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» On sparse signal representations
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PAMI
2012
13 years 8 months ago
Face Recognition Using Sparse Approximated Nearest Points between Image Sets
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...
Yiqun Hu, Ajmal S. Mian, Robyn A. Owens
CVPR
2011
IEEE
15 years 3 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
TASLP
2008
82views more  TASLP 2008»
15 years 6 months ago
Union of MDCT Bases for Audio Coding
This paper investigates the use of sparse overcomplete decompositions for audio coding. Audio signals are decomposed over a redundant union of modified discrete cosine transform (M...
Emmanuel Ravelli, Gaël Richard, Laurent Daude...
TSP
2010
15 years 22 days ago
Recursive least squares dictionary learning algorithm
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
Karl Skretting, Kjersti Engan
ICASSP
2010
IEEE
15 years 6 months ago
Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso
In this paper a novel approach for semi-supervised hyperspectral unmixing is presented. First, it is shown that this problem inherently accepts a sparse solution. Then, based on t...
Konstantinos Themelis, Athanasios A. Rontogiannis,...