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» Representing Uncertainty in RuleML
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IVC
2006
171views more  IVC 2006»
13 years 8 months ago
Motion detection and tracking using belief indicators for an automatic visual-surveillance system
A motion detection and tracking algorithm for human and car activity surveillance is presented and evaluated by using the Pets'2000 test sequence. Proposed approach uses a te...
Cina Motamed
CVPR
1999
IEEE
14 years 10 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
ECAI
2004
Springer
14 years 1 months ago
Uncertain Linear Constraints
Linear constraints occur naturally in many reasoning problems and the information that they represent is often uncertain. There is a difficulty in applying many AI uncertainty for...
Nic Wilson
IDEAS
2003
IEEE
86views Database» more  IDEAS 2003»
14 years 1 months ago
A Medium Complexity Discrete Model for Uncertain Spatial Data
This paper presents a method for representing uncertainty in spatial data in a database. The model presented requires moderate amounts of storage space. To compute the probability...
Erlend Tøssebro, Mads Nygård
FLAIRS
2007
13 years 10 months ago
Fuzzy Temporal Relations for Fault Management
In this paper we shall introduce an approach that forms a basis for temporal data mining. A relation algebra is applied for the purpose of representing simultaneously dependencies...
Hanna Bauerdick, Björn Gottfried