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    JCC
    2007
    127views more  JCC 2007»
    Prediction of GFP spectral properties using artificial neural network
    13 years 7 months ago
    Prediction of GFP spectral properties using artificial neural network
    Download  www.scisoc.or.th
    Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
    Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ay...
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    ICDE
    2008
    IEEE
    203views Database» more  ICDE 2008»
    Training Linear Discriminant Analysis in Linear Time
    14 years 9 months ago
    Training Linear Discriminant Analysis in Linear Time
    Download  www.cs.uiuc.edu
    Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
    Deng Cai, Xiaofei He, Jiawei Han
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    CSDA
    2006
    67views more  CSDA 2006»
    Sensitivity analysis of the strain criterion for multidimensional scaling
    13 years 7 months ago
    Sensitivity analysis of the strain criterion for multidimensional scaling
    Download  rmlewi.people.wm.edu
    Multidimensional scaling (MDS) is a collection of data analytic techniques for constructing configurations of points from dissimilarity information about interpoint distances. Cla...
    R. M. Lewis, M. W. Trosset
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    KDD
    2007
    ACM
    244views Data Mining» more  KDD 2007»
    A Recommender System Based on Local Random Walks and Spectral Methods
    14 years 8 months ago
    A Recommender System Based on Local Random Walks and Spectral Methods
    Download  workshops.socialnetworkanalysis.info
    In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
    Zeinab Abbassi, Vahab S. Mirrokni
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    PAMI
    2010
    192views more  PAMI 2010»
    Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
    13 years 6 months ago
    Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
    Download  www.esat.kuleuven.be
    —A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
    Carlos Alzate, Johan A. K. Suykens
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