Despite the consistent advances in visual features and other Multimedia Information
Retrieval (MIR) techniques, measuring the similarity among multimedia objects is still a
challenging task for an effective retrieval. In this scenario, similarity learning approaches
capable of improving the effectiveness of retrieval in an unsupervised way are
indispensable. A novel method, called Cartesian Product of Ranking References (CPRR), is
proposed with this objective in this paper. The proposed method uses Cartesian product …

Despite the consistent advances in visual features and other Content-Based Image Retrieval
techniques, measuring the similarity among images is still a challenging task for effective
image retrieval. In this scenario, similarity learning approaches capable of improving the
effectiveness of retrieval in an unsupervised way are indispensable. A novel method, called
Cartesian Product of Ranking References (CPRR), is proposed with this objective in this
paper. The proposed method uses Cartesian product operations based on rank information …