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    BMCBI
    2008
    132views more  BMCBI 2008»
    Clustering ionic flow blockade toggles with a Mixture of HMMs
    13 years 9 months ago
    Clustering ionic flow blockade toggles with a Mixture of HMMs
    Download  www.cs.uno.edu
    Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
    Alexander G. Churbanov, Stephen Winters-Hilt
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    BMCBI
    2008
    133views more  BMCBI 2008»
    A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
    13 years 9 months ago
    A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible f...
    Luca Corradi, Marco Fato, Ivan Porro, Silvia Scagl...
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    IPPS
    2007
    IEEE
    120views Distributed And Parallel Com...» more  IPPS 2007»
    Scalable Distributed Execution Environment for Large Data Visualization
    14 years 3 months ago
    Scalable Distributed Execution Environment for Large Data Visualization
    Download  www.cecs.uci.edu
    To use heterogeneous and geographically distributed resources as a platform for parallel visualization is an intriguing topic of research. This is because of the immense potential...
    Micah Beck, Huadong Liu, Jian Huang, Terry Moore
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    KDD
    2000
    ACM
    222views Data Mining» more  KDD 2000»
    Interactive exploration of very large relational datasets through 3D dynamic projections
    14 years 10 days ago
    Interactive exploration of very large relational datasets through 3D dynamic projections
    Download  www.cs.utsa.edu
    The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
    Li Yang
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    ICCV
    2009
    IEEE
    316views Computer Vision» more  ICCV 2009»
    Learning with dynamic group sparsity
    13 years 6 months ago
    Learning with dynamic group sparsity
    Download  paul.rutgers.edu
    This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
    Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
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