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ICASSP
2009
IEEE
14 years 2 months ago
A regularized kernel-based approach to unsupervised audio segmentation
We introduce a regularized kernel-based rule for unsupervised change detection based on a simpler version of the recently proposed kernel Fisher discriminant ratio. Compared to ot...
Zaïd Harchaoui, Felicien Vallet, Alexandre Lu...
ICASSP
2008
IEEE
14 years 1 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
TIP
2002
179views more  TIP 2002»
13 years 7 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICIP
2008
IEEE
14 years 1 months ago
Regularized depth from defocus
In the area of depth estimation from images an interesting approach has been structure recovery from defocus cue. Towards this end, there have been a number of approaches [4, 6]. ...
Vinay P. Namboodiri, Subhasis Chaudhuri, Sunil Had...
CEC
2010
IEEE
13 years 5 months ago
Real-coded differential crisp clustering for MRI brain image segmentation
Abstract-- In this paper, a segmentation technique of multispectral magnetic resonance image of the brain using a new differential evolution based crisp clustering is proposed. Rea...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...