5 search results - page 1 / 1 » Deep Learning of Part-based Representation of Data Using Spa... |
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...
IJON
2008
13 years 4 months ago
2008
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 ...
ICA
2007
Springer
13 years 11 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...
JMLR
2006
13 years 4 months ago
2006
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
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...