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» Learning semantic object parts for object categorization
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INTERNET
2007
73views more  INTERNET 2007»
15 years 4 months ago
Using Semantic Web Technologies to Analyze Learning Content
that the educator is an abstract role; often many kinds of people are involved, including subject-matter experts, content authors, instructional designers, and teachers. No individ...
Jelena Jovanovic, Dragan Gasevic, Christopher A. B...
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 8 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
AAAI
2007
15 years 6 months ago
KSU Willie in Semantic Vision Challenge
The KSU Willie entry in the Semantic Vision Challenge will use a variety of classifiers, some standard classifiers and some newly developed classifiers, to learn the classificatio...
David Gustafson, Aaron Chavez, Michael Marlen, And...
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
15 years 10 months ago
Imitation learning with generalized task descriptions
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
Clemens Eppner, Jürgen Sturm, Maren Bennewitz...
IJCV
2007
196views more  IJCV 2007»
15 years 4 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman