The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
The argos image understanding system.
The argos image understanding system.
The fuzzy geometry of image subsets
Pattern Recognition Letters
Representation of Fuzzy Shapes
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Fuzzy color edge extraction by inference rules quantitative study and evaluation of performances
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Boosted human-centric hybrid classifier
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Fuzzy Sets and Systems
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Uncertainty in computer vision can arise at various levels. It can occur in the low level in the raw sensor input, and extends all the way through intermediate and higher levels. Ideally, at any level where decisions are being made on the basis of previous processing steps, a computer vision system must have sufficient flexibility for representation of uncertainty in any of these levels.