualization. We focus on... -
Regularized output kernel regression for protein-protein interaction predicti...
International audience -
Regularized Output Kernel Regression applied to protein-protein interaction n...
International audience -
Protein-protein interaction network inference using statistical learning
The aim of this thesis is to develop tools for predicting interactions between proteins that can be applied to the human proteins forming a network with the CFTR... -
Comparison bewteen multi-task and single-task oracle risks in kernel ridge re...
Submitted to the Electronic Journal of Statistics -
Hybrid dynamical system Identification: geometry, sparsity, and nonlinearities
In automatic control, obtaining a model is always the cornerstone of the synthesis procedures such as controller design, fault detection or prediction... This thesis... -
Activity representation with motion hierarchies
International audience -
Multi-task statistical learning
This thesis aims at constructing, calibrating and studying multi-task estimators, in a frequentist non-parametric and non-asymptotic framework. We consider here kernel... -
Kernels based tests with non-asymptotic bootstrap approaches for two-sample p...
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A new Adaptive methodology of Global-to-Direct irradiance based on clustering...
International audience -
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... -
A Combined Support Vector Machines Classification Based on Decision Fusion
International audience
