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    JCB
    2007
    191views more  JCB 2007»
    Bayesian Haplotype Inference via the Dirichlet Process
    13 years 8 months ago
    Bayesian Haplotype Inference via the Dirichlet Process
    Download  www.cs.berkeley.edu
    The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
    Eric P. Xing, Michael I. Jordan, Roded Sharan
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    TWC
    2008
    156views more  TWC 2008»
    Secure and Fault-Tolerant Event Boundary Detection in Wireless Sensor Networks
    13 years 8 months ago
    Secure and Fault-Tolerant Event Boundary Detection in Wireless Sensor Networks
    Download  www.cs.ucdavis.edu
    Event boundary detection is in and of itself a useful application in wireless sensor networks (WSNs). Typically, it includes the detection of a large-scale spatial phenomenon such ...
    Kui Ren, Kai Zeng, Wenjing Lou
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    ENTCS
    2008
    144views more  ENTCS 2008»
    Platform Independent Timing of Java Virtual Machine Bytecode Instructions
    13 years 7 months ago
    Platform Independent Timing of Java Virtual Machine Bytecode Instructions
    Download  www.cs.may.ie
    The accurate measurement of the execution time of Java bytecode is one factor that is important in order to estimate the total execution time of a Java application running on a Ja...
    Jonathan M. Lambert, James F. Power
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    PAMI
    2007
    121views more  PAMI 2007»
    Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation
    13 years 7 months ago
    Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation
    Download  publications.idiap.ch
    — In this paper, we investigate the use of brain activity for person authentication. It has been shown in previous studies that the brain-wave pattern of every individual is uniq...
    Sébastien Marcel, José del R. Mill&a...
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    ICIP
    2009
    IEEE
    135views Image Processing» more  ICIP 2009»
    Random swap EM algorithm for finite mixture models in image segmentation
    13 years 5 months ago
    Random swap EM algorithm for finite mixture models in image segmentation
    Download  cs.joensuu.fi
    The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
    Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
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