334 search results - page 16 / 67 » On Shift-Invariant Sparse Coding |
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Palm lines are the most important features for palmprint recognition. They are best considered as typical multiscale features, where the principal lines can be represented at a la...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
DMIN
2009
13 years 5 months ago
2009
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...