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ICCV
2011
IEEE
14 years 2 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
IJCAI
1989
15 years 3 months ago
Coping With Uncertainty in Map Learning
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
121
Voted
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 7 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
ICVS
2003
Springer
15 years 7 months ago
Towards Ontology Based Cognitive Vision
This paper details a visual concept ontology driven knowledge acquisition methodology. We propose to use a visual concept ontology to guide experts in the visual description of the...
Nicolas Maillot, Monique Thonnat, Alain Boucher
114
Voted
EVOW
2007
Springer
15 years 8 months ago
Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming
We describe a novel method of evolutionary visual learning that uses generative approach for assessing learner’s ability to recognize image contents. Each learner, implemented as...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...