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    » Contextual Integration Testing of Classes
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    CLEIEJ
    2008
    69views more  CLEIEJ 2008»
    Heuristics for the Identification of Class Integration Order in Object-Oriented Software Testing
    13 years 5 months ago
    Heuristics for the Identification of Class Integration Order in Object-Oriented Software Testing
    Download  www.clei.cl
    Gladys Machado Pereira S. Lima, Arilo Claudio Dias...
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    TOSEM
    1998
    64views more  TOSEM 1998»
    In Black and White: An Integrated Approach to Class-Level Testing of Object-Oriented Programs
    13 years 5 months ago
    In Black and White: An Integrated Approach to Class-Level Testing of Object-Oriented Programs
    Download  www.cparity.com
    Huo Yan Chen, T. H. Tse, F. T. Chan, Tsong Yueh Ch...
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    ICANNGA
    2007
    Springer
    149views Algorithms» more  ICANNGA 2007»
    Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions
    13 years 11 months ago
    Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions
    Download  homepages.feis.herts.ac.uk
    Currently the best algorithms for transcription factor binding site predictions are severely limited in accuracy. However, a non-linear combination of these algorithms could improv...
    Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, R...
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    CVPR
    2009
    IEEE
    515views Computer Vision» more  CVPR 2009»
    Contextual Flow
    15 years 14 days ago
    Contextual Flow
    Download  www.ece.northwestern.edu
    Matching based on local brightness is quite limited, because small changes on local appearance invalidate the constancy in brightness. The root of this limitation is its treatme...
    Ying Wu (Northwestern University), Jialue Fan (Nor...
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    CVPR
    2009
    IEEE
    281views Computer Vision» more  CVPR 2009»
    An Empirical Bayes Approach to Contextual Region Classification
    15 years 14 days ago
    An Empirical Bayes Approach to Contextual Region Classification
    Download  www.cs.unc.edu
    This paper presents a nonparametric approach to labeling of local image regions that is inspired by recent developments in information-theoretic denoising. The chief novelty of ...
    Svetlana Lazebnik (UNC Chapel Hill), Maxim Raginsk...
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