6113 search results - page 294 / 1223 » Learning Features for Tracking |
200
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AAAI
2011
14 years 6 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
162
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ICANN
2001
Springer
15 years 11 months ago
2001
Springer
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
204
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SDM
2008
SIAM
15 years 8 months ago
2008
SIAM
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
187
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ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
183
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IJCAI
1997
15 years 8 months ago
1997
Psychological experiments on children's development of spatial knowledge suggest experience at self-locomotion with visual tracking as important factors. Yet, the mechanism u...