Pattern Recognition – Spring 2012

Course No: 0907542
Course Name: Pattern Recognition

Handouts:

  • Course Syllabus (pdf)
  • Project Report Guidelines (pdf) New
  • 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 (pdf) that shows the number of absents as of 18/4/2012 and the midterm exam and project results. Also, the marks as entered in ACAD (pdf).

Last update on 17/5/2012, 1:34 pm.

8 Responses to Pattern Recognition – Spring 2012

  1. Yousef Shamieh says:

    Hello Dr.
    the link for “Linear Classifiers” is not valid and cannot be loaded.

  2. waed melhim says:

    Hello Dr
    the link of the number of absents is opening the Course Outline will you check it please .

  3. amjad aljunidi says:

    hello Dr
    how can I get the tool of svmclassify and other classify in matlab?
    because my version doesn’t have this tools
    my version of matlab 7 for windows 7

Comments are closed.