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Image ranking based on clustering
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted
by feature similarities with respect to the query. However, images with high feature similarities to the query may be very ...
Learning to rank: using Bayesian networks
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
Ranking is one of the key components of an Information Retrieval system. Recently
supervised learning is involved for learning the ranking function and is called 'Learning to Rank' collectively. In this study we present ...