Fuzzy SVM Ensembles for Relevance Feedback in Image Retrieval

Relevance feedback has been integrated into content-based retrieval systems to overcome the semantic gap problem. Recently, Support Vector Machines (SVMs) have been widely used to learn the users’ semantic query concept from users’ feedback. The feedback is either ‘relevant’ or ‘irrelevant’ which fo...

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Bibliographische Detailangaben

Hauptverfasser:	Rao, Yong, Mundur, Padma, Yesha, Yelena
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Average Precision Computer science control theory systems Data processing. List processing. Character string processing Exact sciences and technology Fuzzy Membership Fuzzy Membership Function Image Retrieval Memory organisation. Data processing Pattern recognition. Digital image processing. Computational geometry Relevance Feedback Software
Online-Zugang:	Volltext
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