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» Adaptive object tracking by learning background context
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CVPR
2006
IEEE
15 years 11 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
EDUTAINMENT
2006
Springer
14 years 11 months ago
The ARTable: An AR-Based Tangible User Interface System
Augmented Reality (AR) and Tangible User Interface (TUI) have been proven to provide intuition to human computer interface with richness of a tactile sense. Recent implementations ...
Youngmin Park, Woontack Woo
HT
2003
ACM
15 years 2 months ago
Is simple sequencing simple adaptive hypermedia?
In this paper, we explore the differences between the Adaptive Hypermedia and IMS Simple Sequencing approaches. Both approaches provide learning material tailored for the learnerâ...
Nor Aniza Abdullah, Hugh C. Davis
ASC
2004
14 years 9 months ago
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
George D. Magoulas, Vassilis P. Plagianakos, Micha...
ICCV
2009
IEEE
14 years 7 months ago
Selection and context for action recognition
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...
Dong Han, Liefeng Bo, Cristian Sminchisescu