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DAGSTUHL
2007
15 years 8 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
ICIP
2000
IEEE
16 years 8 months ago
Statistical Threshold Design for the Two-State Signal-Dependent Rank Order Mean Filter
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
Michael S. Moore, Sanjit K. Mitra
JCST
2006
119views more  JCST 2006»
15 years 6 months ago
Constraint-Based Fuzzy Models for an Environment with Heterogeneous Information-Granules
:- A novel constraint-based fuzzy modeling approach is proposed. Features of the proposed model are enumerated as below. 1)The knowledge base of a constraint-based fuzzy model can ...
K. Robert Lai, Yi-Yuan Chiang
CAISE
2004
Springer
15 years 12 months ago
Analyzing the Scope of a Change in a Business Process Model
Organizations often change their business processes. These changes lead to adjustments in the business process support (BPS) system. The impact of a change in a business process ma...
Pnina Soffer
FLAIRS
2000
15 years 7 months ago
Erosion Modeling in a Raster-Based GIS with Fuzzy Logic
In recent years, fuzzy logic has been applied successfully to a wide range of problems. This paper shows how it can be utilized in the area of spatial reasoning, in particular geo...
Hans W. Guesgen, Jochen Albrecht, Stefi Grundner