Revision as of 13:54, 19 March 2008 by Guptam (Talk)

Page Formatting

Please keep your changes logged under your name in chronological order (most recent change appended to the bottom of your list). If your name is not included yet, please include it, retaining the alphabetization of the users by name. Entries are sorted by first names alphabetically.

Also take a look at the "changes" and locate your changes when you put them up

To aid the grader, please try to be as exact as possible' in your description. Number your figures and equations and specify those in your ChangeLog entry. Also give a hyperlink to the page(s) you edited.

Example

Bunyamin Sisman

The ChangeLog

Bunyamin Sisman

  • 2008/03/09 -- Moved the lecture 3 from old Kiwi.

Elvin Bernard

  • 2008/03/17 -- Moved the change log from old Kiwi, for usernames kyohyouk.kim.1, madhur.gupta.1, mandoye.ndoye.1, Rahul.srinivasa.raghavan, thanh.h.ha.1, and yamini.nimmagadda.1. Combined entries made on a single day into one entry.

Gaurav Srivastava

  • 2008/03/10 -- Edited Lecture 17 to fix all the Latex formulae and other formatting so that it works with the new Kiwi.

Jungtag Gong

  • 2008/03/10 -- Linked the software sites with KNN classifier,classification using SVM,demonstration Parzen window matlab codes and several matlab codes related to learning,clustering and pattern classification in Homework_2_Old Kiwi
  • 2008/03/16 -- Copied the KNN and Hilbert Space in the old Glossory to the new system.

Jin-Young Kim

  • 2008/03/09 -- Describe how to download and run Matlab Neural Networks Toolbox for classification [hw2]. Add a link to download SVM libraries in C and describe how to run them in Matlab [hw2]

Josiah Yoder

  • 2008/03/10 -- Copied the ECE662:ChangeLog_Old Kiwi to the new system. Copied over all top-level pages under Course Topics from old Kiwi.

Kyohyouk Kim

  • 2008/03/09 -- Added a part of note in [Lecture 17].

Ka Ki Ng

  • 2008/03/17 -- Copied [Lecture 13] to the new wiki page.

Leonardo Bachega

Madhur Gupta

  • 2008/03/04 -- Added notes to Lecture 17, from starting of discussion on Nearest Neighbor Classification Rule to examples of metrics in the non-discrete domain.
  • 2008/03/19 -- Moved Lecture 16 to the new Kiwi, including the figures.

Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_Old Kiwi


Mandoye Ndoye

  • 2008/03/10 -- Added in Homework/ [HW2] links to many SVM software sites ( sites with SWM codes using MATLAB , sites with SVM codes using C/C++). Also added link to sample SVM datasets for use in the HW2 if needed.

Marc Bosch Ruiz

  • 2008/03/16 -- Copied the Reference section to the new system (Journals, 2008 conferences and other universities websites). Copied some of the publications in the reference section

Maria Ortiz

  • 2008/03/10 -- Copied most of Lecture 5 to the new system.

Rahul Srinivasa Raghavan

Sahm Litkouhi

Saranya Raghavan

Shuowen Hu

  • 2008/03/16 -- Created Figure 1 in Lecture 17: example of phi with triangle that shows the use of invariance coordinates to repeat (p1,...,pN). Transferred my Lecture 15 figures from old KIWI to new KIWI: specifically figure 1 and 2

Singanallur V Venkatakrishnan

Stephen Rudolph

Seong Jun Park

  • 2008/03/17 -- modified some typo in Lecture 18 Nearest Neighbors Clarification Rule and Metric.
  • 2008/03/17 -- add new topic, the Tanomoto metric, in Lecture 17.

Thanh Huy Ha

  • 2008/03/10 -- Created the page [Estimate density using histogram].

Tzu-Cheng Chuang

  • 2008/03/16 -- Moved Lecture 6 to the new system.

Yamini Nimmagadda

Yun-Ting Su

  • 2008/03/16 -- Created Figure 1b in Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued)_Old Kiwi a more accurate illustration of tessalation for nearest neighbor rule in R2. Transferred my Lecture 16 figure and some notes from old KIWI to new KIWI: Useful Parzen Window $ \in \mathbb{R}^n $. Transferred my Lecture 12 note and figure from old KIWI to new KIWI illustration the definition of Support Vector Machine.

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood