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PAMI
1998
85views more  PAMI 1998»
15 years 6 months ago
Shape Evolution With Structural and Topological Changes Using Blending
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
Douglas DeCarlo, Dimitris N. Metaxas
FLAIRS
2000
15 years 7 months ago
Structural Knowledge Discovery Used to Analyze Earthquake Activity
The Subdue structural discovery system is being used as the Data Mining tool to study the "Orizaba Fault" located in Mexico, as part of a research project of the geologi...
Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Co...
JIIS
2006
100views more  JIIS 2006»
15 years 6 months ago
Spatial associative classification: propositional vs structural approach
Spatial associative classification takes advantage of employing association rules for spatial classification purposes. In this work, we investigate spatial associative classificati...
Michelangelo Ceci, Annalisa Appice
WADS
2009
Springer
265views Algorithms» more  WADS 2009»
16 years 27 days ago
A Distribution-Sensitive Dictionary with Low Space Overhead
The time required for a sequence of operations on a data structure is usually measured in terms of the worst possible such sequence. This, however, is often an overestimate of the ...
Prosenjit Bose, John Howat, Pat Morin
ER
2004
Springer
103views Database» more  ER 2004»
15 years 11 months ago
Modeling Default Induction with Conceptual Structures
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
Julien Velcin, Jean-Gabriel Ganascia