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» Discriminative Tracking by Metric Learning
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DAGM
2009
Springer
14 years 3 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
TKDE
2010
168views more  TKDE 2010»
13 years 7 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
ICRA
2010
IEEE
112views Robotics» more  ICRA 2010»
13 years 7 months ago
Psychophysical evaluation of control scheme designed for optimal kinesthetic perception in scaled teleoperation
— This paper focuses on psychophysical evaluation of the control scheme developed to optimize the kinesthetic perception during the scaled teleoperation. The control problem is f...
Hyoung Il Son, T. Bhattacharjee, Hoeryong Jung, Do...
CIKM
2007
Springer
14 years 3 months ago
Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases
We present an evolutionary clustering method which can be applied to multi-relational knowledge bases storing resource annotations expressed in the standard languages for the Sema...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
CVPR
2006
IEEE
14 years 11 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...