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» Robot Localization Using a Computer Vision Sextant
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144
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ECCV
2008
Springer
16 years 4 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
116
Voted
ICANN
2003
Springer
15 years 8 months ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
117
Voted
JIRS
2007
78views more  JIRS 2007»
15 years 2 months ago
Online-learning and Attention-based Approach to Obstacle Avoidance Using a Range Finder
The problem of developing local reactive obstacle-avoidance behaviors by a mobile robot through online real-time learning is considered. The robot operated in an unknown bounded 2...
Shuqing Zeng, Juyang Weng
117
Voted
ACCV
2009
Springer
15 years 9 months ago
Learning Group Activity in Soccer Videos from Local Motion
Abstract. This paper proposes a local motion-based approach for recognizing group activities in soccer videos. Given the SIFT keypoint matches on two successive frames, we propose ...
Yu Kong, Weiming Hu, Xiaoqin Zhang, Hanzi Wang, Yu...
121
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ICPR
2008
IEEE
15 years 9 months ago
Feature Extraction base on Local Maximum Margin Criterion
Maximum Margin Criterion (MMC) based Feature Extraction method is more efficient than LDA for calculating the discriminant vectors since it does not need to calculate the inverse ...
Wankou Yang, Jianguo Wang, Mingwu Ren, Jingyu Yang