17 search results - page 1 / 4 » Sparse representation using nonnegative curds and whey |
95
Voted
CVPR
2010
IEEE
14 years 10 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
14 years 8 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...
103
Voted
ICA
2007
Springer
15 years 4 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
16 years 4 days 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...
129
Voted
ICASSP
2008
IEEE
15 years 4 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...