Pattern Recognition – Spring 2013

Course No: 0907542
Course Name: Pattern Recognition

Facebook page: http://www.facebook.com/pages/Cpe542-Pattern-Recognition/114343765412692

Department Announcement Page: http://www.facebook.com/pages/Computer-Engineering-Department/369639656466107

Handouts:

  • Course Syllabus (pdf)
  • Project Report Guidelines (ppt)
  • Slides:
  • Course Introduction (ppt)
  • Introduction (ppt)
  • Bayes Classifiers (ppt)
  • Linear Classifiers (ppt)
  • Nonlinear Classifiers (ppt)
  • Feature Selection (ppt)
  • Feature Generation (ppt)
  • Template Matching (ppt)
  • Context Dependent Classification (ppt)
  • System Evaluation (ppt)
  • Clustering Algorithms (ppt)
  • Clustering Techniques (ppt)

Demonstrations:

Suggested problems:

  • Chapter 2: 2.2, 2.7, 2.8, 2.12, 2.31
  • Chapter 3: 3.4, 3.6, 3.9 (Some problems require programming)
  • Chapter 4: 4.1, 4.3

Important Links:

Links to Items Used in the Last Lecture:

Solutions:

  • Midterm Exam (pdf)

Grades sheet that shows the number of absents as of 1/4/2013 and the midterm exam (pdf). Red indicates a warning for too many absents. Also, the marks as entered in ACAD (TBA).

Last update on 1/4/2013, 7:42 pm.