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TSMC
1998
78views more  TSMC 1998»
14 years 11 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
104
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MIA
2010
170views more  MIA 2010»
14 years 6 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
BMCBI
2005
115views more  BMCBI 2005»
14 years 11 months ago
Statistical distributions of optimal global alignment scores of random protein sequences
Background: The inference of homology from statistically significant sequence similarity is a central issue in sequence alignments. So far the statistical distribution function un...
Hongxia Pang, Jiaowei Tang, Su-Shing Chen, Shiheng...
EOR
2008
200views more  EOR 2008»
14 years 11 months ago
General variable neighborhood search for the continuous optimization
We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...
Nenad Mladenovic, Milan Drazic, Vera Kovacevic-Vuj...
SODA
2004
ACM
124views Algorithms» more  SODA 2004»
15 years 1 months ago
Family trees: an ordered dictionary with optimal congestion, locality, degree, and search time
We consider the problem of storing an ordered dictionary data structure over a distributed set of nodes. In contrast to traditional sequential data structures, distributed data st...
Kevin C. Zatloukal, Nicholas J. A. Harvey