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    » Dimensionality Reduction with Image Data
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    ECCV
    2010
    Springer
    257views Computer Vision» more  ECCV 2010»
    Fast Covariance Computation and Dimensionality Reduction for Sub-Window Features in Images
    15 years 2 months ago
    Fast Covariance Computation and Dimensionality Reduction for Sub-Window Features in Images
    Download  www.cs.unc.edu
    This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
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    IGARSS
    2009
    172views Remote Sensing» more  IGARSS 2009»
    Classification Performance of Random-projection-based Dimensionality Reduction of Hyperspectral Imagery
    14 years 7 months ago
    Classification Performance of Random-projection-based Dimensionality Reduction of Hyperspectral Imagery
    Download  www.ece.msstate.edu
    High-dimensional data such as hyperspectral imagery is traditionally acquired in full dimensionality before being reduced in dimension prior to processing. Conventional dimensiona...
    James E. Fowler, Qian Du, Wei Zhu, Nicolas H. Youn...
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    IJCV
    2006
    124views more  IJCV 2006»
    Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction
    14 years 9 months ago
    Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction
    Download  www.cs.technion.ac.il
    Understanding facial expressions in image sequences is an easy task for humans. Some of us are capable of lipreading by interpreting the motion of the mouth. Automatic lipreading b...
    Michal Aharon, Ron Kimmel
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    SDM
    2007
    SIAM
    133views Data Mining» more  SDM 2007»
    On Point Sampling Versus Space Sampling for Dimensionality Reduction
    14 years 11 months ago
    On Point Sampling Versus Space Sampling for Dimensionality Reduction
    Download  www.charuaggarwal.net
    In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
    Charu C. Aggarwal
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    ICDM
    2006
    IEEE
    117views Data Mining» more  ICDM 2006»
    Linear and Non-Linear Dimensional Reduction via Class Representatives for Text Classification
    15 years 3 months ago
    Linear and Non-Linear Dimensional Reduction via Class Representatives for Text Classification
    Download  scgroup.hpclab.ceid.upatras.gr
    Dimitrios Zeimpekis, Efstratios Gallopoulos
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