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    PAMI
    2010
    238views more  PAMI 2010»
    Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
    15 years 3 months ago
    Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
    Download  mplab.ucsd.edu
    —We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
    Tim K. Marks, John R. Hershey, Javier R. Movellan
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    ICCV
    2007
    IEEE
    253views Computer Vision» more  ICCV 2007»
    Real-time Body Tracking Using a Gaussian Process Latent Variable Model
    16 years 7 months ago
    Real-time Body Tracking Using a Gaussian Process Latent Variable Model
    Download  www.cs.manchester.ac.uk
    In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
    Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
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    ICML
    2009
    IEEE
    219views Machine Learning» more  ICML 2009»
    Non-linear matrix factorization with Gaussian processes
    16 years 5 months ago
    Non-linear matrix factorization with Gaussian processes
    Download  mmds.imm.dtu.dk
    Neil D. Lawrence, Raquel Urtasun
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    ICML
    2007
    IEEE
    206views Machine Learning» more  ICML 2007»
    Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
    16 years 5 months ago
    Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
    Download  reports-archive.adm.cs.cmu.edu
    Andreas Krause, Carlos Guestrin
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    ICPR
    2008
    IEEE
    174views Computer Vision» more  ICPR 2008»
    Human motion recognition using Gaussian Processes classification
    15 years 11 months ago
    Human motion recognition using Gaussian Processes classification
    Download  figment.cse.usf.edu
    Hang Zhou, Liang Wang, David Suter
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