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Content-based image retrieval (CBIR) has attracted substantial attention during the past few years for its potential applications. To bridge the gap between low level visual features and high level semantic concepts, various relevance feedback (RF) or interactive re-ranking (IR) schemes have been designed to improve the performance of a CBIR system. In this paper, we propose a novel subspace learning...
Support Vector Machine (SVM) based Relevance Feedback (RF) is one of the most popular techniques for Content-Based Image Retrieval (CBIR). However, it is not appropriate to directly use the SVM as a RF scheme since it treats the positive and negative feedbacks equally. Additionally, it does not take into account unlabelled samples although unlabelled samples are very helpful in constructing a good...
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