6 search results - page 1 / 2 » Efficient Highly Over-Complete Sparse Coding using a Mixture... |
ECCV
2010
Springer
13 years 8 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 5 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...
NIPS
2004
13 years 5 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...
PAMI
2011
12 years 11 months ago
2011
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
CIMAGING
2009
13 years 5 months ago
2009
Space-varying convolution often arises in the modeling or restoration of images captured by optical imaging systems. For example, in applications such as microscopy or photography...