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» Models and Methods in Comparative Genomics
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140
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TSMC
2010
14 years 11 months ago
A Unified Tensor Level Set for Image Segmentation
Abstract--This paper presents a new region-based unified tensor level set model for image segmentation. This model introduces a three-order tensor to comprehensively depict feature...
Bin Wang, Xinbo Gao, Dacheng Tao, Xuelong Li
ISBI
2006
IEEE
16 years 5 months ago
Assessing the accuracy of non-rigid registration with and without ground truth
We compare two methods for assessing the performance of groupwise non-rigid registration algorithms. One approach, which has been described previously, utilizes a measure of overl...
Roy Schestowitz, Carole J. Twining, Timothy F. Coo...
BROADNETS
2007
IEEE
15 years 11 months ago
Modeling and generating TCP application workloads
Abstract — In order to perform valid experiments, traffic generators used in network simulators and testbeds require up to date models of traffic as it exists on real network lin...
Félix Hernández-Campos, Kevin Jeffay...
AUSAI
1999
Springer
15 years 9 months ago
Generating Rule Sets from Model Trees
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
Geoffrey Holmes, Mark Hall, Eibe Frank
127
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DAGM
2010
Springer
15 years 5 months ago
Local Regression Based Statistical Model Fitting
Fitting statistical models is a widely employed technique for the segmentation of medical images. While this approach gives impressive results for simple structures, shape models a...
Matthias Amberg, Marcel Lüthi, Thomas Vetter