Long-term relevance feedback and feature selection for adaptive content based image suggestion

DOI10.1016/J.PATCOG.2010.06.003zbMath1211.68478OpenAlexW2021783597MaRDI QIDQ609098

Sabri Boutemedjet, Djemel Ziou

Publication date: 30 November 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.06.003

zbMATH Keywords

information filteringmixture modelsfeature selectioncontent-based image suggestionlong-term relevance feedback

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Applications of statistics (62P99)

Related Items (1)

Online Learning of Parameters for Modeling User Preference Based on Bayesian Network

Cites Work

• Scene categorization via contextual visual words
• Image annotation via graph learning
• A hybrid probabilistic framework for content-based image retrieval with feature weighting
• A naive relevance feedback model for content-based image retrieval using multiple similarity measures
• Elements of Information Theory

This page was built for publication: Long-term relevance feedback and feature selection for adaptive content based image suggestion