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    BMCBI
    2007
    138views more  BMCBI 2007»
    A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
    14 years 10 months ago
    A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
    Download  www.biomedcentral.com
    Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
    Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
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    SIGCSE
    1997
    ACM
    121views Education» more  SIGCSE 1997»
    Application-based modules using apprentice learning for CS 2
    15 years 2 months ago
    Application-based modules using apprentice learning for CS 2
    Download  www.cs.duke.edu
    A typical Data Structures (CS 2) course covers a wide variety of topics: elementary algorithm analysis; data structures including dynamic structures, trees, tables, graphs, etc.; ...
    Owen L. Astrachan, Robert F. Smith, James T. Wilke...
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    ICCV
    2009
    IEEE
    746views Computer Vision» more  ICCV 2009»
    Sparsity Induced Similarity Measure for Label Propagation
    16 years 2 months ago
    Sparsity Induced Similarity Measure for Label Propagation
    Download  www.cs.cmu.edu
    Graph-based semi-supervised learning has gained considerable interests in the past several years thanks to its effectiveness in combining labeled and unlabeled data through labe...
    Hong Cheng, Zicheng Liu, Jie Yang
    posted by chenghong
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    ICPR
    2010
    IEEE
    241views Computer Vision» more  ICPR 2010»
    Detection of Salient Image Points Using Principal Subspace Manifold Structure
    14 years 10 months ago
    Detection of Salient Image Points Using Principal Subspace Manifold Structure
    Download  www.sci.utah.edu
    —This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...
    António R. C. Paiva, Tolga Tasdizen
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    SDM
    2007
    SIAM
    176views Data Mining» more  SDM 2007»
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    14 years 11 months ago
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    Download  siam.org
    We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
    Hichem Frigui, Cheul Hwang
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