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ICASSP
2009
IEEE
15 years 10 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
ICA
2010
Springer
15 years 6 months ago
Double Sparsity: Towards Blind Estimation of Multiple Channels
We propose a framework for blind multiple filter estimation from convolutive mixtures, exploiting the time-domain sparsity of the mixing filters and the disjointness of the sources...
Prasad Sudhakar, Simon Arberet, Rémi Gribon...
ICASSP
2011
IEEE
14 years 10 months ago
Blind separation of multiple binary sources from one nonlinear mixture
We propose a new method for the blind separation of multiple binary signals from a single general nonlinear mixture. In addition to the usual independence assumption on the input ...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
CVPR
2006
IEEE
16 years 8 months ago
Automatic Discovery of Action Taxonomies from Multiple Views
We present a new method for segmenting actions into primitives and classifying them into a hierarchy of action classes. Our scheme learns action classes in an unsupervised manner ...
Daniel Weinland, Rémi Ronfard, Edmond Boyer
ISBI
2004
IEEE
16 years 7 months ago
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
Allon Shahar, Hayit Greenspan