Now showing items 1-2 of 2

    • Image ranking based on clustering 

      Sharma, Monika (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 

      Gupta, Parth (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 ...