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Gradient-based controllers for timed continuous Petri nets
International audience -
Consistencies for Partially Defined Constraints
Partially defined Constraints can be used to model the incomplete knowledge of a concept or a relation. Instead of only computing with the known part of the... -
API design for machine learning software: experiences from the scikit-learn p...
International audience -
Methodology for assessing consistency between multiple representations for sp...
Nowadays most databases are run independently. An independence that leads to a series of<br />problems: repeated efforts of maintenance and updating, difficulty... -
Machine learning applied to speech language understanding : towards semi-supe...
Two wide research fields named Speech Recognition and Machine Learning meet with the Automatic Speech Language Understanding. One of the main problems in this domain... -
Routing tables building methods for increasing DNS(SEC) resolving platforms e...
International audience -
Methods for automation of vascular lesions detection in computed tomography i...
This thesis presents a framework for the detection and diagnosis of vascular lesions with a special emphasis on coronary heart disease. Coronary heart disease remains... -
Predictive Estimation of Wireless Link Performance from Medium Physical Param...
In wireless networks, the physical medium is the cause of most of the errors and performance drops. Thus, an efficient predictive estimation of wireless networks... -
Sensorimotor approach of space perception for autonomous robotics.
Robots are usually designed following an internal organization of the kind "sense-plan-act" proposed during the early years of research in Artificial Intelligence. It... -
Graphical Model Inference and Learning for Visual Computing
Computational vision and image analysis is a multidisciplinary scientific field that aims to make computers "see" in a way that is comparable to human perception. It is... -
Logical settings for concept learning from incomplete examples in First Order...
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to... -
Distributed Learning in Intentional BDI Multi-Agent Systems.
International audience -
Text categorization based on co-classification learning from multilingual cor...
The patent describes a method and a system for generating classifiers from multilingual corpora including subsets of content-equivalent documents written in different... -
UICO: an ontology-based user interaction context model for automatic task det...
International audience -
Autonomous search
This dataset has no description
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Multivariate Temporal Dictionary Learning for EEG
International audience -
Contextualization of a pedestrian detector : application to the monitoring of...
With the rise of videosurveillance systems comes a logical need for automatic and real-time processes to analyze the huge amount of generated data. Among these tools,... -
Extreme value theory and applications in environment
In the first two chapters, we try to answer two questions that are critical in climatology. The first one is to know whether a change in the behaviour of the... -
A New Generation of Brain-Computer Interface Based on Riemannian Geometry
33 pages, 9 Figures, 17 equations/algorithms. Rapport interne de GIPSA-lab
