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    ICCV
    2009
    IEEE
    333views Computer Vision» more  ICCV 2009»
    Group-sensitive multiple kernel learning for object categorization
    13 years 6 months ago
    Group-sensitive multiple kernel learning for object categorization
    Download  www.nlpr.ia.ac.cn
    In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categoriza...
    Jingjing Yang, Yuanning Li, YongHong Tian, Lingyu ...
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    CVPR
    2009
    IEEE
    352views Computer Vision» more  CVPR 2009»
    Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
    15 years 3 months ago
    Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
    Download  www.kyb.mpg.de
    Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
    Peter V. Gehler, Sebastian Nowozin
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    ICMLA
    2008
    138views Machine Learning» more  ICMLA 2008»
    Data Integration for Recommendation Systems
    13 years 10 months ago
    Data Integration for Recommendation Systems
    Download  homepages.dsu.edu
    The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
    Zhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang
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    BMCBI
    2008
    228views more  BMCBI 2008»
    Adaptive diffusion kernel learning from biological networks for protein function prediction
    13 years 8 months ago
    Adaptive diffusion kernel learning from biological networks for protein function prediction
    Download  www.biomedcentral.com
    Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
    Liang Sun, Shuiwang Ji, Jieping Ye
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    ADCM
    2006
    74views more  ADCM 2006»
    Linearly constrained reconstruction of functions by kernels with applications to machine learning
    13 years 8 months ago
    Linearly constrained reconstruction of functions by kernels with applications to machine learning
    Download  num.math.uni-goettingen.de
    This paper investigates the approximation of multivariate functions from data via linear combinations of translates of a positive definite kernel from a reproducing kernel Hilbert...
    Robert Schaback, J. Werner
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