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133
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SODA
2012
ACM
13 years 6 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...
331
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ICDE
1999
IEEE
16 years 5 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
135
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STACS
2010
Springer
15 years 11 months ago
2010
Springer
In this paper we consider the problem of testing whether two finite groups are isomorphic. Whereas the case where both groups are abelian is well understood and can be solved effi...
131
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ICRA
2008
IEEE
15 years 11 months ago
2008
IEEE
Abstract— We report our algorithmic development of the pframe problem that addresses the need of coordinating a set of p networked robotic pan-tilt-zoom cameras for n, (n > p)...
132
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ISCAS
2005
IEEE
15 years 10 months ago
2005
IEEE
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...