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Artificial intelligence / Learning / Support vector machine / Supervised learning / Margin classifier / Binary classification / Active learning / Boosting methods for object categorization / Object categorization from image search / Statistics / Machine learning / Statistical classification


¨ t Augsburg Universita Active Improvement of Hierarchical Object Features under Budget Constraints
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Document Date: 2011-06-17 18:08:22

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City

Augsburg / /

Company

MIT Press / RCA / /

Country

Jordan / /

Currency

USD / /

IndustryTerm

induction algorithm / committee algorithm / selection algorithm / classification algorithm / data mining / graph mining / neural network / structure mining / image processing / image mining / /

Organization

Informatik Institut / MIT / Nicolas Cebron Institut f¨ / /

Person

Morgan Kaufmann / Nicolas Cebron / /

Position

D. J. / Engineer / vol / /

ProgrammingLanguage

T / /

PublishedMedium

Machine Learning / /

Technology

selection algorithm / speech recognition / data mining / drug discovery / machine learning / 1 Object Improvement Algorithm / classification algorithm / neural network / induction algorithm / image processing / Committee algorithm / number Algorithm / Adaptive Active Algorithm / CAD / /

URL

http /

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