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» Data Separation by Sparse Representations
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CVPR
2010
IEEE
14 years 3 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
IJCNN
2007
IEEE
14 years 2 months ago
Sparse Distributed Representations for Words with Thresholded Independent Component Analysis
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...
Jaakko J. Väyrynen, Lasse Lindqvist, Timo Hon...
ISBI
2008
IEEE
14 years 8 months ago
Deconvolution of confocal microscopy images using proximal iteration and sparse representations
We propose a deconvolution algorithm for images blurred and degraded by a Poisson noise. The algorithm uses a fast proximal backward-forward splitting iteration. This iteration mi...
François-Xavier Dupé, Mohamed-Jalal ...
INTERSPEECH
2010
13 years 2 months ago
Sparse component analysis for speech recognition in multi-speaker environment
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
Afsaneh Asaei, Hervé Bourlard, Philip N. Ga...
ICASSP
2011
IEEE
12 years 11 months ago
Transient acoustic signal classification using joint sparse representation
In this paper, we present a novel joint sparse representation based method for acoustic signal classification with multiple measurements. The proposed method exploits the correla...
Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huan...