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» Tracking in Reinforcement Learning
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76
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ICALT
2009
IEEE
15 years 7 months ago
Indicators for Deducting the Learners' Learning Styles: Case of the Navigation Typology Indicator
Research in individual differences and in particular, learning and cognitive style, has become a basis to consider learner preferences in a web-based educational context. How lear...
Nabila Bousbia, Jean-Marc Labat, Issam Rebaï,...
94
Voted
CVPR
2007
IEEE
16 years 2 months ago
Spatial selection for attentional visual tracking
Long-duration tracking of general targets is quite challenging for computer vision, because in practice target may undergo large uncertainties in its visual appearance and the unc...
Ming Yang, Junsong Yuan, Ying Wu
154
Voted
ECCV
2004
Springer
16 years 2 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...
114
Voted
ECCV
2006
Springer
16 years 2 months ago
Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers
Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...
Rui Li, Ming-Hsuan Yang, Stan Sclaroff, Tai-Peng T...
142
Voted
ICCV
2011
IEEE
14 years 19 days ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr