7623 search results - page 207 / 1525 » Algorithmic Features of Eclat |
133
Voted
ICCV
2003
IEEE
16 years 7 months ago
2003
IEEE
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
164
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KDD
2002
ACM
16 years 5 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
138
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CIKM
2008
Springer
15 years 7 months ago
2008
Springer
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
124
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IJCAI
2007
15 years 6 months ago
2007
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
146
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MM
2010
ACM
15 years 5 months ago
2010
ACM
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...