We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
The textual content of the Web enriched with the hyperlink structure surrounding it can be a useful source of information for querying and searching. This paper presents a search ...
Query optimization is an integral part of relational database management systems. One important task in query optimization is selectivity estimation, that is, given a query P, we ...
Min Wang, Jeffrey Scott Vitter, Balakrishna R. Iye...
Applications demanding multidimensional index structures for performing efficient similarity queries often involve a large amount of data. The conventional tuple-loading approach t...
Hyun-Jeong Seok, Gang Qian, Qiang Zhu, Alexander R...
We propose a location-based query anonymization technique, LBS (k,T)-anonymization, that ensures anonymity of user's query in a specific time window against what we call know...
Amirreza Masoumzadeh, James Joshi, Hassan A. Karim...