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    JCIT
    2008
    165views more  JCIT 2008»
    Adaptive Source pixel based Prediction for Lossless Intra Coding of H.264 MPEG-4 /AVC
    14 years 10 months ago
    Adaptive Source pixel based Prediction for Lossless Intra Coding of H.264 MPEG-4 /AVC
    Download  www.aicit.org
    A new prediction for lossless intra coding technique employs source pixel based prediction in contrast to source block based prediction is presented as an enhancement of H.264/MPE...
    N. Krishnan, P. Vijayalakshmi, R. K. Selvakumar, S...
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    IPPS
    2005
    IEEE
    125views Distributed And Parallel Com...» more  IPPS 2005»
    MaTCH : Mapping Data-Parallel Tasks on a Heterogeneous Computing Platform Using the Cross-Entropy Heuristic
    15 years 3 months ago
    MaTCH : Mapping Data-Parallel Tasks on a Heterogeneous Computing Platform Using the Cross-Entropy Heuristic
    Download  www.cse.ohio-state.edu
    We propose in this paper a heuristic for mapping a set of interacting tasks of a parallel application onto a heterogeneous computing platform such as a computational grid. Our nov...
    Soumya Sanyal, Sajal K. Das
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    BMCBI
    2008
    136views more  BMCBI 2008»
    An efficient method for the prediction of deleterious multiple-point mutations in the secondary structure of RNAs using suboptim
    14 years 10 months ago
    An efficient method for the prediction of deleterious multiple-point mutations in the secondary structure of RNAs using suboptim
    Download  www.biomedcentral.com
    Background: RNAmute is an interactive Java application which, given an RNA sequence, calculates the secondary structure of all single point mutations and organizes them into categ...
    Alexander Churkin, Danny Barash
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    BMCBI
    2010
    224views more  BMCBI 2010»
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    14 years 10 months ago
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    Download  www.biomedcentral.com
    Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
    Susmita Datta, Vasyl Pihur, Somnath Datta
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    SIGIR
    2006
    ACM
    205views Information Technology» more  SIGIR 2006»
    Learning user interaction models for predicting web search result preferences
    15 years 3 months ago
    Learning user interaction models for predicting web search result preferences
    Download  research.microsoft.com
    Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
    Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
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