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
- 2007/10/02 -- Created a new page on Kernels_OldKiwi.
- 2007/10/03 -- Edited Lecture 3 - Bayes classification_OldKiwi by adding the section on Bayes rule equation <3,4,5> and figures <1,2,3>.
The ChangeLog
- 2008/04/07 -- Moved the page and converted all equations and uploaded figures SVM-2D_OldKiwi
- 2008/04/07 -- Moved the page Bayes Example_OldKiwi
- 2008/04/06 -- Added some explanations and a figure to lecture 22 for clustering.
- 2008/04/06 -- Introduced different kinds of clustering algorithms and a simple example with a figure for image segmentation and compression using k-means algorithm in lecture 22.
- 2008/04/01 -- Added the topic: Graphical models_OldKiwi and gave a description of how these models link to decision trees.
- 2008/04/07 -- Added resources to Content-based Image/video Retrieval in Image Processing_OldKiwi
- 2008/04/07 -- Added references to Decision Tree_OldKiwi
- 2008/04/02 -- Edited Lecture 21 - Decision Trees(Continued)_OldKiwi. Added the description of answering the three crucial questions and added two figures Node.jpg[1] and Balance.jpg[2].
- 2008/04/03 -- Added figure examples for hierarchical and partition clusters in Lecture 22 - Decision Trees and Clustering_OldKiwi
- 2008/04/03 -- Create a new page on Convert LIBSVM to FANN python_OldKiwi
- 2008/04/03 -- Add link on Tools_OldKiwi
- 2008/04/05 -- Create one example of the applicaiton of K-NN to estimatimation of time series Course Topics_OldKiwi kNN Algorithm_OldKiwi Discussion_OldKiwi
- 2008/04/05 -- Describe advantage and disadvantage of K-NN algorithm Course Topics_OldKiwi kNN Algorithm_OldKiwi Discussion_OldKiwi
- 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to Glossary_OldKiwi
- 2008/04/03 -- Added a link to a good SVM resource on the Homework 2_OldKiwi page. Also copied all SVM resources listed on the Homework 2_OldKiwi page to the Support Vector Machines_OldKiwi page.
- 2008/04/03 -- Directed some links on the Glossary_OldKiwi page to the appropriate pages.
- 2008/04/06 -- Added Parzen Window classification code written in Scilab
- 2008/04/06 -- Fixed Formating on the page Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_OldKiwi. Fixed formulas, added section structure, pointer to Scilab code: Working Parzen Window Code in Scilab_OldKiwi.
- 2008/04/07 -- Fixed formating on the page Lecture 22 - Decision Trees and Clustering_OldKiwi
- 2008/04/07 -- Fixed formating in several entries of the ECE662:Glossary_OldKiwi, converting formulas to the latex format, and fixing typos. Also added links to external references such as Wikipedia. The entries touched include but are not restricted to: Manhattan distance, Euclidean distance, MAP estimation, Linear Discriminant
- 2008/04/01 -- Created the page for Lecture 21 - Decision Trees(Continued)_OldKiwi. Added the example of fruits, and Three crucial questions to answer.
- 2008/04/03 -- Added to Lecture 22 - Decision Trees and Clustering_OldKiwi the section named "Clustering as a useful technique for searching in databases". This includes the example of Dewey system with figure, and the example of face recognition without figure.
- 2008/04/06 -- Created in the Clustering_OldKiwi section in course topics the page for Hierarchical clustering_OldKiwi.
- 2008/04/03 -- Created in the Clustering_OldKiwi section in course topics the page for Mixture of Gaussians_OldKiwi.
- 2008/04/07 -- Moved the page Supervised learning_OldKiwi.
- 2008/04/07 -- Adjusted the width of an image in Linear Discriminant Functions_OldKiwi
- 2008/04/06 -- Ported over all PDF's, pertaining to 1st Exam_OldKiwi of EC301, from old kiwi to new kiwi.
- 2008/04/06 -- Ported over contents, and added some materials pertaining to 2nd Exam, from old kiwi to new kiwi, for EC301.
- 2008/04/06 -- Added link to commercial and free software for Classification using Decision Trees (Tools_OldKiwi).
- 2008/04/06 -- Added Publication #18 (A Scalable Decision Tree Algorithm) to Publications_OldKiwi, and provided an abstract.
- 2008/04/04 -- Moved several images about Neural Network from old kiwi website to the lecture 13
- 2008/04/06 -- Added lecture notes about image segmentation.
- 2008/04/06 -- Added Figure 5 in Lecture 22 illustrating clustering, specifically hierarchial clustering with human pictures
- 2008/04/06 -- Added figure labels for all pictures in Lecture 22
- 2008/05/05 -- Moved the page and converted all formulas Geometric Series Note_OldKiwi
- 2008/05/06 -- Moved and converted ALL equations from Homework Problem 5.31_OldKiwi
- 2008/04/06 -- Created a category for lecture notes and added all lectures to that category.
- 2008/04/06 -- Created a category for articles that need cleanup and added a lecture to it.
- 2008/04/06 -- Created a category page for optimization.
- 2008/04/02 -- Edited Lecture 21 - added comment on CART Methodology
- 2008/04/02 -- Edited Lecture 21 - created image ECE662_lect21_stopping.jpg and comments about it at the bottom of the page
- 2008/04/03 -- Created the page for Lecture 22 - Decision Trees and Clustering_OldKiwi. Added the note from the beginning to What is clustering
- 2008/04/01 -- Created the figure of a decision tree example in Lecture 21 - Decision Trees(Continued)_OldKiwi.
- 2008/04/01 -- Defined and added different impurity types and latex equations in Lecture 21 - Decision Trees(Continued)_OldKiwi.
- 2008/04/01 -- Added the definitions of pruning_OldKiwi and impurity_OldKiwi to Glossary_OldKiwi
- 2008/04/06 -- Created Figure 6 in Lecture 22 to illustrate an example of clustering with image segmentation.
- 2008/04/06 -- Wrote lecture note about image segmentation to describe Figure 6 in Lecture 22
![[1]](http://balthier.ecn.purdue.edu/index.php/Image:Node.jpg){kind=link}
![[2]](http://balthier.ecn.purdue.edu/index.php/Image:Balance.jpg){kind=link}