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FSS
2008
87views more  FSS 2008»
13 years 7 months ago
Higher order models for fuzzy random variables
A fuzzy random variable is viewed as the imprecise observation of the outcomes in a random experiment. Since randomness and vagueness coexist in the same framework, it seems reaso...
Inés Couso, Luciano Sánchez
EMMCVPR
1999
Springer
13 years 11 months ago
Auxiliary Variables for Markov Random Fields with Higher Order Interactions
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
Robin D. Morris
FSS
2011
93views more  FSS 2011»
13 years 1 months ago
Upper and lower probabilities induced by a fuzzy random variable
We review two existing interpretations of fuzzy random variables. In the first one, the fuzzy random variable is viewed as a linguistic random variable. In the second case, it re...
Inés Couso, Luciano Sánchez
ECCV
2010
Springer
14 years 2 days ago
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...
POPL
1992
ACM
13 years 11 months ago
Abstract Semantics for a Higher-Order Functional Language with Logic Variables
Semantics for a Higher-Order Functional Language with Logic Variables Radha Jagadeesan Imperial College, London, UK SW7 2BZ. Keshav Pingali Cornell University, Ithaca, NY 14853. A...
Radha Jagadeesan, Keshav Pingali