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Variational, Geometric and Statistical Methods for Modeling Brain Anatomy and...
We survey the recent activities of the Odyssée Laboratory in the area of the application of mathematics to the design of models for studying brain anatomy and... -
Angular resolution limit for array processing : estimation and information th...
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The Relation between Granger Causality and Directed Information Theory : A Re...
This article belongs to the Special Issue 'Transfer Entropy' -
compression mechanisms in working memory
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On the Kolmogorov-Chaitin Complexity for short sequences
A drawback to Kolmogorov-Chaitin complexity (K) is that it is uncomputable in general, and that limits its range of applicability. Moreover when strings are short, the... -
On the Algorithmic Nature of the World
We propose a test based on the theory of algorithmic complexity and an experimental evaluation of Levin's universal distribution to identify evidence in support of or... -
Dynamical Reconfiguration Strategy of a Multi Sensor Data Fusion Algorithm Ba...
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Multi-sensor data fusion based on information theory. Application to GNSS pos...
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Definition of a mutual reference shape based on information theory and active...
In this paper, we propose to consider the estimation of a reference shape from a set of different segmentation results using both active contours and information... -
Information-theoretic measures improved by noise in nonlinear systems
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A neuro-computational approach to decision-making and its contextual adjustment
Decision-making is the selection of an alternative according to our inner goals. Perceptual decisions, the selection of an action based on our perceptions, are made... -
Inverse inference in the asymmetric Ising model
Recent experimental techniques in biology made possible the acquisition of overwhelming amounts of data concerning complex biological networks, such as neural... -
Evaluating Trace Aggregation Through Entropy Measures for Optimal Performance...
Large-scale distributed high-performance applications are involving an ever-increasing number of threads to explore the extreme concurrency of today's systems. The... -
Generation of accelerograms compatible with design specifications using infor...
International audience -
Algorithms, words and random texts
In this memoir , I examine different aspects of a simple but ubiquitous computer object: the string or sequence of symbols. The string of characters concept is at the... -
The Application of Co-clustering in Exploratory Data Analysis
Co-clustering is a clustering technique aiming at simultaneously partitioning the rows and the columns of a data matrix. Among the existing approaches, MODL is... -
Information-Theoretic Capacity and Error Exponents of Stationary Point Proces...
This paper studies the Shannon regime for the random displacement of stationary point processes. Let each point of some initial stationary point process in $\R^n$ give... -
BandClust: An Unsupervised Band Reduction Method for Hyperspectral Remote Sen...
International audience -
How to Build the Best Macroscopic Description of your Multi-agent System? App...
The design and debugging of large-scale MAS require abstraction tools in order to work at a macroscopic level of description. Agent aggregation provides such... -
Source coding with side information and uncertain correlation knowledge
In this thesis, we considered the problem of source coding with side information available at the decoder only. More in details, we considered the case where the joint...
