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Multiclass Brain-Computer Interface Classification by Riemannian Geometry
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DTI Segmentation by Statistical Surface Evolution
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images (DTI). DTI produces, from a set of diffusion-weighted MR... -
Toward Segmentation of 3D Probability Density Fields by Surface Evolution: Ap...
We propose three original approaches for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in... -
Non-flat clustering whith alpha-divergences
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An information-geometric approach to real-time audio segmentation
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Computational Methods of Information Geometry with Real-Time Applications in ...
This thesis proposes novel computational methods of information geometry with real-time applications in audio signal processing. In this context, we address in... -
Online change detection in exponential families with unknown parameters
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K-centroids based supervised classification of texture images: handling the i...
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K-Centroids-Based Supervised Classi cation of Texture Images using the SIRV m...
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Principal component analysis of measures, with special emphasis on grain-size...
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Information-geometric methods for mixture models
This thesis presents new methods for mixture model learning based on information geometry. We focus on mixtures of exponential families, which encompass a large number...
