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    CLUSTER
    2008
    IEEE
    88views Distributed And Parallel Com...» more  CLUSTER 2008»
    Variable-grain and dynamic work generation for Minimal Unique Itemset mining
    14 years 11 months ago
    Variable-grain and dynamic work generation for Minimal Unique Itemset mining
    Download  mavdisk.mnsu.edu
    Abstract--SUDA2 is a recursive search algorithm for Minimal Unique Itemset detection. Such sets of items are formed via combinations of non-obvious attributes enabling individual r...
    Paraskevas Yiapanis, David J. Haglin, Anna M. Mann...
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    CGF
    2008
    124views more  CGF 2008»
    Fast Soft Self-Shadowing on Dynamic Height Fields
    14 years 10 months ago
    Fast Soft Self-Shadowing on Dynamic Height Fields
    Download  research.microsoft.com
    We present a new, real-time method for rendering soft shadows from large light sources or lighting environments on dynamic height fields. The method first computes a horizon map f...
    John Snyder, Derek Nowrouzezahrai
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    GIS
    2005
    ACM
    143views Automated Reasoning» more  GIS 2005»
    In-network surface simplification for sensor fields
    15 years 11 months ago
    In-network surface simplification for sensor fields
    Download  www.cse.unt.edu
    Recent research literature on sensor network databases has focused on finding ways to perform in-network aggregation of sensor readings to reduce the message cost. However, with t...
    Brian Harrington, Yan Huang
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    ISMB
    1996
    144views Computational Biology» more  ISMB 1996»
    Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
    14 years 11 months ago
    Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
    Download  cubic.bioc.columbia.edu
    For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...
    Burkhard Rost, Rita Casadio, Piero Fariselli
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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
    14 years 10 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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