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» Closest Pair Queries in Spatial Databases
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CGI
2003
IEEE
13 years 9 months ago
Consistent Visualization and Querying of GIS Databases by a Location-Aware Mobile Agent
Location-aware mobile users need to access, query, and visualize, geographic information in a wide variety of applications including tourism, navigation, environmental management,...
Suresh K. Lodha, Nikolai M. Faaland, Grant Wong, A...
TKDE
2011
168views more  TKDE 2011»
13 years 7 days ago
On Computing Farthest Dominated Locations
—In reality, spatial objects (e.g., hotels) not only have spatial locations but also have quality attributes (e.g., price, star). An object p is said to dominate another one p , ...
Hua Lu, Man Lung Yiu
ICDE
2008
IEEE
140views Database» more  ICDE 2008»
14 years 6 months ago
Top-k Spatial Joins of Probabilistic Objects
Probabilistic data have recently become popular in applications such as scientific and geospatial databases. For images and other spatial datasets, probabilistic values can capture...
Vebjorn Ljosa, Ambuj K. Singh
SIGMOD
1999
ACM
143views Database» more  SIGMOD 1999»
13 years 9 months ago
WALRUS: A Similarity Retrieval Algorithm for Image Databases
Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms etc., and return...
Apostol Natsev, Rajeev Rastogi, Kyuseok Shim
EDBT
2008
ACM
154views Database» more  EDBT 2008»
14 years 5 months ago
Ring-constrained join: deriving fair middleman locations from pointsets via a geometric constraint
We introduce a novel spatial join operator, the ring-constrained join (RCJ). Given two sets P and Q of spatial points, the result of RCJ consists of pairs p, q (where p P, q Q) ...
Man Lung Yiu, Panagiotis Karras, Nikos Mamoulis