6113 search results - page 300 / 1223 » Learning Features for Tracking |
187
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PPSN
1990
Springer
15 years 10 months ago
1990
Springer
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
178
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ICCV
2001
IEEE
16 years 8 months ago
2001
IEEE
Tree-structured probabilistic models admit simple, fast inference. However, they are not well suited to phenomena such as occlusion, where multiple components of an object may dis...
177
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ISBI
2008
IEEE
16 years 7 months ago
2008
IEEE
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
169
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CVPR
2007
IEEE
16 years 28 days ago
2007
IEEE
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
204
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AVSS
2009
IEEE
15 years 10 months ago
2009
IEEE
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...