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    WSC
    2004
    125views Modeling And Simulation» more  WSC 2004»
    Using Simulated Data in Support of Research on Regression Analysis
    13 years 11 months ago
    Using Simulated Data in Support of Research on Regression Analysis
    Download  www.informs-sim.org
    Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
    Christopher Michael Hill, Linda C. Malone
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    SIP
    2003
    121views Image Processing» more  SIP 2003»
    Polyphase Antialiasing in Enlargements
    13 years 11 months ago
    Polyphase Antialiasing in Enlargements
    Download  www.idc.ac.il
    Changing resolution of images is a common operation. It is also common to use simple, i.e., small interpolation kernels satisfying some ”smoothness” qualities that are determi...
    Daniel Seidner
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    FLAIRS
    1998
    90views Artificial Intelligence» more  FLAIRS 1998»
    Investigating the Validity of a Test Case Selection Methodology for Expert System Validation
    13 years 11 months ago
    Investigating the Validity of a Test Case Selection Methodology for Expert System Validation
    Download  www.aaai.org
    Providing assurances of performance is an important aspect of successful development and commercialization of expert systems. However, this can only be done if the quality of the ...
    Jan-Eike Michels, Thomas Abel, Rainer Knauf, Aveli...
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    IMAGING
    2000
    334views Image Processing» more  IMAGING 2000»
    Color Management within a Spectral Image Visualization Tool
    13 years 11 months ago
    Color Management within a Spectral Image Visualization Tool
    Download  www.art-si.org
    Recent developments in spectral imaging are pointing toward a future where the demands on color management will require a richer infrastructure than that which is currently offere...
    Mitchell R. Rosen, Mark D. Fairchild, Garrett M. J...
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    NIPS
    1998
    154views Information Technology» more  NIPS 1998»
    Semi-Supervised Support Vector Machines
    13 years 11 months ago
    Semi-Supervised Support Vector Machines
    Download  www1.cs.columbia.edu
    We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
    Kristin P. Bennett, Ayhan Demiriz
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