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 -- Add links for clustering techniques
- 2008/04/07 -- Add figure of impurity function on Lecture 21
- 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.
- 2008/04/13 -- Added some explanations, links and a animated gif for Minimum spanning tree algorithms to lecture 24.
- 2008/04/01 -- Added the topic: Graphical models_OldKiwi and gave a description of how these models link to decision trees.
- 2008/04/08 -- Added partial class notes for Lecture 23 - Spanning Trees_OldKiwi Graphical Clustering Methods_OldKiwi
- 2008/04/08 -- Added partial class notes for Lecture 23 - Spanning Trees_OldKiwi Graph Theory Clustering_OldKiwi
- 2008/04/07 -- Created new pages for the Glossary_OldKiwi items: Distance_OldKiwi, Metric_OldKiwi, Generic Property_OldKiwi, Hilbert Space_OldKiwi, Histogram Density Estimation_OldKiwi, Impurity_OldKiwi, Informative Prior_OldKiwi, Kernel Functions_OldKiwi, Lagrange Multipliers_OldKiwi, LUT - Look-Up Table_OldKiwi.
- 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].
- 2008/04/08 -- Added the section 'Different types of clustering algorithms and their references' on the Clustering_OldKiwi page.
- 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
- 2008/04/12 -- Describe algorithms to find minimum spanning tree - Prim & Kruskal & Comparison Lecture 24_OldKiwi Clustering and Hierarchical Clustering_OldKiwi Discussion_OldKiwi
- 2008/04/12 -- Add a link to download Matlab code to find MST Lecture 23_OldKiwi Spanning Trees_OldKiwi Discussion_OldKiwi
- 2008/04/07 -- added animation to Lecture 22 - Decision Trees and Clustering_OldKiwi showing how moving a training point can affect the cluster.
- 2008/04/08 -- started Lecture 23 - Spanning Trees_OldKiwiwith definitions of terms
- 2008/04/07 -- Added a page on Naive Bayes_OldKiwi Classification, including Matlab source for the figures.
- 2008/04/07, 3:01 pm -- Added a page instructing how to insert example Matlab_OldKiwi code. Check it out everyone, it's easy!
- 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to Glossary_OldKiwi
- 2008/04/07 -- Linked the advantages and disadvantages of non-parametric techniques, a useful lecture of KNN, and the comparison Parzen study websites in Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_OldKiwi
- 2008/04/07 -- Added non-parametric techniques Course Topics_OldKiwi KNN Algorithm_OldKiwi
- 2008/04/12 -- Created related websites and linked the websites of MST,Prim,Kruskal,Baruvka algorithms in Lecture_24_-Clustering_and_Hierarchical_Clustering_OldKiwi.
- 2008/04/07 -- Added references to Decision Tree_OldKiwi
- 2008/04/07 -- Updated Course topic Metrics and Similarity Measures_OldKiwi and created course topic K continuous derivatives_OldKiwi
- 2008/04/08 -- Updated Lecture 23 - Spanning Trees_OldKiwi (All texts and Figure 3-1, 3-2, and 3-3 of Graphical clustering methods)
- 2008/04/16 -- Created Lecture 25 - Clustering Algorithms_OldKiwi (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
- 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.
- 2008/04/07 -- Attempted to upload a .avi video for Bayes_Decision_Rule_OldKiwi. After finding that this host will not accept the files, and finding that I cannot embed a YouTube player, I created an image to represent the video and posted to the link on the Bayes_Decision_Rule_OldKiwi page.
- 2008/04/10 -- Created a page Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi. Created diagrams to illustrate the various means of representation of hierarchical clustering and included them on the page.
- 2008/04/10 -- Posted my code for the [Bayes_Decision_Rule] video and linked to the code on that page. Also linked Lecture_6_-_Discriminant_Functions_OldKiwi on the page.
- 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
- 2008/04/07 -- Added figure in Lecture 17 - Nearest Neighbors Clarification Rule and Metrics_OldKiwi illustrating different metrics. Converted some formulas to latex. Added the infinite norm metric
- 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.
- 2008/04/08 -- Added the first set of notes to Lecture 23 - Spanning Trees_OldKiwi, namely the section "Clustering Method, given the pairwise distances", with the text, a distance table, a figure showing the ideal clustering situation, and a figure presenting the case when the algorithm won't work well.
- 2008/04/16 -- Added the set of lecture notes for Lecture 25 - Clustering Algorithms_OldKiwi under the section "Clustering Methods - A summary". This includes a table for summary of Clustering methods titled "Figure 1". It also includes some text explaining defect in these methods and motivation for feature vector-based methods, which involve projection to lower dimensions. I do not provide the illustrating figures for the text, but I annotate for the same at two places.
- 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.
- 2008/04/10 -- Added two papers in Publications_OldKiwi that we discussed on class by B. King and S. Johnson.
- 2008/04/10 -- Created in the Clustering_OldKiwi section in course topics the page for Fuzzy C-means_OldKiwi.
- 2008/04/12 -- Added the remainder of notes to Lecture 24 Minimum Spanning Tree Methods (MST), including LaTex.
- 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 the Exam section, from old kiwi to new kiwi, for EC301.
- 2008/04/13 -- Ported over all materials, including PDF's pertaining to ECE 301, for 2nd Exam_OldKiwi
- 2008/04/13 -- Transferred all the contents of 3rd Exam_OldKiwi from old kiwi to the new one.
- 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.
- 2008/04/07 -- Added figures about a sample tree and entropy impurity example in Lecture 22.
- 2008/04/10 -- Added lecture and figures of spanning tree example in Lecture 23.
- 2008/04/10 -- Linked the several glossaries used in the graph theory.
- 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
- 2008/04/05 -- Moved the page and converted all formulas Geometric Series Note_OldKiwi
- 2008/04/06 -- Moved and converted ALL equations from Homework Problem 5.31_OldKiwi
- 2008/04/13 -- Created a page on Graph Algorithms_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.
- 2008/04/07 -- Created the page Editing technique_OldKiwi, a very useful technique which helps us to reduce memory and computation expenses in K-nearest neighbor method.
- 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
- 2008/04/08 -- Edited Lecture 23 - Created animated image ECE662_lect23.gif and created example in lecture notes
- 2008/04/10 -- Edited Lecture 24 - Added notes from agglomerate algorithms for hierarchical clustering
- 2008/04/03 -- Created the page for Lecture 22 - Decision Trees and Clustering_OldKiwi. Added the note from the beginning to What is clustering
- 2008/04/10 -- Added the course note and diagrams to Lecture 24 Minimum Spanning Tree Methods (MST) which are started from Minimum Spanning Tree Methods (MST) to Fig.2.
- 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
- 2008/04/11 -- Added the definitions of Minimum Spanning Trees_OldKiwi, Prim's Algorithm_OldKiwi and Kruskal's Algorithm_OldKiwi to Glossary_OldKiwi
- 2008/04/11 -- Added Video Classification - State of the Art_OldKiwi in Applications of Pattern Recognition_OldKiwi
- 2008/04/07 -- Added (i.e. moved) subsection COMPARISION OF MLE AND BAYESIAN PARAMETER ESTIMATION to the Parametric Estimators_OldKiwi.
- 2008/04/07 -- Added (i.e. moved) subsection PARAMETER ESTIMATION to the Parametric Estimators_OldKiwi.
- 2008/04/16- Added subsection THE NEYMAN PEARSON FRAMEWORK to the Bayesian Decision Theory_OldKiwi.
- 2008/04/16- Added subsection A BAYES CLASSIFIER EXAMPLE to the Bayesian Decision Theory_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}