Math software

Maple software isn't free, but the student edition may be cheap enough to be worth it.

Here is a nice tutorial on plotting in matlab.

Note: Problems Changed for Chap 2.3 2.4

FYI: I have dropped a few of the more tedious problems for 2.3 and 2.4. The assignment is now as listed on the class web page.

UCI Datasets

The University of California Irvine has a nice collection of sample datasets for exparimenting with pattern classification algorithms. Have a look at what's available. We may use these datasets in future assignments; they may also be useful for your final project.

New Reading and Problem Assignments

New reading and problem assignments have been posted on the class syllabus. Please note: I expect written or printed solutions to be single sided. You must show your work, no magic solutions. While hand written solutions are acceptable, I prefer "typed", latex, or .doc home works. If you do not know latex, but have a copy of MS word, you can install the optional equation editor plugin/tool. Several of the problems call for plots of functions, primarily in 1D. Please be sure to include these plots with your home works. Hand drawn plots must be on graph paper with proper annotation.

Project Research & Journals

The last part of this class will involve a project of your choosing, which represents 20% of your final grade. While the project is your choice, it must be approved by the instructor. I will be looking for projects that solve a relevant pattern recognition problem and utilize modern techniques. Some background research on your part will be required. I recommend IEEE PAMI (Transactions on Pattern Recognition and Machine Intelligence) as a good starting point. You might also find scholar.google useful for identifying the most relevant papers to look at. Use the citations number as a (coarse) indicator of the papers impact.

PDF's map homeless population in LA

The "heat maps" at Cartifact are visualizations that show the density of the homeless population in down town LA. This density method is a visual example of probability density functions based on non-parametric estimation; a topic we will cover in chapter 4.

via blogdowntown and boingboing

Books!

Books should be at the bookstore by Friday Jan 19th; the following Monday at the latest. Amazon has them listed for around $100, but you will want speedy shipping too. Please be sure to fix errors using the authors' errata page.

Wecome to Pattern Recognition

Hi, This is the blog for CS 531/ECE 517. Here is where you will find information, news, and assignments for the class. Please do use the comments to ask questions and provide answers for your classmates.