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    MCS
    2010
    Springer
    333views Pattern Recognition» more  MCS 2010»
    Some Thoughts at the Interface of Ensemble Methods and Feature Selection
    13 years 11 months ago
    Some Thoughts at the Interface of Ensemble Methods and Feature Selection
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    Gavin Brown
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    CIARP
    2010
    Springer
    324views Pattern Recognition» more  CIARP 2010»
    Design of Pattern Classifiers Using Optimum-Path Forest with Applications in Image Analysis
    13 years 3 months ago
    Design of Pattern Classifiers Using Optimum-Path Forest with Applications in Image Analysis
    Download  www.ic.unicamp.br
    Alexandre X. Falcão
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    MCS
    2010
    Springer
    316views Pattern Recognition» more  MCS 2010»
    Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC
    13 years 9 months ago
    Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC
    Download  users.rowan.edu
    We have previously described an incremental learning algorithm, Learn++ .NC, for learning from new datasets that may include new concept classes without accessing previously seen d...
    Gregory Ditzler, Michael D. Muhlbaier, Robi Polika...
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    MCS
    2010
    Springer
    275views Pattern Recognition» more  MCS 2010»
    Combining Multiple Kernels by Augmenting the Kernel Matrix
    13 years 11 months ago
    Combining Multiple Kernels by Augmenting the Kernel Matrix
    Download  www.ee.surrey.ac.uk
    Abstract. In this paper we present a novel approach to combining multiple kernels where the kernels are computed from different information channels. In contrast to traditional me...
    Fei Yan, Krystian Mikolajczyk, Josef Kittler, Muha...
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    MCS
    2010
    Springer
    239views Pattern Recognition» more  MCS 2010»
    Choosing Parameters for Random Subspace Ensembles for fMRI Classification
    13 years 6 months ago
    Choosing Parameters for Random Subspace Ensembles for fMRI Classification
    Download  www.bangor.ac.uk
    Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
    Ludmila I. Kuncheva, Catrin O. Plumpton
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