Adam D. Gilbert

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This paper presents a retrieval pattern-based inter-query learning approach for image retrieval with relevance feedback. The proposed system combines SVM-based low-level learning and semantic correlation-based high-level learning to construct a semantic matrix to store retrieval patterns of a certain number of randomly chosen query sessions. User's(More)
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