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CP
2004
Springer
14 years 26 days ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
CIKM
2009
Springer
14 years 2 days ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An
ECCV
2006
Springer
13 years 11 months ago
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Adrien Bartoli, Søren I. Olsen
MICRO
2008
IEEE
79views Hardware» more  MICRO 2008»
13 years 7 months ago
Strategies for mapping dataflow blocks to distributed hardware
Distributed processors must balance communication and concurrency. When dividing instructions among the processors, key factors are the available concurrency, criticality of depen...
Behnam Robatmili, Katherine E. Coons, Doug Burger,...
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
14 years 8 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...