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» Indexing the Distance: An Efficient Method to KNN Processing
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ICDAR
2011
IEEE
12 years 7 months ago
Symbol Spotting in Line Drawings through Graph Paths Hashing
—In this paper we propose a symbol spotting technique through hashing the shape descriptors of graph paths (Hamiltonian paths). Complex graphical structures in line drawings can ...
Anjan Dutta, Josep Lladós, Umapada Pal
EDBT
2004
ACM
126views Database» more  EDBT 2004»
14 years 7 months ago
Spatial Queries in the Presence of Obstacles
Despite the existence of obstacles in many database applications, traditional spatial query processing utilizes the Euclidean distance metric assuming that points in space are dire...
Jun Zhang, Dimitris Papadias, Kyriakos Mouratidis,...
SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
13 years 12 months ago
Integration of Spatial Join Algorithms for Processing Multiple Inputs
Several techniques that compute the join between two spatial datasets have been proposed during the last decade. Among these methods, some consider existing indices for the joined...
Nikos Mamoulis, Dimitris Papadias
CIKM
2009
Springer
13 years 11 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
NIPS
2004
13 years 9 months ago
Triangle Fixing Algorithms for the Metric Nearness Problem
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp