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» On Shift-Invariant Sparse Coding
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SPAA
1998
ACM
14 years 5 days ago
Elimination Forest Guided 2D Sparse LU Factorization
Sparse LU factorization with partial pivoting is important for many scienti c applications and delivering high performance for this problem is di cult on distributed memory machin...
Kai Shen, Xiangmin Jiao, Tao Yang
NECO
2008
114views more  NECO 2008»
13 years 7 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
CORR
2004
Springer
152views Education» more  CORR 2004»
13 years 7 months ago
Non-negative matrix factorization with sparseness constraints
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...
Patrik O. Hoyer
AMC
2006
80views more  AMC 2006»
13 years 8 months ago
Parallel preconditioned conjugate gradient optimization of the Rayleigh quotient for the solution of sparse eigenproblems
A parallel algorithm based on the multidimensional minimization of the Rayleigh quotient is proposed to evaluate the leftmost eigenpairs of the generalized symmetric positive defi...
Luca Bergamaschi, Angeles Martinez, Giorgio Pini
IJON
2008
168views more  IJON 2008»
13 years 8 months ago
Spatial relationship representation for visual object searching
Image representation has been a key issue in vision research for many years. In order to represent various local image patterns or objects effectively, it is important to study th...
Jun Miao, Lijuan Duan, Laiyun Qing, Wen Gao, Xilin...