307 search results - page 42 / 62 » Significance of Classification Techniques in Prediction of L... |
167
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
176
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ICMCS
2006
IEEE
16 years 5 hour ago
2006
IEEE
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
161
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Many computer vision applications, such as scene analysis and medical image interpretation, are ill-suited for traditional classification where each image can only be associated w...
170
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ICANN
2011
Springer
14 years 9 months ago
2011
Springer
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
176
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AAAI
2006
15 years 7 months ago
2006
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...