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TSMC
1998
78views more  TSMC 1998»
14 years 9 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
MIA
2010
170views more  MIA 2010»
14 years 4 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 9 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 9 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»
14 years 11 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