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  • Patter Classification Techniques and their Biometric and Biomedical Applications

  • Wednesday, April 13, 2016 2:30 PM - 3:30 PM EDT
    LWSN 3102A
    Purdue University

    Dr. Adam Krzyzak Professor, Department of Computer Science and Software Engineering Concordia University "Patter Classification Techniques and their Biometric and Biomedical Applications"

    Abstract: We will discuss applications of popular classification techniques such as support vector machines and neural networks in face recognition and in malignancy grading of breast cancer biopsy images. We will also review recent studies on fast rates of convergence under margin condition of plug-in classification rules including kernel, nearest neighbor and partitioning rules.

    Bio: Dr. Krzyzak is currently a Professor in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Quebec, Canada.

    His research interests include:

    • Neural networks
    • Signal and image processing
    • Nonparametric statistics
    • Machine learning


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