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» Non-negative sparse coding
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CVPR
2011
IEEE
13 years 6 months ago
Online Group-Structured Dictionary Learning
We develop a dictionary learning method which is (i) online, (ii) enables overlapping group structures with (iii) non-convex sparsity-inducing regularization and (iv) handles the ...
Zoltan Szabo, Barnabas Poczos, Andras Lorincz
ICCV
2011
IEEE
12 years 9 months ago
Centralized Sparse Representation for Image Restoration
This paper proposes a novel sparse representation model called centralized sparse representation (CSR) for image restoration tasks. In order for faithful image reconstruction, it ...
Weisheng Dong, Lei Zhang, Guangming Shi
ICCV
2011
IEEE
12 years 9 months ago
Fisher Discrimination Dictionary Learning for Sparse Representation
Sparse representation based classification has led to interesting image recognition results, while the dictionary used for sparse coding plays a key role in it. This paper present...
Meng Yang, Lei Zhang, Xiangchu Feng, David Zhang
IWPC
1999
IEEE
14 years 2 months ago
The SPARAMAT Approach to Automatic Comprehension of Sparse Matrix Computations
Automatic program comprehension is particularly useful when applied to sparse matrix codes, since it allows to abstract e.g. from specific sparse matrix storage formats used in th...
Christoph W. Keßler, Craig Smith
ECCV
2010
Springer
14 years 2 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
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...