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IJFCS
2002
58views more  IJFCS 2002»
14 years 11 months ago
Vector Algorithms for Approximate String Matching
Vector algorithms allow the computation of an output vector r = r1r2 :::rm given an input vector e = e1e2 :::em in a bounded number of operations, independent of m the length of t...
Anne Bergeron, Sylvie Hamel
CVPR
2010
IEEE
13 years 9 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
SIAMCOMP
2008
137views more  SIAMCOMP 2008»
14 years 11 months ago
Approximate Shortest Paths in Anisotropic Regions
Our goal is to find an approximate shortest path for a point robot moving in a planar subdivision with n vertices. Let 1 be a real number. Distances in each face of this subdivis...
Siu-Wing Cheng, Hyeon-Suk Na, Antoine Vigneron, Ya...
APPROX
2006
Springer
124views Algorithms» more  APPROX 2006»
15 years 3 months ago
Combinatorial Algorithms for Data Migration to Minimize Average Completion Time
The data migration problem is to compute an efficient plan for moving data stored on devices in a network from one configuration to another. It is modeled by a transfer graph, wher...
Rajiv Gandhi, Julián Mestre
UAI
2001
15 years 1 months ago
Maximum Likelihood Bounded Tree-Width Markov Networks
We study the problem of projecting a distribution onto (or finding a maximum likelihood distribution among) Markov networks of bounded tree-width. By casting it as the combinatori...
Nathan Srebro