160 search results - page 11 / 32 » Sparse decompositions in |
105
Voted
ECCV
2010
Springer
15 years 26 days ago
2010
Springer
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
105
Voted
NIPS
2004
14 years 11 months ago
2004
We examine the problem of approximating, in the Frobenius-norm sense, a positive, semidefinite symmetric matrix by a rank-one matrix, with an upper bound on the cardinality of its...
107
click to vote
KDD
2012
ACM
13 years 27 days ago
2012
ACM
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
113
click to vote
SCALESPACE
2007
Springer
15 years 4 months ago
2007
Springer
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...