1282 search results - page 15 / 257 » Algorithms for Large, Sparse Network Alignment Problems |
156
Voted
JMLR
2006
15 years 2 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
109
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SODA
2012
ACM
13 years 4 months ago
2012
ACM
We consider the sparse Fourier transform problem: given a complex vector x of length n, and a parameter k, estimate the k largest (in magnitude) coefficients of the Fourier transf...
152
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
In this paper, we introduce a novel algorithm to solve
global shape registration problems. We use gray-scale “images”
to represent source shapes, and propose a novel twocompo...
147
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CORR
2011
Springer
14 years 8 months ago
2011
Springer
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
116
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ICNSC
2008
IEEE
15 years 8 months ago
2008
IEEE
— This paper presents an approach to the multiple sequence alignment (MSA) problem by applying genetic algorithms with a reserve selection mechanism. MSA is one of the most funda...