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» Approximating Edit Distance Efficiently
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198
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POPL
2006
ACM
16 years 23 days ago
A hierarchical model of data locality
In POPL 2002, Petrank and Rawitz showed a universal result-finding optimal data placement is not only NP-hard but also impossible to approximate within a constant factor if P = NP...
Chengliang Zhang, Chen Ding, Mitsunori Ogihara, Yu...
204
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GIS
2005
ACM
16 years 1 months ago
Two ellipse-based pruning methods for group nearest neighbor queries
Group nearest neighbor (GNN) queries are a relatively new type of operations in spatial database applications. Different from a traditional kNN query which specifies a single quer...
Hongga Li, Hua Lu, Bo Huang, Zhiyong Huang
106
Voted
JGTOOLS
2006
111views more  JGTOOLS 2006»
15 years 12 days ago
Stochastic Billboard Clouds for Interactive Foliage Rendering
We render tree foliage levels of detail (LODs) using a new adaptation of billboard clouds. Our contributions are a simple and efficient billboard cloud creation algorithm designed...
J. Dylan Lacewell, David Edwards, Peter Shirley, W...
PAMI
2006
168views more  PAMI 2006»
15 years 11 days ago
Graphical Models and Point Pattern Matching
This paper describes a novel solution to the rigid point pattern matching problem in Euclidean spaces of any dimension. Although we assume rigid motion, jitter is allowed. We pres...
Tibério S. Caetano, Terry Caelli, Dale Schu...
112
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TKDE
2008
162views more  TKDE 2008»
15 years 10 days ago
Continuous k-Means Monitoring over Moving Objects
Given a dataset P, a k-means query returns k points in space (called centers), such that the average squared distance between each point in P and its nearest center is minimized. S...
Zhenjie Zhang, Yin Yang, Anthony K. H. Tung, Dimit...