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143
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
TASLP
2008
14 years 9 months ago
2008
Abstract--Motivated by potential applications in second-language pedagogy, we present a novel approach to using articulatory information to improve automatic detection of typical p...
103
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KDD
2012
ACM
13 years 5 days ago
2012
ACM
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
BMCBI
2007
14 years 9 months ago
2007
Background: Predicting a protein’s structural class from its amino acid sequence is a fundamental problem in computational biology. Much recent work has focused on developing ne...