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» Generating from a Deep Structure
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158
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IVC
2008
203views more  IVC 2008»
15 years 3 months ago
Multi-modal tracking using texture changes
We present a method for efficiently generating a representation of a multi-modal posterior probability distribution. The technique combines ideas from RANSAC and particle filterin...
Christopher Kemp, Tom Drummond
155
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JMLR
2010
140views more  JMLR 2010»
14 years 10 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
125
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GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
15 years 9 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
127
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GISCIENCE
2004
Springer
144views GIS» more  GISCIENCE 2004»
15 years 9 months ago
Landmarks in the Communication of Route Directions
We investigate the understanding of landmarks using a model of embedding procedures that sees affordances established on three levels. On the first level there are landmark experie...
Elisabeth Weissensteiner, Stephan Winter
112
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AAAI
2000
15 years 5 months ago
Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning?
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
James A. Bednar, Risto Miikkulainen