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» An Adaptive Supersampling Method
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BMCBI
2008
97views more  BMCBI 2008»
13 years 9 months ago
SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles
Background: Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common m...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
ECML
2006
Springer
14 years 14 days ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
JMM2
2006
133views more  JMM2 2006»
13 years 8 months ago
An Adaptive Method for Image Recovery in the DFT Domain
In image authentication research, a common approach is to divide a given image into a number of smaller blocks, and embed a fragile watermark into each block. The modifications can...
Peining Tao, Ahmet M. Eskicioglu
IMR
2003
Springer
14 years 2 months ago
An Adaptable Surface Parameterization Method
Parameterizations of triangulated surfaces are used in an increasing number of mesh processing applications for various purposes. Although demands vary, they are often required to...
Patrick Degener, Jan Meseth, Reinhard Klein
ICML
2005
IEEE
14 years 9 months ago
Adapting two-class support vector classification methods to many class problems
A geometric construction is presented which is shown to be an effective tool for understanding and implementing multi-category support vector classification. It is demonstrated ho...
Simon I. Hill, Arnaud Doucet