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» Support Vector classifiers for Land Cover Classification
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79
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KDD
2008
ACM
167views Data Mining» more  KDD 2008»
15 years 10 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
BMCBI
2010
114views more  BMCBI 2010»
14 years 10 months ago
Detection of gene orthology from gene co-expression and protein interaction networks
Background: Ortholog detection methods present a powerful approach for finding genes that participate in similar biological processes across different organisms, extending our und...
Fadi Towfic, Susan VanderPlas, Casey A. Oliver, Ol...
BIOINFORMATICS
2006
129views more  BIOINFORMATICS 2006»
14 years 10 months ago
Predicting methylation status of CpG islands in the human brain
Motivation: Over 50% of human genes contain CpG islands in their 5'-regions. Methylation patterns of CpG islands are involved in tissue-specific gene expression and regulatio...
Fang Fang, Shicai Fan, Xuegong Zhang, Michael Q. Z...
92
Voted
BMCBI
2010
182views more  BMCBI 2010»
14 years 10 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
MICCAI
2000
Springer
15 years 1 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...