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» Representing Uncertainty in RuleML
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IVC
2006
171views more  IVC 2006»
15 years 1 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
16 years 4 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
15 years 7 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»
15 years 7 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
15 years 4 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