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» The support vector decomposition machine
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122
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CIRA
2007
IEEE
147views Robotics» more  CIRA 2007»
15 years 10 months ago
Local Online Support Vector Regression for Learning Control
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
Younggeun Choi, Shin-Young Cheong, Nicolas Schweig...
MCS
2007
Springer
15 years 10 months ago
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
Ángel Serrano, Isaac Martín de Diego...
IROS
2006
IEEE
136views Robotics» more  IROS 2006»
15 years 10 months ago
Panoramic View-Based Navigation in Outdoor Environments Based on Support Vector Learning
— This paper describes a panoramic view-based navigation in outdoor environments. We have been developing a two-phase navigation method. In the training phase, the robot acquires...
Hideo Morita, Michael Hild, Jun Miura, Yoshiaki Sh...
122
Voted
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
15 years 10 months ago
Support Vector Path Planning
— This paper describes a unique approach of applying a pattern classification technique to robot path planning. A collision-free path connecting a start and a goal point provide...
Jun Miura
SAC
2005
ACM
15 years 9 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra