-
New trends in Markov models and related learning to restore data
International audience -
Structured Models for Action Recognition in Real-word Videos
This dissertation introduces novel models to recognize broad action categories --- like "opening a door" and "running" --- in real-world video data such as movies and... -
Introduction to the Issue on Advances in Spoken Dialogue Systems and Mobile I...
International audience -
Dynamic Thread Mapping Based on Machine Learning for Transactional Memory App...
International audience -
Kernel Functions in Takagi-Sugeno-Kang Fuzzy System with Nonsingleton Fuzzy I...
International audience -
A Learning Personalised Information Filter
International audience -
A Combined Approach to Emotion Detection in Suicide Notes
International audience -
Contribution to study, dand implementation of intelligent distributed control...
In this thesis, it concentrated the multi robot team navigating in an unknown environment. In our multi robot team, there is a humanoid robot as a leader and a team of... -
Large-Margin Metric Learning for Constrained Partitioning Problems
International audience -
Automatic learning of structural knowledge from geographic information for up...
International audience -
Contribution to complex visual information processing and autonomous knowledg...
The work accomplished in this thesis concerns development of an autonomous machine cognition system. The proposed solution reposes on the assumption that it is the... -
Constructivist Ambient Intelligent Agent for Smart Environments
International audience -
Non-Local Morphological PDEs and p-Laplacian Equation on Graphs with applicat...
International audience -
Feature selection from gene expression data : molecular signatures for breast...
Important developments in biotechnologies have moved the paradigm of gene expression analysis from a hypothesis-driven to a data-driven approach. In particular, DNA... -
cTuning.org: novel extensible methodology, framework and public repository to...
Designing and optimizing novel computing systems became intolerably complex, ad-hoc, costly and error prone due to an unprecedented number of available tuning choices,... -
Clustering of monoview and multiview data via co-similarity learning
Machine learning consists in conceiving computer programs capable of learning from their environment, or from data. Different kind of learning exist, depending on what... -
Automatic Parameter Adaptation for Multi-object Tracking
International audience -
Minimizing Calibrated Loss using Stochastic Low-Rank Newton Descent for large...
A standard approach for large scale image classification involves high dimensional features and Stochastic Gradient Descent algorithm (SGD) for the minimization of... -
Optimisation convexe pour la cosegmentation
People and most animals have a natural ability to see the world and understand it effortlessly. The apparent simplicity of this task suggests that this ability is, to...
