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DGCI
2003
Springer
14 years 1 months ago
The Generation of N Dimensional Shape Primitives
This paper describes a method to accelerate the generation of shape primitives for N-dimensional images N X . These shape primitives can be used in conditions for topology preservi...
Pieter P. Jonker, Stina Svensson
ESANN
2008
13 years 9 months ago
Robust object segmentation by adaptive metrics in Generalized LVQ
We investigate the effect of several adaptive metrics in the context of figure-ground segregation, using Generalized LVQ to train a classifier for image regions. Extending the Euc...
Alexander Denecke, Heiko Wersing, Jochen J. Steil,...
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 1 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
ISBI
2007
IEEE
14 years 2 months ago
Signal and Anatomical Constraints in Adaptive Filtering of Fmri Data
An adaptive filtering method for fMRI data is presented. The method is related to bilateral filtering, but with a range filter that takes into account local similarities in sig...
Magnus Borga, Joakim Rydell
ICIP
2006
IEEE
14 years 2 months ago
Discontinuity-Adaptive De-Interlacing Scheme Using Markov Random Field Model
— In this paper, a de-interlacing algorithm to find the optimal deinterlaced results given accuracy-limited motion information is proposed. The de-interlacing process is formula...
Min Li, Truong Q. Nguyen