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» A MATLAB-Based Code Generator for Sparse Matrix Computations
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SIGMETRICS
1998
ACM
13 years 10 months ago
Modeling Set Associative Caches Behavior for Irregular Computations
While much work has been devoted to the study of cache behavior during the execution of codes with regular access patterns, little attention has been paid to irregular codes. An i...
Basilio B. Fraguela, Ramon Doallo, Emilio L. Zapat...
JMLR
2010
129views more  JMLR 2010»
13 years 25 days ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
CVPR
2012
IEEE
11 years 8 months ago
Geometry constrained sparse coding for single image super-resolution
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yua...
EMMCVPR
2005
Springer
13 years 11 months ago
Reverse-Convex Programming for Sparse Image Codes
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Matthias Heiler, Christoph Schnörr
CORR
2006
Springer
81views Education» more  CORR 2006»
13 years 6 months ago
Low-density constructions can achieve the Wyner-Ziv and Gelfand-Pinsker bounds
We describe and analyze sparse graphical code constructions for the problems of source coding with decoder side information (the Wyner-Ziv problem), and channel coding with encoder...
Emin Martinian, Martin J. Wainwright