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» Co-Tracking Using Semi-Supervised Support Vector Machines
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BMCBI
2006
120views more  BMCBI 2006»
15 years 2 months ago
Optimizing amino acid substitution matrices with a local alignment kernel
Background: Detecting remote homologies by direct comparison of protein sequences remains a challenging task. We had previously developed a similarity score between sequences, cal...
Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
140
Voted
CORR
2004
Springer
144views Education» more  CORR 2004»
15 years 2 months ago
The Google Similarity Distance
Words and phrases acquire meaning from the way they are used in society, from their relative semantics to other words and phrases. For computers the equivalent of `society' is...
Rudi Cilibrasi, Paul M. B. Vitányi
120
Voted
VIP
2003
15 years 4 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao
BMCBI
2007
113views more  BMCBI 2007»
15 years 2 months ago
Analysis and prediction of antibacterial peptides
Background: Antibacterial peptides are important components of the innate immune system, used by the host to protect itself from different types of pathogenic bacteria. Over the l...
Sneh Lata, B. K. Sharma, G. P. S. Raghava
113
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CVPR
2001
IEEE
16 years 4 months ago
Bayesian Learning of Sparse Classifiers
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
Anil K. Jain, Mário A. T. Figueiredo