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ICPR
2002
IEEE
14 years 9 months ago
Metric-Based Shape Retrieval in Large Databases
This paper examines the problem of database organization and retrieval based on computing metric pairwise distances. A low-dimensional Euclidean approximation of a high-dimensiona...
Thomas B. Sebastian, Benjamin B. Kimia
STOC
2002
ACM
140views Algorithms» more  STOC 2002»
14 years 9 months ago
Finding nearest neighbors in growth-restricted metrics
Most research on nearest neighbor algorithms in the literature has been focused on the Euclidean case. In many practical search problems however, the underlying metric is non-Eucl...
David R. Karger, Matthias Ruhl
ESA
2008
Springer
126views Algorithms» more  ESA 2008»
13 years 10 months ago
Space-Time Tradeoffs for Proximity Searching in Doubling Spaces
Abstract. We consider approximate nearest neighbor searching in metric spaces of constant doubling dimension. More formally, we are given a set S of n points and an error bound &g...
Sunil Arya, David M. Mount, Antoine Vigneron, Jian...
FOCS
2008
IEEE
13 years 8 months ago
Hardness of Nearest Neighbor under L-infinity
Recent years have seen a significant increase in our understanding of high-dimensional nearest neighbor search (NNS) for distances like the 1 and 2 norms. By contrast, our underst...
Alexandr Andoni, Dorian Croitoru, Mihai Patrascu
EDBT
2009
ACM
172views Database» more  EDBT 2009»
14 years 1 months ago
Continuous visible nearest neighbor queries
In this paper, we identify and solve a new type of spatial queries, called continuous visible nearest neighbor (CVNN) search. Given a data set P, an obstacle set O, and a query li...
Yunjun Gao, Baihua Zheng, Wang-Chien Lee, Gencai C...