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    PAMI
    2010
    276views more  PAMI 2010»
    Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
    14 years 8 months ago
    Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
    Download  web.engr.oregonstate.edu
    —This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
    Yijun Sun, Sinisa Todorovic, Steve Goodison
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    SIAMSC
    2010
    192views more  SIAMSC 2010»
    Adaptive Discontinuous Galerkin Methods for Eigenvalue Problems Arising in Incompressible Fluid Flows
    14 years 8 months ago
    Adaptive Discontinuous Galerkin Methods for Eigenvalue Problems Arising in Incompressible Fluid Flows
    Download  eprints.nottingham.ac.uk
    In this article we consider the a posteriori error estimation and adaptive mesh refinement of discontinuous Galerkin finite element approximations of the hydrodynamic stability p...
    K. Andrew Cliffe, Edward J. C. Hall, Paul Houston
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    BMVC
    2010
    256views Computer Vision» more  BMVC 2010»
    Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
    14 years 8 months ago
    Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
    Download  ar.in.tum.de
    In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
    Loren Arthur Schwarz, Diana Mateus, Victor Castane...
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    BMVC
    2010
    203views Computer Vision» more  BMVC 2010»
    Generalized RBF feature maps for Efficient Detection
    14 years 8 months ago
    Generalized RBF feature maps for Efficient Detection
    Download  cvit.iiit.ac.in
    Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
    Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...
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    BMVC
    2010
    181views Computer Vision» more  BMVC 2010»
    Local Gaussian Processes for Pose Recognition from Noisy Inputs
    14 years 8 months ago
    Local Gaussian Processes for Pose Recognition from Noisy Inputs
    Download  www.cs.man.ac.uk
    Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
    Martin Fergie, Aphrodite Galata
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