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    PAMI
    2006
    178views more  PAMI 2006»
    Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
    13 years 7 months ago
    Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
    Download  lear.inrialpes.fr
    Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
    Jakob J. Verbeek
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    ICDAR
    2009
    IEEE
    138views Document Analysis» more  ICDAR 2009»
    A Pixel-level Statistical Structural Descriptor for Shape Measure and Recognition
    14 years 2 months ago
    A Pixel-level Statistical Structural Descriptor for Shape Measure and Recognition
    Download  www.cvc.uab.es
    A novel shape descriptor based on the histogram matrix of pixel-level structural features is presented. First, length ratios and angles between the centroid and contour points of ...
    Jing Zhang, Wenyin Liu
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    JAT
    2008
    100views more  JAT 2008»
    Direct and inverse results in variable Hilbert scales
    13 years 7 months ago
    Direct and inverse results in variable Hilbert scales
    Download  www.tu-chemnitz.de
    Variable Hilbert scales are an important tool for the recent analysis of inverse problems in Hilbert spaces, as these constitute a way to describe smoothness of objects other than ...
    Peter Mathé, Bernd Hofmann
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    ICML
    2006
    IEEE
    154views Machine Learning» more  ICML 2006»
    Local distance preservation in the GP-LVM through back constraints
    14 years 8 months ago
    Local distance preservation in the GP-LVM through back constraints
    Download  research.microsoft.com
    The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
    Joaquin Quiñonero Candela, Neil D. Lawrence
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    TSP
    2011
    230views more  TSP 2011»
    Bayesian Nonparametric Inference of Switching Dynamic Linear Models
    13 years 2 months ago
    Bayesian Nonparametric Inference of Switching Dynamic Linear Models
    Download  web.mit.edu
    —Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
    Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
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