217 search results - page 10 / 44 » Searching in metric spaces with user-defined and approximate... |
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Similarity search in metric spaces is a general paradigm that can be used in several application fields. It can also be effectively exploited in content-based image retrieval syst...
STOC
1998
ACM
13 years 12 months ago
1998
ACM
We address the problem of designing data structures that allow efficient search for approximate nearest neighbors. More specifically, given a database consisting of a set of vecto...
EDBT
2009
ACM
13 years 11 months ago
2009
ACM
Given a set of n query points in a general metric space, a metricspace skyline (MSS) query asks what are the closest points to all these query points in the database. Here, consid...
IJCNN
2000
IEEE
14 years 9 hour ago
2000
IEEE
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
STOC
2006
ACM
14 years 8 months ago
2006
ACM
We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...