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Parzen windows - PowerPoint PPT Presentation

Outline

Outline

Outline. Nonparametric Techniques Density Estimation Histogram Approach Parzen-window method K n -Nearest-Neighbor Estimation Component Analysis and Discriminants Principal Components Analysis Fisher Linear Discriminant MDA. NONPARAMETRIC TECHNIQUES.

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626 views • 62 slides
Classification

Classification

Classification. ECE 847: Digital Image Processing. Stan Birchfield Clemson University. Acknowledgment. Many slides are courtesy of Frank Dellaert and Jim Rehg at Georgia Tech. from http://www-static.cc.gatech.edu/classes/AY2007/cs4495_fall/html/materials.html.

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725 views • 60 slides
Computational Intelligence: Methods and Applications

Computational Intelligence: Methods and Applications

Computational Intelligence: Methods and Applications. Lecture 28 Non-parametric density modeling Source: W?odzis?aw Duch ; Dept. of Informatics, UMK ; Google: W Duch. Density from histograms.

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460 views • 35 slides
Mutual Information Based Registration of Medical Images

Mutual Information Based Registration of Medical Images

Mutual Information Based Registration of Medical Images. Pluim et al: Survey Mattes et al: CT/PET Registration. Background. Mutual information-based registration was proposed by Viola and Wells (MIT) in 1994-5. It has become commonplace in many clinical applications.

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636 views • 28 slides
Chapter 4 (Part 1): Non-Parametric Classification (Sections 4.1-4.3)

Chapter 4 (Part 1): Non-Parametric Classification (Sections 4.1-4.3)

Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley & Sons, 2000 with the permission of the authors and the publisher. Chapter 4 (Part 1): Non-Parametric Classification (Sections 4.1-4.3).

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451 views • 23 slides

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