ENEE 633/CMSC 828C: Statistical and Neural Pattern Recognition (Fall 2005)

FINAL EXAM

COURSE OUTLINE

Contact Information

Instructor   Prof. Rama Chellappa
A. V. Williams Building, Room 4411Phone: (301) 405-3656
ECE Dept, Univ. of MarylandFax: (301) 314-9115
College Park, MD 20741E-mail:rama {AT} cfar.umd.edu
Teaching Assistant    Aswin C Sankaranarayanan Email:aswch {AT} cfar.umd.edu
A. V. Williams Building, Room 4444Phone:x50290

Announcements

  • (new)12/16/2005 Solutions to HW #6. [HW/Projects]
  • (new)12/16/2005 Solutions to HW #5. [HW/Projects]
  • (new)12/13/2005 [Update on the final exam] You are to submit final exam solutions by 2:00pm on 12/21/2005.
  • 12/07/2005 Project 2 statement modified. You are allowed to use SVM optimization routines available on the web. Refer to all code used in the report.
  • 12/03/2005 Homework #6 posted. [HW/Projects]
  • 11/30/2005 Project 2 posted. [Project 2]
  • 11/29/2005 Solutions to HW #4. [HW/Projects]
  • 11/23/2005 Links to material on SVM, Optimal Control and Optimization. [Resources]
  • 11/22/2005 Homework #5 posted. [HW/Projects]
  • 10/26/2005 Project 1 posted. [Project 1]
  • 09/26/2005 Homework #4 posted. [HW/Projects]
  • 09/27/2005 Homework #3 posted. [HW/Projects]
  • 10/05/2005 Mid-term scheduled on October 24. [INFO]
  • 09/27/2005 Homework #2 posted. [HW/Projects]
  • 09/19/2005 TA Office Hours on Fridays 9:00am-11:00am in 4444 AVW or Cfar Conference Room. [INFO]
  • 09/14/2005 Homework #1 posted. [HW/Projects]
  • 09/02/2005 Slides on Face Recognition Uploaded [Resources]
  • 08/17/2005 Please send your name and email to aswch@cfar.umd.edu. Please have the word "633" or "828C" in the subject. I will create an email list for this class. Please broadcast this to others.
  • Course Information

    Class Timings: MW 9:30 am - 10:45 am
    Location: CSI 1121
    Office Hours: MW 11:00 am - 12:30 pm
    Grading: Homeworks 15%, Midterm 20%, Project 25%, Final 40% (comprehensive)
    Midterm: October 24, 2005 (Open book, Open Notes)
    Pre-requisites: ENEE 620 or Permission of the Instructor
    Course Outline: Click here to download
    TA Office Hours: Fridays 9:00 am - 11:00 am at 4444 AVW/CFAR Conf. Room

    Homeworks and Projects

  • Homework #6 Solutions: Click here Click here [I want to thank the student who agreed to have his/her solutions uploaded. I am happy with most of the answers except the one for 6.11 for which I have provided my solutions]
  • Homework #5 Solutions: Click here
  • Homework #6: Simon Haykin Ch. 6, Problems 6.2, 6.3, 6.6, 6.7, 6.9, 6.11. [Due: 12/12/2005]
  • Project #2: Click here for details [Due: anytime before 12/21/2005]
  • Homework #4 Solutions: Click here
  • Homework #5: Duda and Hart (Second Edition) Ch 10 Prb: 2, 8, 16, 18, 23 and 26. Due: 11/30/2005]
  • Project #1: Click here for details [Due: 11/21/2005]
  • Homework #4: Duda and Hart (Second Edition) Ch 5 Prb: 2, 7, 11, 12, 14, 27 [Due: 11/02/2005]
  • Homework #3: Duda and Hart (Second Edition) Ch 4 Prb: 3, 6, 8, 9, 13 [Due: 10/17/2005]
  • Homework #2: Duda and Hart (Second Edition) Ch 2 Prb: 37, 43. Ch 3 Prb: 4, 13, 17, 26 [Due: 10/05/2005]
  • Homework #1: Duda and Hart (Second Edition) Ch 2 Prb: 5, 7, 12, 26, 31, 45 [Due: 09/26/2005]
  • Resources

  • SVM Burges' Tutorial on SVM, Optimal Control Prof. Krishnaprasad's Notes on Optimal Control and Convex Optimization Prof. Wainwright's course on CO at Berkeley Prof. Boyd's book on CO
  • Slides on Face Recognition: [Click Here to Download][Link to Survey Paper on Face Recognition]
  • Textbook FAQ created by D. Stork
  • Elements of Statistical Learning by T. Hastie, R. Tibshirani, and J. Friedman
  • Pattern Recognition and Neural Networks by B. Ripley
  • Pattern Recognition Information: a good website collecting a lot of useful information
  • ENEE621 course note by Prof. Papamarcou: an excellent reference to estimation and detection theory and a good self-start point.
  • Combining Pattern Classifiers: Methods and Algorithms by L. I. Kuncheva, Wiley 2004
  • Kernel Methods for Pattern Analysis by John Shawe-Taylor & Nello Cristianini, Cambridge University Press, 2004