9 search results - page 2 / 2 » Sparse Image Coding Using a 3D Non-Negative Tensor Factoriza... |
JMLR
2010
13 years 3 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
ICONIP
2007
13 years 6 months ago
2007
In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case...
ICONIP
2007
13 years 6 months ago
2007
In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...
JMLR
2008
13 years 4 months ago
2008
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...