52 search results - page 1 / 11 » Learning Nonlinear Overcomplete Representations for Efficien... |
NIPS
1997
13 years 6 months ago
1997
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
NIPS
1998
13 years 6 months ago
1998
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
ESANN
2008
13 years 6 months ago
2008
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
NIPS
2004
13 years 6 months ago
2004
It has been suggested that the primary goal of the sensory system is to represent input in such a way as to reduce the high degree of redundancy. Given a noisy neural representati...