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» Learning to Control in Operational Space
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139
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CVPR
2006
IEEE
16 years 6 months ago
Learning Semantic Patterns with Discriminant Localized Binary Projections
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
Shuicheng Yan, Tianqiang Yuan, Xiaoou Tang
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 7 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
RAS
2007
138views more  RAS 2007»
15 years 3 months ago
Image-based robot navigation from an image memory
This paper addresses the problem of vision-based navigation and proposes an original control law to perform such navigation. The overall approach is based on an appearance-based r...
Anthony Remazeilles, François Chaumette
IMC
2007
ACM
15 years 5 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...
117
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OSDI
2006
ACM
16 years 4 months ago
Experiences Building PlanetLab
This paper reports our experiences building PlanetLab over the last four years. It identifies the requirements that shaped PlanetLab, explains the design decisions that resulted fr...
Larry L. Peterson, Andy C. Bavier, Marc E. Fiuczyn...