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» The Dark Side of Object Learning: Learning Objects
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ICCV
2009
IEEE
15 years 3 days ago
Image Saliency by Isocentric Curvedness and Color
In this paper we propose a novel computational method to infer visual saliency in images. The method is based on the idea that salient objects should have local characteristics tha...
Roberto Valenti
ICRA
2003
IEEE
141views Robotics» more  ICRA 2003»
14 years 2 months ago
Knot planning from observation
—The learning from observation (LFO) paradigm has been widely applied in various types of robot systems. It helps reduce the work of the programmer. However, the applications of ...
Takuma Morita, Jun Takamatsu, Koichi Ogawara, Hiro...
ICCV
2009
IEEE
13 years 7 months ago
SURF Tracking
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
Wei He, Takayoshi Yamashita, Hongtao Lu, Shihong L...
CATE
2004
128views Education» more  CATE 2004»
13 years 10 months ago
A Service-oriented Approach for Pervasive Learning Grid
This investigation proposed a service-oriented approach based on a pervasive learning grid for solving the difficulties associated with sharing learning resources distributed on d...
Ching-Jung Liao, Fan-Chuan Yang
CVPR
2010
IEEE
14 years 5 months ago
On-line Semi-supervised Multiple-Instance Boosting
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
Bernhard Zeisl, Christian Leistner, Amir Saffari, ...