34 search results - page 1 / 7 » High-temperature Expansions for Learning Models of Nonnegati... |
NIPS
2000
13 years 6 months ago
2000
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We describe an alternative to standard nonnegative matrix factorisation (NMF) for nonnegative dictionary learning. NMF with the Kullback-Leibler divergence can be seen as maximisa...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
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...