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» Two Methods for Validating Brain Tissue Classifiers
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ICTAI
2007
IEEE
14 years 1 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas
MICCAI
2000
Springer
13 years 11 months ago
Intraoperative Segmentation and Nonrigid Registration for Image Guided Therapy
Our goal was to improve image guidance during minimally invasive image guided therapy by developing an intraoperative segmentation and nonrigid registration algorithm. The algorith...
Simon K. Warfield, Arya Nabavi, Torsten Butz, Kema...
ECML
2001
Springer
14 years 3 days ago
Classification on Data with Biased Class Distribution
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Slobodan Vucetic, Zoran Obradovic
CVPR
2008
IEEE
14 years 9 months ago
SMRFI: Shape matching via registration of vector-valued feature images
We perform shape matching by transforming the problem of establishing shape correspondences into an image registration problem. At each vertex on the shape, we calculate a shape f...
Lisa Tang, Ghassan Hamarneh
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
14 years 12 days ago
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
Jean-Baptiste Mouret, Stéphane Doncieux, Be...