2925 search results - page 147 / 585 » Input Modeling Using Quantile Statistical Methods |
135
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CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
160
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ICFEM
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. We study the problem of applying statistical methods for approximate model checking of probabilistic systems against properties encoded as PCTL formulas. Such approximate...
121
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NIPS
2007
15 years 3 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
138
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ECCV
2000
Springer
16 years 4 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
150
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PRL
2011
14 years 9 months ago
2011
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...