hw2 - EE 649 Pattern Recognition Spring 2008 Homework 2 Due...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
EE 649 Pattern Recognition – Spring 2008 Homework 2 Due on: Feb 29 Homework Policy : Please return homework in my mailbox by 5 p.m. on Feb 29. 1. Solve Problem 2.9 in DHS. 2. Solve Problem 2.27 in DHS. 3. Solve Problem 2.32 in DHS. Hint: Rotate and translate the coordinate system so that the axis joining the means coincides with one of the axes. You do not need to specify the translation or rotation matrix explicitly. 4. Solve Problem 4.8 in DHS. Hint: Here, P denotes the same as e NN , the asymptotic classi±cation error for the 1-NN classi±er. For arbitrary number of classes ( c > 2), it is given by equation (45) in DHS. For example, for c = 3, P = E [1 ( η 1 ( X ) 2 + η 2 ( X ) 2 + η 3 ( X ) 3 ] , where η i ( X ) = P ( Y = i | X ). For c = 2, this reduces to what we discussed in class (you can check it). The bayes error for an arbitrary number of classes is given by: ǫ = E [1 max i η i ( X )] . For
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 06/01/2008 for the course ECEN ECEN 649-6 taught by Professor Braganeto during the Spring '08 term at Texas A&M.

Page1 / 2

hw2 - EE 649 Pattern Recognition Spring 2008 Homework 2 Due...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online