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» A Geometric Functional for Derivatives Approximation
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SCALESPACE
1999
Springer
13 years 9 months ago
A Geometric Functional for Derivatives Approximation
We develop on estimation method, for the derivative field of an image based on Bayesian approach which is formulated in a geometric way. The Maximum probability configuration of ...
Nir A. Sochen, Robert M. Haralick, Yehoshua Y. Zee...
TIT
2008
123views more  TIT 2008»
13 years 4 months ago
Geometric Upper Bounds on Rates of Variable-Basis Approximation
In this paper, approximation by linear combinations of an increasing number n of computational units with adjustable parameters (such as perceptrons and radial basis functions) is ...
Vera Kurková, Marcello Sanguineti
MANSCI
2006
82views more  MANSCI 2006»
13 years 4 months ago
Pricing American-Style Derivatives with European Call Options
We present a new approach to pricing American-style derivatives that is applicable to any Markovian setting (i.e., not limited to geometric Brownian motion) for which European cal...
Scott B. Laprise, Michael C. Fu, Steven I. Marcus,...
IVC
2006
82views more  IVC 2006»
13 years 4 months ago
Nonlinear optimisation method for image segmentation and noise reduction using geometrical intrinsic properties
This paper considers the optimisation of a nonlinear functional for image segmentation and noise reduction. Equations optimising this functional are derived and employed to detect...
Sasan Mahmoodi, Bayan S. Sharif
TMI
2008
124views more  TMI 2008»
13 years 4 months ago
A Review of Geometric Transformations for Nonrigid Body Registration
Abstract-- This paper provides a comprehensive and quantitative review of spatial transformations models for nonrigid image registration. It explains the theoretical foundation of ...
Mark Holden