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» Corner Detection Using Support Vector Machines
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BMVC
1998
13 years 8 months ago
Corner Detection Via Topographic Analysis of Vector Potential
This paper describes how corner detection can be realised using a new feature representation that has recently been successfully exploited for edge and symmetry detection. The fea...
Bin Luo, Andrew D. J. Cross, Edwin R. Hancock
JCB
2006
138views more  JCB 2006»
13 years 7 months ago
Recognition and Classification of Histones Using Support Vector Machine
Histones are DNA-binding proteins found in the chromatin of all eukaryotic cells. They are highly conserved and can be grouped into five major classes: H1/H5, H2A, H2B, H3, and H4...
Manoj Bhasin, Ellis L. Reinherz, Pedro A. Reche
CVPR
2008
IEEE
14 years 9 months ago
Classification using intersection kernel support vector machines is efficient
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...
Subhransu Maji, Alexander C. Berg, Jitendra Malik
BMCBI
2010
88views more  BMCBI 2010»
13 years 7 months ago
Proteome scanning to predict PDZ domain interactions using support vector machines
Background: PDZ domains mediate protein-protein interactions involved in important biological processes through the recognition of short linear motifs in their target proteins. Tw...
Shirley Hui, Gary D. Bader
INFORMS
2010
177views more  INFORMS 2010»
13 years 5 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...