5092 search results - page 269 / 1019 » Clustering the Feature Space |
208
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PAA
2007
15 years 6 months ago
2007
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
199
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ICML
1998
IEEE
16 years 8 months ago
1998
IEEE
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
227
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MIR
2010
ACM
16 years 17 days ago
2010
ACM
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
275
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VISUALIZATION
1998
IEEE
15 years 11 months ago
1998
IEEE
We are interested in feature extraction from volume data in terms of coherent surfaces and 3-D space curves. The input can be an inaccurate scalar or vector field, sampled densely...
208
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AAAI
2008
15 years 9 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...