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IVC
2008
101views more  IVC 2008»
15 years 2 months ago
Occlusion analysis: Learning and utilising depth maps in object tracking
Complex scenes such as underground stations and malls are composed of static occlusion structures such as walls, entrances, columns, turnstiles and barriers. Unless this occlusion...
Darrel Greenhill, John-Paul Renno, James Orwell, G...
JASIS
2008
94views more  JASIS 2008»
15 years 2 months ago
Eye tracking and online search: Lessons learned and challenges ahead
esult abstracts viewed and those clicked on, and whether gender, search task, or search engine influence these behaviors. In addition, we discuss a key challenge that arose in all ...
Lori Lorigo, Maya Haridasan, Hrönn Brynjarsd&...
133
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ICCV
2003
IEEE
16 years 4 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
DAGM
2010
Springer
15 years 25 days ago
Catheter Tracking: Filter-Based vs. Learning-Based
Abstract. Atrial fibrillation is the most common sustained arrhythmia. One important treatment option is radio-frequency catheter ablation (RFCA) of the pulmonary veins attached t...
Alexander Brost, Andreas Wimmer, Rui Liao, Joachim...
CORR
2010
Springer
76views Education» more  CORR 2010»
14 years 9 months ago
Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors
A problem posed by Freund is how to efficiently track a small pool of experts out of a much larger set. This problem was solved when Bousquet and Warmuth introduced their mixing p...
Wouter M. Koolen, Tim van Erven