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    » A Discriminant Analysis for Undersampled Data
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    DICTA
    2007
    186views Applied Computing» more  DICTA 2007»
    K-means Clustering for Classifying Unlabelled MRI Data
    13 years 9 months ago
    K-means Clustering for Classifying Unlabelled MRI Data
    Download  www.fjt.info.gifu-u.ac.jp
    Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
    Gobert N. Lee, Hiroshi Fujita
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    IROS
    2006
    IEEE
    148views Robotics» more  IROS 2006»
    Environment Understanding: Robust Feature Extraction from Range Sensor Data
    14 years 1 months ago
    Environment Understanding: Robust Feature Extraction from Range Sensor Data
    Download  webdiis.unizar.es
    — This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
    Antonio Romeo, Luis Montano
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    ISI
    2006
    Springer
    167views Security Privacy» more  ISI 2006»
    Spatial-Temporal Cross-Correlation Analysis: A New Measure and a Case Study in Infectious Disease Informatics
    13 years 7 months ago
    Spatial-Temporal Cross-Correlation Analysis: A New Measure and a Case Study in Infectious Disease Informatics
    Download  www.comp.nus.edu.sg
    This paper aims to develop a new statistical measure to identify significant correlations among multiple events with spatial and temporal components. This new measure, ( , )K r t ,...
    Jian Ma, Daniel Dajun Zeng, Hsinchun Chen
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    FLAIRS
    2006
    86views Artificial Intelligence» more  FLAIRS 2006»
    Analysis of Galactic Spectra using Noise-Aware Learning Algorithms
    13 years 9 months ago
    Analysis of Galactic Spectra using Noise-Aware Learning Algorithms
    Download  www.aaai.org
    We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
    H. Jair Escalante, Olac Fuentes
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    BMCBI
    2011
    227views Artificial Intelligence» more  BMCBI 2011»
    To aggregate or not to aggregate high-dimensional classifiers
    12 years 11 months ago
    To aggregate or not to aggregate high-dimensional classifiers
    Download  www.biomedcentral.com
    Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
    Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
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