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    » Analysis and Application of Adaptive Sampling
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    CVPR
    2005
    IEEE
    611views Computer Vision» more  CVPR 2005»
    A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
    15 years 11 months ago
    A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
    Download  users.rsise.anu.edu.au
    A novel framework called 2D Fisher Discriminant Analysis (2D-FDA) is proposed to deal with the Small Sample Size (SSS) problem in conventional One-Dimensional Linear Discriminan...
    Hui Kong, Lei Wang, Eam Khwang Teoh, Jian-Gang Wan...
    posted by Hui Kong
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    ICS
    2005
    Tsinghua U.
    85views Distributed And Parallel Com...» more  ICS 2005»
    Design of a next generation sampling service for large scale data analysis applications
    15 years 5 months ago
    Design of a next generation sampling service for large scale data analysis applications
    Download  www.cse.ohio-state.edu
    Huai Wang, Srinivasan Parthasarathy, Amol Ghoting,...
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    IPMI
    2003
    Springer
    198views Medical Imaging» more  IPMI 2003»
    Meshfree Representation and Computation: Applications to Cardiac Motion Analysis
    16 years 13 days ago
    Meshfree Representation and Computation: Applications to Cardiac Motion Analysis
    Download  www.ee.ust.hk
    Abstract. For medical image analysis issues where the domain mappings between images involve large geometrical shape changes, such as the cases of nonrigid motion recovery and inte...
    Huafeng Liu, Pengcheng Shi
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    MVA
    1998
    119views Computer Vision» more  MVA 1998»
    Integrated Techniques for Self-Organisation, Sampling, Habituation, and Motion-Tracking in Visual Robotics Applications
    15 years 29 days ago
    Integrated Techniques for Self-Organisation, Sampling, Habituation, and Motion-Tracking in Visual Robotics Applications
    Download  b2.cvl.iis.u-tokyo.ac.jp
    We summarise several techniques in use in our visual robotics research. Our aim is to develop robots that are thoroughly autonomous and adaptable. We describe a system that is ind...
    Mark W. Peters, Arcot Sowmya
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    PAKDD
    2005
    ACM
    114views Data Mining» more  PAKDD 2005»
    Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
    15 years 5 months ago
    Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
    Download  personal.gscit.monash.edu.au
    The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
    Chia Huey Ooi, Madhu Chetty
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