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CVPR
2007
IEEE
16 years 5 months ago
Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming
In this paper we introduce two new methods for solving binary quadratic problems. While spectral relaxation methods have been the workhorse subroutine for a wide variety of comput...
Carl Olsson, Anders P. Eriksson, Fredrik Kahl
SIAMIS
2011
14 years 10 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
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CVPR
2010
IEEE
15 years 12 months ago
Fast Image Alignment in the Fourier Domain
In this paper we propose a framework for gradient descent image alignment in the Fourier domain. Specifically, we propose an extension to the classical Lucas & Kanade (LK) a...
Ahmed Ashraf, Simon Lucey, Tsuhan Chen
CIKM
2010
Springer
15 years 1 months ago
Fast dimension reduction for document classification based on imprecise spectrum analysis
This paper proposes an algorithm called Imprecise Spectrum Analysis (ISA) to carry out fast dimension reduction for document classification. ISA is designed based on the one-sided...
Hu Guan, Bin Xiao, Jingyu Zhou, Minyi Guo, Tao Yan...
IPPS
2007
IEEE
15 years 10 months ago
An Energy-Efficient Framework for Large-Scale Parallel Storage Systems
Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, sto...
Ziliang Zong, Matt Briggs, Nick O'Connor, Xiao Qin