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NIPS
2004
15 years 7 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
ICC
2007
IEEE
119views Communications» more  ICC 2007»
16 years 25 days ago
A Convex Quadratic SDMA Grouping Algorithm Based on Spatial Correlation
Abstract— Space Division Multiple Access (SDMA) is a promising solution to improve the spectral efficiency of future mobile radio systems. However, finding the group of MSs tha...
Tarcisio F. Maciel, Anja Klein
GBRPR
2005
Springer
16 years 22 hour ago
Approximating the Problem, not the Solution: An Alternative View of Point Set Matching
This work discusses the issue of approximation in point set matching problems. In general, one may have two classes of approximations when tackling a matching problem: a representa...
Tibério S. Caetano, Terry Caelli
GECCO
2009
Springer
152views Optimization» more  GECCO 2009»
15 years 11 months ago
A data-based coding of candidate strings in the closest string problem
Given a set of strings S of equal lengths over an alphabet Σ, the closest string problem seeks a string over Σ whose maximum Hamming distance to any of the given strings is as s...
Bryant A. Julstrom
SODA
1996
ACM
121views Algorithms» more  SODA 1996»
15 years 7 months ago
Optimal Placement of Convex Polygons to Maximize Point Containment
Given a convex polygon P with m vertices and a set S of n points in the plane, we consider the problem of nding a placement of P that contains the maximum number of points in S. W...
Matthew Dickerson, Daniel Scharstein