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Sparse and discriminative clustering for complex data. An application to cyto...
The main topics of this manuscript are sparsity and discrimination for modeling complex data. In a first part, we focus on the GMM context: we introduce a new family... -
Diversity of neocortical interneurons in the barrel cortex of mouse
GABAergic internereurons are crucial components of the neocortical network, and the functional characterization of the neocortex has been greatly hindered by the lack... -
Méthode de regroupement par graphe de voisinage
National audience -
Clustering : from multiple data to multiple analysis
Data clustering is a major problem encountered mainly in related fields of Artificial Intelligence, Data Analysis and Cognitive Sciences. This topic is concerned by... -
Methodology for the extraction and the analysis of gene regulation networks :...
The cellular response to the DNA damage provoked by irradiation (IR) is relatively well studied, however, many observations show the involvement of the expression of... -
On clustering in multiple criteria decision aid : theory and applications
The problem of clustering has been widely studied in the context of data mining, where by grouping objects that are similar and separating those that are dissimilar we... -
Analysis and Data Mining of Moving Object Trajectories
In this thesis, we explore two problems related to managing and mining moving object trajectories. First, we study the problem of sampling trajectory data streams.... -
Range-independent segmentation of sidescan sonar images with competitive neur...
The sidescan sonar records the energy of an emitted acoustical wave backscattered by the seabed for a large range of grazing angles. The statistical analysis of the...
