Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Interactive Search by Direct Manipulation of Dissimilarity Space
IEEE Transactions on Multimedia
Surfing on artistic documents with visually assisted tagging
Proceedings of the international conference on Multimedia
Rerum novarum: interactive exploration of illuminated manuscripts
Proceedings of the international conference on Multimedia
Relevance feedback strategies for artistic image collections tagging
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Feature space warping relevance feedback with transductive learning
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
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Relevance feedback has been taken as an essential tool to enhance content-based information retrieval systems by keeping the user in the retrieval loop. Among the fundamental relevance feedback approaches, feature space warping has been proposed as an effective approach for bridging the gap between high-level semantics and the low-level features. By examining the fundamental behavior of the feature space warping, we propose a new approach to harness its strength and resolve its weakness under various data distributions. Experiments on both synthetic data and real data reveal significant improvement from the proposed method.