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» PAC-Learning of Markov Models with Hidden State
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BMCBI
2008
137views more  BMCBI 2008»
13 years 6 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
CVPR
2006
IEEE
14 years 8 months ago
Bilayer Segmentation of Live Video
This paper presents an algorithm capable of real-time separation of foreground from background in monocular video sequences. Automatic segmentation of layers from colour/contrast ...
Antonio Criminisi, Geoffrey Cross, Andrew Blake, V...
WISEC
2010
ACM
14 years 1 months ago
pBMDS: a behavior-based malware detection system for cellphone devices
Computing environments on cellphones, especially smartphones, are becoming more open and general-purpose, thus they also become attractive targets of malware. Cellphone malware no...
Liang Xie, Xinwen Zhang, Jean-Pierre Seifert, Senc...
BMCBI
2008
155views more  BMCBI 2008»
13 years 6 months ago
Prediction of regulatory elements in mammalian genomes using chromatin signatures
Background: Recent genomic scale survey of epigenetic states in the mammalian genomes has shown that promoters and enhancers are correlated with distinct chromatin signatures, pro...
Kyoung-Jae Won, Iouri Chepelev, Bing Ren, Wei Wang
BMCBI
2008
131views more  BMCBI 2008»
13 years 6 months ago
Major copy proportion analysis of tumor samples using SNP arrays
Background: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the human genome and are useful as genomic markers. Oligonucleotide SNP microarrays ha...
Cheng Li, Rameen Beroukhim, Barbara A. Weir, Wendy...