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    BMCBI
    2010
    179views more  BMCBI 2010»
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    13 years 8 months ago
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    Download  www.biomedcentral.com
    Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
    Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
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    CN
    2004
    104views more  CN 2004»
    On detecting feature interactions in the programmable service environment of Internet telephony
    13 years 7 months ago
    On detecting feature interactions in the programmable service environment of Internet telephony
    Download  se.naist.jp
    This paper presents a new method to tackle the feature interaction problem in Internet telephony with the CPL (Call Processing Language) programmable service environment. To cope ...
    Masahide Nakamura, Pattara Leelaprute, Ken-ichi Ma...
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    OOPSLA
    2004
    Springer
    121views Security Privacy» more  OOPSLA 2004»
    Resolving feature convolution in middleware systems
    14 years 1 months ago
    Resolving feature convolution in middleware systems
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    Middleware provides simplicity and uniformity for the development of distributed applications. However, the modularity of the architecture of middleware is starting to disintegrat...
    Charles Zhang, Hans-Arno Jacobsen
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    TIFS
    2008
    113views more  TIFS 2008»
    A Selective Feature Information Approach for Iris Image-Quality Measure
    13 years 7 months ago
    A Selective Feature Information Approach for Iris Image-Quality Measure
    Download  www.engr.iupui.edu
    Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
    Craig Belcher, Yingzi Du
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    ICASSP
    2007
    IEEE
    179views Signal Processing» more  ICASSP 2007»
    Feature Selection Based on Fisher Ratio and Mutual Information Analyses for Robust Brain Computer Interface
    14 years 2 months ago
    Feature Selection Based on Fisher Ratio and Mutual Information Analyses for Robust Brain Computer Interface
    Download  nsp.i2r.a-star.edu.sg
    This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
    Tran Huy Dat, Cuntai Guan
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