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» Approximation Spaces and Information Granulation
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GIS
2006
ACM
14 years 8 months ago
Object localization based on directional information case of 2D vector data
If you were told that some object A was perfectly (or somewhat, or not at all) in some direction (e.g., west, above-right) of some reference object B, where in space would you loo...
Stelian Coros, JingBo Ni, Pascal Matsakis
IJCNN
2000
IEEE
13 years 11 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
DOLAP
2005
ACM
13 years 9 months ago
Providing probabilistically-bounded approximate answers to non-holistic aggregate range queries in OLAP
A novel framework for providing probabilistically-bounded approximate answers to non-holistic aggregate range queries in OLAP is presented in this paper. Such a framework allows u...
Alfredo Cuzzocrea
JC
2006
97views more  JC 2006»
13 years 7 months ago
Optimal approximation of elliptic problems by linear and nonlinear mappings II
We study the optimal approximation of the solution of an operator equation A(u) = f by four types of mappings: a) linear mappings of rank n; b) n-term approximation with respect t...
Stephan Dahlke, Erich Novak, Winfried Sickel
DAGSTUHL
2004
13 years 8 months ago
Optimal Approximation of Elliptic Problems by Linear and Nonlinear Mappings
We study the optimal approximation of the solution of an operator equation A(u) = f by four types of mappings: a) linear mappings of rank n; b) n-term approximation with respect t...
Erich Novak, Stephan Dahlke, Winfried Sickel