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HISB
2011
111views more  HISB 2011»
12 years 9 months ago
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths
—Spinal cord analysis is an important problem in the study of various neurological diseases. Current segmentation and analysis methods in clinical use are slow and laborintensive...
Chris McIntosh, Ghassan Hamarneh, Matthew Toom, Ro...
ICCD
2008
IEEE
175views Hardware» more  ICCD 2008»
14 years 7 months ago
On-chip high performance signaling using passive compensation
— To address the performance limitation brought by the scaling issues of on-chip global wires, a new configuration for global wiring using on-chip lossy transmission lines(T-lin...
Yulei Zhang, Ling Zhang, Akira Tsuchiya, Masanori ...
BMCBI
2011
13 years 1 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
ECCV
2006
Springer
14 years 12 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
BMCBI
2007
143views more  BMCBI 2007»
13 years 10 months ago
An adaptive bin framework search method for a beta-sheet protein homopolymer model
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
Alena Shmygelska, Holger H. Hoos