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» Adaptive Manifold Learning
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CVPR
2007
IEEE
16 years 8 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
ICCV
2003
IEEE
16 years 8 months ago
Constraining Human Body Tracking
Our paper addresses the problem of enforcing constraints in human body tracking. A projection technique is derived to impose kinematic constraints on independent multi-body motion...
David Demirdjian, Teresa Ko, Trevor Darrell
181
Voted
ICIP
2006
IEEE
16 years 7 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
16 years 15 days ago
Task maps in humanoid robot manipulation
— This paper presents an integrative approach to solve the coupled problem of reaching and grasping an object in a cluttered environment with a humanoid robot. While finding an ...
Michael Gienger, Marc Toussaint, Christian Goerick
SIGGRAPH
1999
ACM
15 years 10 months ago
Voice Puppetry
We introduce a method for predicting a control signal from another related signal, and apply it to voice puppetry: Generating full facial animation from expressive information in ...
Matthew Brand