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» Handling variations and uncertainties
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IJAR
2006
197views more  IJAR 2006»
13 years 8 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
SAC
2008
ACM
13 years 8 months ago
Spatial vagueness and imprecision in databases
The impossibility of current spatial database systems and GIS to handle spatial vagueness and imprecision has been recognized as an important problem in the spatial database domai...
Alejandro Pauly, Markus Schneider
AAAI
2011
12 years 8 months ago
Abductive Markov Logic for Plan Recognition
Plan recognition is a form of abductive reasoning that involves inferring plans that best explain sets of observed actions. Most existing approaches to plan recognition and other ...
Parag Singla, Raymond J. Mooney
SEMWEB
2007
Springer
14 years 2 months ago
Extending Fuzzy Description Logics with a Possibilistic Layer
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. As a solution we will combine fuzzy Description Logics with a possibilistic layer....
Fernando Bobillo, Miguel Delgado, Juan Góme...
ICIP
2004
IEEE
14 years 10 months ago
Background modeling and subtraction by codebook construction
We present a new fast algorithm for background modeling and subtraction. Sample background values at each pixel are quantized into codebooks which represent a compressed form of b...
Kyungnam Kim, Thanarat H. Chalidabhongse, David Ha...