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FLAIRS
2003
13 years 11 months ago
Belief Revision and Information Fusion in a Probabilistic Environment
This paper presents new methods for probabilistic belief revision and information fusion. By making use of the principles of optimum entropy (ME-principles), we define a generali...
Gabriele Kern-Isberner, Wilhelm Rödder
NIPS
2004
13 years 11 months ago
Maximum Likelihood Estimation of Intrinsic Dimension
We propose a new method for estimating intrinsic dimension of a dataset derived by applying the principle of maximum likelihood to the distances between close neighbors. We derive...
Elizaveta Levina, Peter J. Bickel
SIP
2003
13 years 11 months ago
A Novel Approach to Neurite Tracing in Fluorescence Microscopy Images
In this paper we propose a new, interactive technique for the segmentation of elongated structures in images. It is based on the so-called live-wire segmentation paradigm and uses...
Erik H. W. Meijering, Mathews Jacob, J.-C. Floyd S...
AMC
2006
89views more  AMC 2006»
13 years 10 months ago
A functional computation model for the duality of two-variable Lambda-Boolean functions
This paper presents a new functional computation model for developing a class of two-variable Lambda-Boolean functions, and describes the properties of the duality principle on th...
Tolga Güyer, Seref Mirasyedioglu
FSS
2008
117views more  FSS 2008»
13 years 10 months ago
(S, N)- and R-implications: A state-of-the-art survey
In this work we give a state-of-the-art review of two of the most established classes of fuzzy implications, viz., (S, N)- and R-implications. Firstly, we discuss their properties...
Michal Baczynski, Balasubramaniam Jayaram