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» Incremental Learning for Visual Tracking
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GBRPR
2007
Springer
14 years 1 months ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
14 years 3 months ago
A Real-Time Haptic/Graphic Demonstration of how Error Augmentation can Enhance Learning
– We developed a real-time controller for a 2 degree-of-freedom robotic system using xPC Target. This system was used to investigate how different methods of performance error fe...
Yejun Wei, James L. Patton, Preeti Bajaj, Robert S...
IAT
2010
IEEE
13 years 8 months ago
An Interactive Tool for Constrained Clustering with Human Sampling
Abstract--This paper describes an interactive tool for constrained clustering that helps users to select effective constraints efficiently during the constrained clustering process...
Masayuki Okabe, Seiji Yamada
CCIA
2010
Springer
13 years 5 months ago
Learning Force-Based Robot Skills from Haptic Demonstration
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
Leonel Rozo, Pablo Jiménez, Carme Torras
ICIP
2006
IEEE
14 years 11 months ago
Tracking Motion-Blurred Targets in Video
Many emerging applications require tracking targets in video. Most existing visual tracking methods do not work well when the target is motion-blurred (especially due to fast moti...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...