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ECCV
2002
Springer
14 years 9 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
JCB
2008
106views more  JCB 2008»
13 years 7 months ago
Statistics of Random Protein Superpositions: p-Values for Pairwise Structure Alignment
Quantification of statistical significance is essential for the interpretation of protein structural similarity. To address this, a random model for protein structure comparison w...
James O. Wrabl, Nick V. Grishin
GPEM
2008
98views more  GPEM 2008»
13 years 7 months ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg
DCOSS
2006
Springer
13 years 11 months ago
Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence
We consider in-network processing via local message passing. The considered setting involves a set of sensors each of which can communicate with a subset of other sensors. There is...
Onur Savas, Murat Alanyali, Venkatesh Saligrama
PAMI
2008
134views more  PAMI 2008»
13 years 7 months ago
Bittracker - A Bitmap Tracker for Visual Tracking under Very General Conditions
This paper addresses the problem of visual tracking under very general conditions: a possibly nonrigid target whose appearance may drastically change over time, general camera moti...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin