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CORR
2011
Springer
214views Education» more  CORR 2011»
12 years 11 months ago
Convex Approaches to Model Wavelet Sparsity Patterns
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright,...
PRL
2010
188views more  PRL 2010»
13 years 6 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
COLT
2010
Springer
13 years 6 months ago
Sparse Recovery in Convex Hulls of Infinite Dictionaries
Let S be an arbitrary measurable space, T R and (X, Y ) be a random couple in S
Vladimir Koltchinskii, Stas Minsker
DCC
2007
IEEE
14 years 7 months ago
Spatial Sparsity Induced Temporal Prediction for Hybrid Video Compression
In this paper we propose a new motion compensated prediction technique that enables successful predictive encoding during fades, blended scenes, temporally decorrelated noise, and...
Gang Hua, Onur G. Guleryuz
ICCS
2001
Springer
14 years 13 days ago
Optimizing Sparse Matrix Computations for Register Reuse in SPARSITY
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
Eun-Jin Im, Katherine A. Yelick