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    ICCV
    2003
    IEEE
    178views Computer Vision» more  ICCV 2003»
    Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
    14 years 10 months ago
    Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
    Download  www.whoi.edu
    This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
    Sanjay Tiwari, Scott Gallager
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    JMLR
    2006
    131views more  JMLR 2006»
    On Representing and Generating Kernels by Fuzzy Equivalence Relations
    13 years 8 months ago
    On Representing and Generating Kernels by Fuzzy Equivalence Relations
    Download  jmlr.csail.mit.edu
    Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
    Bernhard Moser
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    SAC
    2006
    ACM
    151views Applied Computing» more  SAC 2006»
    The impact of sample reduction on PCA-based feature extraction for supervised learning
    14 years 2 months ago
    The impact of sample reduction on PCA-based feature extraction for supervised learning
    Download  www.win.tue.nl
    “The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
    Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
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    AAAI
    2008
    195views Intelligent Agents» more  AAAI 2008»
    Transfer Learning via Dimensionality Reduction
    13 years 11 months ago
    Transfer Learning via Dimensionality Reduction
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    Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
    Sinno Jialin Pan, James T. Kwok, Qiang Yang
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    ICML
    2001
    IEEE
    188views Machine Learning» more  ICML 2001»
    Feature selection for high-dimensional genomic microarray data
    14 years 9 months ago
    Feature selection for high-dimensional genomic microarray data
    Download  www.nslij-genetics.org
    We report on the successful application of feature selection methods to a classification problem in molecular biology involving only 72 data points in a 7130 dimensional space. Ou...
    Eric P. Xing, Michael I. Jordan, Richard M. Karp
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