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214
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SIAMIS
2011
14 years 10 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang
135
Voted
CVPR
2012
IEEE
13 years 6 months ago
Scalable k-NN graph construction for visual descriptors
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, R...
162
Voted
TMC
2012
13 years 6 months ago
A Statistical Mechanics-Based Framework to Analyze Ad Hoc Networks with Random Access
—Characterizing the performance of ad hoc networks is one of the most intricate open challenges; conventional ideas based on information-theoretic techniques and inequalities hav...
Sunil Srinivasa, Martin Haenggi
136
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ICIP
2004
IEEE
16 years 5 months ago
Learning structured dictionaries for image representation
The dictionary approach to signal and image processing has been massively investigated in the last two decades, proving very attractive for a wide range of applications. The effec...
Gianluca Monaci, Pierre Vandergheynst
147
Voted
VLSID
2006
IEEE
240views VLSI» more  VLSID 2006»
16 years 4 months ago
An Efficient and Accurate Logarithmic Multiplier Based on Operand Decomposition
Logarithmic Number Systems (LNS) offer a viable alternative in terms of area, delay and power to binary number systems for multiplication and division operations in signal process...
Venkataraman Mahalingam, N. Ranganathan