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» Supervised dimensionality reduction using mixture models
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ICRA
2005
IEEE
178views Robotics» more  ICRA 2005»
15 years 5 months ago
Supervised Multispectral Image Segmentation using Active Contours
— Active contours have been widely used as image segmentation methods. The use of level set theory has provided more flexibility and convenience for the implementation of active...
Cheolha Pedro Lee, Wesley E. Snyder, Cliff Wang
ROMAN
2007
IEEE
191views Robotics» more  ROMAN 2007»
15 years 6 months ago
Learning and Recognition of Object Manipulation Actions Using Linear and Nonlinear Dimensionality Reduction
— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...
Isabel Serrano Vicente, Danica Kragic, Jan-Olof Ek...
RSS
2007
135views Robotics» more  RSS 2007»
15 years 1 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
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
15 years 5 months ago
SLAM using Incremental Probabilistic PCA and Dimensionality Reduction
— The recent progress in robot mapping (or SLAM) algorithms has focused on estimating either point features (such as landmarks) or grid-based representations. Both of these repre...
Emma Brunskill, Nicholas Roy
TNN
2008
129views more  TNN 2008»
14 years 11 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens