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» Learning to Control in Operational Space
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161
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PAMI
2011
14 years 11 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
144
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ICML
2004
IEEE
16 years 4 months ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson
151
Voted
ACE
2004
199views Education» more  ACE 2004»
15 years 5 months ago
VELNET (Virtual Environment for Learning Networking)
The problems of providing a real, physical specialist laboratory to teach computer networking such as, the lack of funding and physical space and the risks and threats to the netw...
Bruce Kneale, Ain Y. De Horta, Ilona Box
131
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PAMI
2000
113views more  PAMI 2000»
15 years 3 months ago
Hierarchical Discriminant Regression
This paper presents a new technique which incrementally builds a hierarchical discriminant regression (IHDR) tree for generation of motion based robot reactions. The robot learned...
Wey-Shiuan Hwang, Juyang Weng
RSS
2007
135views Robotics» more  RSS 2007»
15 years 5 months ago
Learning omnidirectional path following using dimensionality reduction
Abstract— We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner....
J. Zico Kolter, Andrew Y. Ng