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» Learning Low-Level Vision
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IROS
2006
IEEE
129views Robotics» more  IROS 2006»
14 years 3 months ago
Acquisition of Multi-Modal Expression of Slip through Pick-Up Experiences
— To realize adaptive and robust manipulation, a robot should have several sensing modalities and coordinate their outputs to achieve the given task based on underlying constrain...
Yasunori Tada, Koh Hosoda
IBPRIA
2007
Springer
14 years 1 months ago
Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the Mean Information
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
Javier Melenchón, Elisa Martínez
IJCNN
2006
IEEE
14 years 3 months ago
Bi-directional Modularity to Learn Visual Servoing Tasks
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
ICONIP
2007
13 years 11 months ago
Policy Learning for Motor Skills
Policy learning which allows autonomous robots to adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. However, ...
Jan Peters, Stefan Schaal
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
13 years 11 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha