Pattern Recognition

Weekly outline

• General
  

  General

  Grading Criteria

  • Week 7:
    • Assignments 10% 
    • Midterm 20%
  • Week 12:
    • Assignments 10%
    • Project presented in Week 12: 20%
  • Final 40%
    • Seminar presented in Week 15: 20%
    • Final Exam in Week 16: 20%

  • News forum
  • Textbook URL

    Pattern Recognition, by S. Theodoridis and K. Koutroumbas  

  • MATLAB-based examples accompanying the book URL

    An Introduction to Pattern Recognition, by S. Theodoridis and K. Koutroumbas 

  • Book-Software File
  • Duda et al. - Pattern Classification, 2nd ed. (Wiley, 2000) File
  • "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" Book Download Link URL
  • Tools and Datasets Page
  • From Curve Fitting to Machine Learning 2011 File
  • Excel Data Analysis for Dummies 2014 File
  • Images N Bayes Matlab source code File
• 27 September - 3 October
  

  27 September - 3 October

  Week 1: Introduction

  • Lecture1 IntroBayes1 File
• 4 October - 10 October
  

  4 October - 10 October

  Eid Al- Adha Holidays

  
• 11 October - 17 October
  

  11 October - 17 October

  Week 2: Bayesian Decision Theory 1

  • Lecture2 File
• 18 October - 24 October
  

  18 October - 24 October

  Week 3: Bayesian Decision Theory 2

  • Lecture3 File
  • Images N Bayes Matlab source code File
  • images MAT File
  • NB Classifier Lab File
  • TextData MAT File
  • naive bayes Matlab Source Code File
• 25 October - 31 October
  

  25 October - 31 October

  • Lecture 4 File
• 1 November - 7 November
  

  1 November - 7 November

  • ExploringData 0 File
• 8 November - 14 November
  

  8 November - 14 November

  • Lecture5 GMM EM File
  • Lecture5 GMM EM File
• 15 November - 21 November
  

  15 November - 21 November

  • Lecture6 nonParam File
  • Lecture6 nonParam File
• 22 November - 28 November
  

  22 November - 28 November

  • Lecture7 linear File
• 29 November - 5 December
  

  29 November - 5 December

  • Lecture8 linear File
• 6 December - 12 December
  

  6 December - 12 December

  Week 10: Non-Linear 1: Decision Trees

  • Lecture9 nonLinear File
  • DecisionTreeInduction 2014 File
  • Decision Tree Implementation Submission Assignment

    you can get the data from here:

    https://alliance.seas.upenn.edu/~cis520/wiki/index.php?n=Lectures.DecisionTrees

• 13 December - 19 December
  

  13 December - 19 December

  Week 11: Midterm: Due Sunday 21st of December 8 a.m. sharp

  • Dataset File
  • CC716 midterm 1 f2014 File
  • Midterm Solution SUbmissions Assignment
  • Possible Exam Experiments in Matlab File
  • ExamExperimentsResults File
• 20 December - 26 December
  

  20 December - 26 December

  Week 12: Non-Linear SVM

  • Lecture10 nonLinear2 File
  • Support Vector Machines 2000 File
• 27 December - 2 January
  

  27 December - 2 January

  Week 13: Neural Networks

  • Lecture11 nonLinear3 File
  • Lecture11 nonLinear3 File
• 3 January - 9 January
  

  3 January - 9 January

  Merry Christmas and Happy New Year :) Its a holiday, but please prepare for your seminar and project presentations next week, and then the final exam the week after

  
• 10 January - 16 January
  

  10 January - 16 January

  • Project Submissions Assignment

    Please Submit your project files here

  • Final Exam Experimentation Submissions Assignment