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» Query Processing for Distance Metrics
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ADBIS
2003
Springer
95views Database» more  ADBIS 2003»
14 years 3 months ago
Distance Join Queries of Multiple Inputs in Spatial Databases
Let a tuple of n objects obeying a query graph (QG) be called the n-tuple. The “Ddistance-value” of this n-tuple is the value of a linear function of distances of the n objects...
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
ICIP
2009
IEEE
14 years 9 months ago
Efficient Distance Estimation For Fitting Implicit Quadric Surfaces
This paper presents a novel approach for estimating the shortest Euclidean distance from a given point to the corresponding implicit quadric fitting surface. It first estimates t...
Angel D. Sappa, Mohammad Rouhani
TKDE
2011
168views more  TKDE 2011»
13 years 4 months 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
IJCNN
2000
IEEE
14 years 2 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
ICIP
2002
IEEE
14 years 11 months ago
A comparative analysis of two distance measures in color image databases
Euclidean distance measure has been used in comparing feature vectors of images, while cosine angle distance measure is used in document retrieval. In this paper, we theoretically...
Shamik Sural, Gang Qian, Sakti Pramanik