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» A Fast Random Sampling Algorithm for Sparsifying Matrices
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APPROX
2006
Springer
179views Algorithms» more  APPROX 2006»
13 years 11 months ago
Adaptive Sampling and Fast Low-Rank Matrix Approximation
We prove that any real matrix A contains a subset of at most 4k/ + 2k log(k + 1) rows whose span "contains" a matrix of rank at most k with error only (1 + ) times the er...
Amit Deshpande, Santosh Vempala
AAAI
2011
12 years 7 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
CLEF
2010
Springer
13 years 7 months ago
Random Sampling Image to Class Distance for Photo Annotation
Image classification or annotation is proved difficult for the computer algorithms. The Naive-Bayes Nearest Neighbor method is proposed to tackle the problem, and achieved the stat...
Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong...
JCPHY
2011
109views more  JCPHY 2011»
12 years 10 months ago
Fast construction of hierarchical matrix representation from matrix-vector multiplication
We develop a hierarchical matrix construction algorithm using matrixvector multiplications, based on the randomized singular value decomposition of low-rank matrices. The algorith...
Lin Lin, Jianfeng Lu, Lexing Ying
STACS
2005
Springer
14 years 1 months ago
Sampling Sub-problems of Heterogeneous Max-cut Problems and Approximation Algorithms
Abstract Abstract. Recent work in the analysis of randomized approximation algorithms for NP-hard optimization problems has involved approximating the solution to a problem by the ...
Petros Drineas, Ravi Kannan, Michael W. Mahoney