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    AAAI
    2012
    195views Intelligent Agents» more  AAAI 2012»
    Width and Complexity of Belief Tracking in Non-Deterministic Conformant and Contingent Planning
    11 years 11 months ago
    Width and Complexity of Belief Tracking in Non-Deterministic Conformant and Contingent Planning
    Download  ldc.usb.ve
    It has been shown recently that the complexity of belief tracking in deterministic conformant and contingent planning is exponential in a width parameter that is often bounded and...
    Blai Bonet, Hector Geffner
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    BMCBI
    2010
    193views more  BMCBI 2010»
    Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements
    13 years 9 months ago
    Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements
    Download  www.biomedcentral.com
    Background: Affymetrix GeneChip microarrays are popular platforms for expression profiling in two types of studies: detection of differential expression computed by p-values of t-...
    Jakub Mieczkowski, Magdalena E. Tyburczy, Michal D...
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    PROCEDIA
    2011
    227views Pattern Recognition» more  PROCEDIA 2011»
    GPU-accelerated Chemical Similarity Assessment for Large Scale Databases
    12 years 12 months ago
    GPU-accelerated Chemical Similarity Assessment for Large Scale Databases
    Download  gila-fw.bioengr.uic.edu
    The assessment of chemical similarity between molecules is a basic operation in chemoinformatics, a computational area concerning with the manipulation of chemical structural info...
    Marco Maggioni, Marco D. Santambrogio, Jie Liang
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    DRR
    2008
    269views Document Analysis» more  DRR 2008»
    Efficient implementation of local adaptive thresholding techniques using integral images
    13 years 10 months ago
    Efficient implementation of local adaptive thresholding techniques using integral images
    Download  www.dfki.uni-kl.de
    Adaptive binarization is an important first step in many document analysis and OCR processes. This paper describes a fast adaptive binarization algorithm that yields the same qual...
    Faisal Shafait, Daniel Keysers, Thomas M. Breuel
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    ICML
    2009
    IEEE
    124views Machine Learning» more  ICML 2009»
    Large-scale deep unsupervised learning using graphics processors
    14 years 9 months ago
    Large-scale deep unsupervised learning using graphics processors
    Download  ai.stanford.edu
    The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
    Rajat Raina, Anand Madhavan, Andrew Y. Ng
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