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CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 7 months ago
Robust Matrix Decomposition with Outliers
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
Daniel Hsu, Sham M. Kakade, Tong Zhang
ICIP
2008
IEEE
14 years 9 months ago
Face hallucination VIA sparse coding
In this paper, we address the problem of hallucinating a high resolution face given a low resolution input face. The problem is approached through sparse coding. To exploit the fa...
Jianchao Yang, Hao Tang, Yi Ma, Thomas S. Huang
ICS
2005
Tsinghua U.
14 years 1 months ago
Think globally, search locally
A key step in program optimization is the determination of optimal values for code optimization parameters such as cache tile sizes and loop unrolling factors. One approach, which...
Kamen Yotov, Keshav Pingali, Paul Stodghill
AAAI
2007
13 years 9 months ago
A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis
A mathematical programming formulation is proposed to eliminate irrelevant and redundant features for collaborative computer aided diagnosis which requires to detect multiple clin...
Jinbo Bi, Tao Xiong
CORR
2010
Springer
174views Education» more  CORR 2010»
13 years 7 months ago
Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks
Spectrum sensing, which aims at detecting spectrum holes, is the precondition for the implementation of cognitive radio. Collaborative spectrum sensing among the cognitive radio n...
Jia Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zh...