6113 search results - page 203 / 1223 » Learning Features for Tracking |
181
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SIGCSE
2000
ACM
15 years 10 months ago
2000
ACM
Being exposed to well-written code is a valuable experience for students -- especially when the code is larger or more complex than they are currently capable of writing. In addit...
188
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ICRA
2008
IEEE
16 years 27 days ago
2008
IEEE
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
160
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PAMI
2007
15 years 6 months ago
2007
We describe a semi-supervised regression algorithm that learns to transform one time series into another time series given examples of the transformation. This algorithm is applie...
167
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ISDA
2009
IEEE
16 years 1 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
172
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ICAPR
2009
Springer
16 years 1 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...