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    BMCBI
    2006
    202views more  BMCBI 2006»
    Spectral embedding finds meaningful (relevant) structure in image and microarray data
    14 years 9 months ago
    Spectral embedding finds meaningful (relevant) structure in image and microarray data
    Download  www.biomedcentral.com
    Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
    Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
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    JCST
    2008
    119views more  JCST 2008»
    Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy
    14 years 9 months ago
    Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy
    Download  www.ccs.neu.edu
    This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
    Daniel Kunkle, Donghui Zhang, Gene Cooperman
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    BMCBI
    2005
    152views more  BMCBI 2005»
    Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
    14 years 9 months ago
    Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
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    Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
    Markus Wistrand, Erik L. L. Sonnhammer
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    ACTA
    1998
    81views more  ACTA 1998»
    Dijkstra-Scholten Predicate Calculus: Concepts and Misconceptions
    14 years 9 months ago
    Dijkstra-Scholten Predicate Calculus: Concepts and Misconceptions
    Download  www.open.ou.nl
    The paper focusses on the logical backgrounds of the Dijkstra-Scholten program development style for correct programs. For proving the correctness of a program (i.e. the fact that...
    Lex Bijlsma, Rob Nederpelt
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    CVPR
    2009
    IEEE
    300views Computer Vision» more  CVPR 2009»
    Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval
    16 years 4 months ago
    Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval
    Download  www.cis.temple.edu
    The matching and retrieval of 2D shapes is an important challenge in computer vision. A large number of shape similarity approaches have been developed, with the main focus bein...
    Xingwei Yang (Temple University), Suzan Koknar-Tez...
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