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» Smooth functions and local extreme values
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TIP
2011
170views more  TIP 2011»
13 years 2 months ago
A New Hybrid Method for Image Approximation Using the Easy Path Wavelet Transform
The Easy Path Wavelet Transform (EPWT) has recently been proposed by one of the authors as a tool for sparse representations of bivariate functions from discrete data, in particul...
Gerlind Plonka, Stefanie Tenorth, Daniela Rosca
VISUALIZATION
2003
IEEE
14 years 22 days ago
Fairing scalar fields by variational modeling of contours
Volume rendering and isosurface extraction from three-dimensional scalar fields are mostly based on piecewise trilinear representations. In regions of high geometric complexity s...
Martin Bertram
CSDA
2007
131views more  CSDA 2007»
13 years 7 months ago
Bivariate density estimation using BV regularisation
In this paper we study the problem of bivariate density estimation. The aim is to find a density function with the smallest number of local extreme values which is adequate with ...
Andreas Obereder, Otmar Scherzer, Arne Kovac
TIP
2002
126views more  TIP 2002»
13 years 7 months ago
Template matching based object recognition with unknown geometric parameters
In this paper, we examine the problem of locating an object in an image when size and rotation are unknown. Previous work has shown that with known geometric parameters, an image r...
Roger M. Dufour, Eric L. Miller, Nikolas P. Galats...
AUSAI
2009
Springer
13 years 11 months ago
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems
Regressions has successfully been incorporated into memetic algorithm (MA) to build surrogate models for the objective or constraint landscape of optimization problems. This helps ...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...