We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
Similarity search has been widely studied in peer-to-peer environments. In this paper, we propose the Bounded Locality Sensitive Hashing (Bounded LSH) method for similarity search...
Fox Finding Objects of eXperiments is the declarative query language for Moose Modeling Objects Of Scienti c Experiments, an object-oriented data model at the core of a scient...
Conventional research on similarity search focuses on measuring the similarity between objects with the same type. However, in many real-world applications, we need to measure the...
Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie...
We study probabilistic bit-probe schemes for the membership problem. Given a set A of at most n elements from the universe of size m we organize such a structure that queries of t...