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CVPR
2012
IEEE
13 years 8 months ago
A grammar for hierarchical object descriptions in logic programs
Modeling objects using formal grammars has recently regained much attention in computer vision. Probabilistic logic programming, such as Bilattice based Logical Reasoning (BLR), i...
Toufiq Parag, Claus Bahlmann, Vinay D. Shet, Manee...
160
Voted
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
15 years 1 months ago
Communication, convergence, and stochastic stability in self-assembly
Existing work on programmable self assembly has focused on deterministic performance guarantees--stability of desirable states. In particular, for any acyclic target graph a binary...
Michael J. Fox, Jeff S. Shamma
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 12 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
152
Voted
MM
2000
ACM
166views Multimedia» more  MM 2000»
15 years 10 months ago
Automatically extracting highlights for TV Baseball programs
In today’s fast-paced world, while the number of channels of television programming available is increasing rapidly, the time available to watch them remains the same or is decr...
Yong Rui, Anoop Gupta, Alex Acero
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 10 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood