-
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... -
Parsimonious Unsupervised and Semi-Supervised Domain Adaptation with Good Sim...
International audience -
Designing generalisation evaluation function through human-machine dialogue
International audience -
Automatic Sampling of Geographic objects
International audience -
Automatic Knowledge Revision of a Generalisation System
International audience -
Active vision strategies for object recognition
This PhD thesis, conducted in cooperation with ONERA, focuses on active 3D object recognition by an autonomous visual agent. Whereas in passive recognition,... -
Aide à l'évaluation diagnostique de travaux pratiques en électronique numériq...
Dans les domaines où un " savoir-faire " est nécessaire pour l'acquisition des connaissances, il est toujours difficile d'évaluer un apprenant. Nous pouvons prendre... -
Confusion Matrix Stability Bounds for Multiclass Classification
In this paper, we provide new theoretical results on the generalization properties of learning algorithms for multiclass classification problems. The originality of... -
Boosting Nearest Neighbors for the Efficient Estimation of Posteriors
International audience -
Motif Discovery on Promotor Sequences
Transcriptional regulation is the mechanism in the cell that controls when and how genes are expressed into proteins. This document gives an overview over current... -
Analyzing collaborative learning processes automatically: Exploiting the adva...
In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad... -
Analogical Dissimilarity: definition, algorithms and first experiments in mac...
This paper defines the notion of analogical dissimilarity between four objects, with a special focus on dissimilarity between objects structured as sequences. Firstly,... -
Quick Summary
Quick Summary is an innovate implementation of an automatic document summarizer that inputs a document in the English language and evaluates each sentence. The scanner... -
Clustering Trajectories of a Three-Way Longitudinal Dataset
Longitudinal data are widely used information for repeated observations of the same units over a period of time in order to investigate developmental trends across... -
OMaxist Dialectics
International audience -
Learning Methods for Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body... -
Towards production data mining to improve DFM methods in Microelectronics ind...
The DFM (design for manufacturing) methods are used during technology alignment and adoption processes in the semiconductor industry (SI) for manufacturability and... -
Coping with the Computational and Statistical Bipolar Nature of Machine Learning
Machine Learning is known to have its roots in a broad spectrum of fields including Artificial Intelligence, Pattern Recognition, Statistics or Optimisation. From the... -
Bayesian Programming and Learning for Multi-Player Video Games, Application t...
This thesis explores the use of Bayesian models in multi-player video games AI, particularly real-time strategy (RTS) games AI. Video games are an in-between of real...
