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» Disease Modeling Using Evolved Discriminate Function
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CVPR
2007
IEEE
14 years 12 months ago
Eigenboosting: Combining Discriminative and Generative Information
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
Helmut Grabner, Peter M. Roth, Horst Bischof
TMI
2008
154views more  TMI 2008»
13 years 9 months ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
DEXAW
2005
IEEE
170views Database» more  DEXAW 2005»
14 years 3 months ago
Functional Annotation of Genes through Statistical Analysis of Biomedical Articles
One of the most elaborate and important tasks in biology is the functional annotation of genes. Biologists have developed standardized and structured vocabularies, called bio-onto...
Theodosios Theodosiou, Lefteris Angelis, Athena Va...
BMCBI
2010
135views more  BMCBI 2010»
13 years 10 months ago
A classification approach for genotyping viral sequences based on multidimensional scaling and linear discriminant analysis
Background: Accurate classification into genotypes is critical in understanding evolution of divergent viruses. Here we report a new approach, MuLDAS, which classifies a query seq...
Ji Woong Kim, Yongju Ahn, Kichan Lee, Sung-Hee Par...
EDOC
2004
IEEE
14 years 1 months ago
Using Subject-Oriented Modeling to Develop Jini Applications
A major contributing factor to the complexity of creating and evolving distributed systems is the tangling of middleware-specific functionality with core business functionality in...
Gagan Tandon, Sudipto Ghosh