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Chapter 5: Linear Discriminant Functions (Sections 5.1-5.3, 5.4, 5.11)

Chapter 5: Linear Discriminant Functions (Sections 5.1-5.3, 5.4, 5.11)

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 5: Linear Discriminant Functions (Sections 5.1-5.3, 5.4, 5.11).

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1.27k views • 61 slides
Pattern Recognition: Statistical and Neural

Pattern Recognition: Statistical and Neural

Nanjing University of Science & Technology. Pattern Recognition: Statistical and Neural. Lonnie C. Ludeman Lecture 16 Oct 19, 2005. Lecture 16 Topics. 1. Minimum Distance Classifiers-Examples 2. Similarity Measures 3. Perceptron Algorithm- Example. Minimum Distance Classifiers.

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436 views • 43 slides
Discriminative and generative methods for bags of features

Discriminative and generative methods for bags of features

Discriminative and generative methods for bags of features. Zebra. Non-zebra. Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba. Image classification.

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598 views • 40 slides
Commonly Used Classification Techniques and Recent Developments

Commonly Used Classification Techniques and Recent Developments

Commonly Used Classification Techniques and Recent Developments. Presented by Ke-Shiuan Lynn. Input Vector (Feature). Output (Class). Classifier. Terminology.

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430 views • 33 slides
Discriminative and generative methods for bags of features

Discriminative and generative methods for bags of features

Discriminative and generative methods for bags of features. Zebra. Non-zebra. Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba. Image classification.

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308 views • 22 slides
EE 3220: Digital Communication

EE 3220: Digital Communication

EE 3220: Digital Communication. Lec-5: Optimum Detection. Dr. Hassan Yousif Ahmed Department of Electrical Engineering College of Engineering at Wadi Aldwasser Slman bin Abdulaziz University. Last time we talked about:. Receiver structure Impact of AWGN and ISI on the transmitted signal

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410 views • 21 slides

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