17 search results - page 1 / 4 » Sparse representation using nonnegative curds and whey |
CVPR
2010
IEEE
13 years 4 months ago
2010
IEEE
It has been of great interest to find sparse and/or nonnegative representations in computer vision literature. In this paper we propose a novel method to such a purpose and refer...
ICMLA
2009
13 years 2 months ago
2009
Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
We introduce an algorithm for a non-negative 3D tensor factorization for the purpose of establishing a local parts feature decomposition from an object class of images. In the pas...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...