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ICPR
2008
IEEE
14 years 10 months ago
NorMaL: Non-compact Markovian Likelihood for change detection
This paper presents a new normalcy model of a scene for change detection using images taken from multiple views and varying illumination conditions. Each coregistered pixel site i...
David B. Cooper, Joseph L. Mundy, Osman Gokhan Sez...
ICML
2006
IEEE
14 years 10 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
EUROGP
2009
Springer
101views Optimization» more  EUROGP 2009»
14 years 1 months ago
Exploring Grammatical Evolution for Horse Gait Optimisation
Physics-based animal animations require data for realistic motion. This data is expensive to acquire through motion capture and inaccurate when estimated by an artist. Grammatical ...
James E. Murphy, Michael O'Neill, Hamish Carr
SLP
1989
105views more  SLP 1989»
13 years 10 months ago
Automatic Ordering of Subgoals - A Machine Learning Approach
This paper describes a learning system, LASSY1, which explores domains represented by Prolog databases, and use its acquired knowledge to increase the efficiency of a Prolog inter...
Shaul Markovitch, Paul D. Scott
WSC
2000
13 years 10 months ago
Quasi-Monte Carlo methods in cash flow testing simulations
What actuaries call cash flow testing is a large-scale simulation pitting a company's current policy obligation against future earnings based on interest rates. While life co...
Michael G. Hilgers