1183 search results - page 100 / 237 » Learning Process Models with Missing Data |
115
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IJIT
2004
15 years 2 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
129
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ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
114
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ICML
2004
IEEE
15 years 7 months ago
2004
IEEE
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
124
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ICIP
2007
IEEE
16 years 3 months ago
2007
IEEE
Different from appearance-based methods, clustering feature points only by their motion coherence is an emerging category of approach to detecting and tracking individuals among c...
109
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ICASSP
2009
IEEE
15 years 8 months ago
2009
IEEE
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...