1547 search results - page 212 / 310 » Learning a Classification Model for Segmentation |
177
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PAMI
2012
13 years 7 months ago
2012
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
217
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MICCAI
2000
Springer
15 years 8 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
157
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WAPCV
2007
Springer
15 years 11 months ago
2007
Springer
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
175
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JIB
2006
15 years 4 months ago
2006
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
146
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...