Presentation is loading. Please wait.

Presentation is loading. Please wait.

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.

Published by Modified over 9 years ago

Similar presentations

Presentation on theme: "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."— Presentation transcript:

1 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

2 Pattern Classification, Ch4 (Part 1) 1

3 2 Fig. 4.5

4 Pattern Classification, Ch4 (Part 1) 3

5 4 Analogous results are also obtained in two dimensions as illustrated: Fig. 4.6

6 Pattern Classification, Ch4 (Part 1) 5

7 6 Case where p(x) = 1.U(a,b) + 2.T(c,d) (unknown density) (mixture of a uniform and a triangle density) Case where p(x) = 1.U(a,b) + 2.T(c,d) (unknown density) (mixture of a uniform and a triangle density) Fig. 4.7

8 Pattern Classification, Ch4 (Part 1) 7

9 8

Download ppt "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."

Similar presentations

2 1 Discrete Markov Processes (Markov Chains) 3 1 First-Order Markov Models.

2 1 Discrete Markov Processes (Markov Chains) 3 1 First-Order Markov Models.
0 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.

0 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.
Slide 1Fig. 22.1, p.669. Slide 2Fig. 22.3, p.670.

Slide 1Fig. 22.1, p.669. Slide 2Fig. 22.3, p.670.
Chapter 2: Bayesian Decision Theory (Part 2) Minimum-Error-Rate Classification Classifiers, Discriminant Functions and Decision Surfaces The Normal Density.

Chapter 2: Bayesian Decision Theory (Part 2) Minimum-Error-Rate Classification Classifiers, Discriminant Functions and Decision Surfaces The Normal Density.
Pattern Classification, Chapter 2 (Part 2) 0 Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R.

Pattern Classification, Chapter 2 (Part 2) 0 Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R.
Pattern Classification, Chapter 2 (Part 2) 0 Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R.

Pattern Classification, Chapter 2 (Part 2) 0 Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R.
Pattern Classification Chapter 2 (Part 2)0 Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O.

Pattern Classification Chapter 2 (Part 2)0 Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O.
1 “Introduction to Modern Power Electronics”, 2 nd Ed., John Wiley 2010 by Andrzej M. Trzynadlowski.

1 “Introduction to Modern Power Electronics”, 2 nd Ed., John Wiley 2010 by Andrzej M. Trzynadlowski.
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.

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.
Algorithm-Independent Machine Learning Anna Egorova-Förster University of Lugano Pattern Classification Reading Group, January 2007 All materials in these.

Algorithm-Independent Machine Learning Anna Egorova-Förster University of Lugano Pattern Classification Reading Group, January 2007 All materials in these.
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.

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.
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.

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.
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.

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.
Chapter 4 (Part 1): Non-Parametric Classification

Chapter 4 (Part 1): Non-Parametric Classification
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.

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.
0 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.

0 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.
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.

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.
Chapter 2: Bayesian Decision Theory (Part 1) Introduction Bayesian Decision Theory–Continuous Features All materials used in this course were taken from.

Chapter 2: Bayesian Decision Theory (Part 1) Introduction Bayesian Decision Theory–Continuous Features All materials used in this course were taken from.
Pattern Classification, Chapter 3 Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P.

Pattern Classification, Chapter 3 Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P.
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.

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.

Similar presentations

Ads by Google