Statistical Pattern Recognition course page


Current semester (Spring 2012):


Lecture Notes:

  • Lec0- An Introduction to Matlab (1370 kB)
  • Lec1- Course overview (976 kB)
  • Lec2- Mathematical review (550 kB)
  • Lec3- Feature space and feature selection (343 kB)
  • Lec4- Dimensional reduction (feature extraction) (977 kB)
  • Lec5- Classification – Introduction (287 kB)
  • Lec6- Classification – Probabilistic Methods (552 kB)
  • Lec7- Classification – Discriminant Functions (424 kB)
  • Lec8- Classification – Modeling (309 kB)
  • Lec9- Classification – Neural networks concepts (552 kB)
  • Lec10- Classification – Support Vector Machines (639kB)
  • Lec11- Classification – Kernel methods (470 kB)
  • Lec12- Classification – Graphical Methods (398 kB)
  • Lec13- Clustering (374 kB)
  • Lec14- Expectation Maximization (EM) and Mixture Models (695 kB)
  • Lec15- Semi-supervised classification (305 kB)
  • Lec16- Combining methods (158 kB)
  • Applications:


Assignments:


Quizzes:

  • Spring 2012: Q1(P,S), Q2(P,S), Q3(P,S), Q4(P,S), Q5(P,S), Q6(P,S), Q7(P,S), ME1(P,S), Q8-1(P,S), Q8-2(P,S), ME2(P,S), Q9(P,S)
  • Spring 2011: Q1(P,S), Q2(P,S), Q3(P,S), Q4(P,S), Q5(P,S), Q6(P,S), Q7(P,S), Q8(P,S), ME1(P,S), Q9(P,S), ME2(P,S), Q10(P,S)
  • Spring 2010: Q1(P,S), Q2(P,S), Q3(P,S), Q4(P,S), Q5(P,S), Q6(P,S), Q7(P,S), Q8(P,S), Q9(P,S)


Course Project:


Past Exams:


Useful Links:

This page will be updated continuously during the spring 2012 semester.

http://www.svcl.ucsd.edu/courses/ece271A-F10/ece271A-F10.htm