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    NIPS
    2007
    202views Information Technology» more  NIPS 2007»
    A New View of Automatic Relevance Determination
    13 years 9 months ago
    A New View of Automatic Relevance Determination
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    Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
    David P. Wipf, Srikantan S. Nagarajan
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    CSDA
    2006
    100views more  CSDA 2006»
    Identification of interaction patterns and classification with applications to microarray data
    13 years 7 months ago
    Identification of interaction patterns and classification with applications to microarray data
    Download  www.stat.uni-muenchen.de
    Emerging patterns represent a class of interaction structures which has been recently proposed as a tool in data mining. In this paper, a new and more general definition refering ...
    Anne-Laure Boulesteix, Gerhard Tutz
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    ICIP
    2005
    IEEE
    177views Image Processing» more  ICIP 2005»
    Spatial domain analysis on the focus measurement for light field rendering
    14 years 9 months ago
    Spatial domain analysis on the focus measurement for light field rendering
    Download  www.hc.ic.i.u-tokyo.ac.jp
    Light field rendering (LFR) is an image-based rendering method for synthesizing free-viewpoint images from a set of multi-view images. In LFR, no/little knowledge of geometry is r...
    Keita Takahashi, Takeshi Naemura
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    ICDAR
    2009
    IEEE
    371views Document Analysis» more  ICDAR 2009»
    Text Line Segmentation Based on Morphology and Histogram Projection
    14 years 2 months ago
    Text Line Segmentation Based on Morphology and Histogram Projection
    Download  www.cvc.uab.es
    Text extraction is an important phase in document recognition systems. In order to segment text from a page document it is necessary to detect all the possible manuscript text reg...
    Rodolfo P. dos Santos, Gabriela S. Clemente, Ing R...
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    CSDA
    2008
    158views more  CSDA 2008»
    Outlier identification in high dimensions
    13 years 7 months ago
    Outlier identification in high dimensions
    Download  www.statistik.tuwien.ac.at
    A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
    Peter Filzmoser, Ricardo A. Maronna, Mark Werner
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