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» Approximation Techniques for Spatial Data
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PODS
1999
ACM
133views Database» more  PODS 1999»
14 years 1 months ago
Processing and Optimization of Multiway Spatial Joins Using R-Trees
One of the most important types of query processing in spatial databases and geographic information systems is the spatial join, an operation that selects, from two relations, all...
Dimitris Papadias, Nikos Mamoulis, Yannis Theodori...
MICRO
1997
IEEE
128views Hardware» more  MICRO 1997»
14 years 1 months ago
Run-Time Spatial Locality Detection and Optimization
As the disparity between processor and main memory performance grows, the number of execution cycles spent waiting for memory accesses to complete also increases. As a result, lat...
Teresa L. Johnson, Matthew C. Merten, Wen-mei W. H...
ICDE
2000
IEEE
183views Database» more  ICDE 2000»
14 years 10 months ago
Accurate Estimation of the Cost of Spatial Selections
Optimizing queries that involve operations on spatial data requires estimating the selectivity and cost of these operations. In this paper, we focus on estimating the cost of spat...
Ashraf Aboulnaga, Jeffrey F. Naughton
ICPR
2010
IEEE
13 years 6 months ago
Lossless ROI Medical Image Watermarking Technique with Enhanced Security and High Payload Embedding
In this article, a new fragile, blind, high payload capacity, ROI (Region of Interest) preserving Medical image watermarking (MIW) technique in the spatial domain for grayscale med...
Malay Kumar Kundu, Sudeb Das
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 11 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh