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 Image Processing_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
- 2008/04/17 -- Add link and contens for ISODATA clustering method
- 2008/04/13 -- Added some explanations, links and a animated gif for Minimum spanning tree algorithms to lecture 24.
- 2008/04/16 -- Added some explanations to Farthest Neighbor Algorithm.
- 2008/04/17 -- Created a page and added descriptions with figures for Expectation maximization.
- 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
- 2008/04/17 -- Added last part of Lecture on 26 Statistical Clustering Methods_OldKiwi
- 2008/04/17 -- Moved old pages and/or created new pages for the Glossary_OldKiwi items: Likelihood Principle_OldKiwi, Linear Discriminant Functions (LDF)_OldKiwi, Manhattan Distance_OldKiwi, Minkowski Metric_OldKiwi, MLE_OldKiwi, Nonparametric regression/density estimation_OldKiwi, Non-parametric Model_OldKiwi, Overfitting_OldKiwi, Parameter Estimation_OldKiwi, Parametric Model_OldKiwi, Patterns_OldKiwi, Parzen Window_OldKiwi, Penalty Methods_OldKiwi, Posterior_OldKiwi, Principal Component Analysis_OldKiwi.
- 2008/04/08 -- Added the section 'Different types of clustering algorithms and their references' on the Clustering_OldKiwi page.
- 2008/04/18 -- This posting is for week 14. Previous posting is for week 13. Added a new page giving a simple definition and illustrative example of Minimum Description Length (MDL_OldKiwi) principle. Click here -->> MDL_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
- 2008/04/08 -- started Lecture 23 - Spanning Trees_OldKiwiwith definitions of terms
- 2008/04/17 -- Added a page on Bayes classification_OldKiwi. Started copying material from pertinent lectures
- 2008/04/17 -- Converted my TeX notes with latex2wiki_OldKiwi to complete the text Lecture_26_-_Statistical_Clustering_Methods_OldKiwi, particularly
Clustering, Statistical Clustering Methods, and Clustering by finding valleys of densities. Further discussion and figures would still be helpful.
- 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 -> To be considered for week (april 7- april 18)
- 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)
- 2008/04/10 -- 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.
- 2008/04/17 -- Created a page for Lecture_26_-_Statistical_Clustering_Methods_OldKiwi and wrote a small description of Prof. Bouman's cluster software. I modified the diagram from the software manual to match the corrected version presented in class. I have included this diagram, a link to the cluster homepage, and a short writeup in the Lecture 26 notes.
- 2008/04/18 -- Wrote the article on Spectral Methods_OldKiwi and the article onPCA: Principal Component Analysis, linked the pre-existing Fisher Linear Discriminant_OldKiwi to the Spectral Methods page and added references in the PCA page as well as drew the 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.
- 2008/04/10 -- 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.
- 2008/04/13 -- 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.
- 2008/04/18 -- Added an example of image segmentation using a nearest neighbors algorithm with my results and a link to the laboratory.
- 2008/04/16 -- Added a page on Clustering Algorithms_OldKiwi, explaining the types of clustering methods and links to software
- 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.
- 2008/04/16 -- Created Figure 4 in Lecture 23 illustrating clustering with a graph theory approach
- 2008/04/16 -- Added figure labels for all pictures in Lecture 23
- 2008/04/13 -- Created a page on Graph Algorithms_OldKiwi
- 2008/04/10 -- Created a category page for Category:ECE662_OldKiwi and organized several pages under it.
- 2008/04/17 -- Moved new assignment information from lecture notes to dedicated Homework 3_OldKiwi page and updated the information.
- 2008/04/17 -- Created the page Leave-one-out Cross Validation_OldKiwi, a technique which helps us to choose the model for KNN or ANN claissification method.
- 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
- 2008/04/10 -- 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.
- 2008/04/17 -- Edited Lecture 26 by adding figure 1 and figure 3.
- 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
- 2008/04/16- 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.
- 2008/04/16 -- Created Figure 7 in Lecture 24 Minimum Spanning Tree Methods (MST) illustrating Farthesr Neighbor distance with similarity scale
- 2008/04/16 -- Added figure labels following by orderes for all pictures in Lecture 24 Minimum Spanning Tree Methods (MST)
