2295 search results - page 18 / 459 » Learning Overcomplete Representations |
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
The hierarchical non-negative matrix factorization (HNMF) is a multilayer generative network for decomposing strictly positive data into strictly positive activations and base vect...
JMIV
2011
13 years 3 months ago
2011
We propose a deblurring algorithm that explicitly takes into account the sparse characteristics of natural images and does not entail solving a numerically ill-conditioned backwar...
DCC
2005
IEEE
14 years 8 months ago
2005
IEEE
This paper presents a low rate progressive 3D mesh compression scheme for simple genuszero 3D objects. The proposed scheme is based on signal representation using redundant expans...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training data, we also assoc...