Difference between revisions of "ECE662:ChangeLog Old Kiwi" - Rhea

Revision as of 15:21, 16 April 2008

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

• 2007/10/02 -- Created a new page on Kernels_Old Kiwi.
• 2007/10/03 -- Edited Lecture 3 - Bayes classification_Old Kiwi by adding the section on Bayes rule equation <3,4,5> and figures <1,2,3>.

The ChangeLog

KyoHyouk Kim

• 2008/04/07 -- Add links for clustering techniques
• 2008/04/07 -- Add figure of impurity function on Lecture 21

Abhishek Arora

• 2008/04/07 -- Moved the page and converted all equations and uploaded figures SVM-2D_Old Kiwi
• 2008/04/07 -- Moved the page Bayes Example_Old Kiwi

Bunyamin Sisman

• 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.

Dalton Lunga

• 2008/04/01 -- Added the topic: Graphical models_Old Kiwi and gave a description of how these models link to decision trees.
• 2008/04/08 -- Added partial class notes for Lecture 23 - Spanning Trees‎_Old Kiwi Graphical Clustering Methods_Old Kiwi
• 2008/04/08 -- Added partial class notes for Lecture 23 - Spanning Trees‎_Old Kiwi Graph Theory Clustering_Old Kiwi

Elvin Bernard

• 2008/04/07 -- Created new pages for the Glossary_Old Kiwi items: Distance_Old Kiwi, Metric_Old Kiwi, Generic Property_Old Kiwi, Hilbert Space_Old Kiwi, Histogram Density Estimation_Old Kiwi, Impurity_Old Kiwi, Informative Prior_Old Kiwi, Kernel Functions_Old Kiwi, Lagrange Multipliers_Old Kiwi, LUT - Look-Up Table_Old Kiwi.

Fengqing Zhu

• 2008/04/07 -- Added resources to Content-based Image/video Retrieval in Image Processing_Old Kiwi
• 2008/04/07 -- Added references to Decision Tree_Old Kiwi

Gaurav Srivastava

• 2008/04/02 -- Edited Lecture 21 - Decision Trees(Continued)_Old Kiwi. 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_Old Kiwi page.

Hector Santos

• 2008/04/03 -- Added figure examples for hierarchical and partition clusters in Lecture 22 - Decision Trees and Clustering_Old Kiwi

Jinha Jung

• 2008/04/03 -- Create a new page on Convert LIBSVM to FANN python_Old Kiwi
• 2008/04/03 -- Add link on Tools_Old Kiwi

Jinyoung Kim

• 2008/04/05 -- Create one example of the applicaiton of K-NN to estimatimation of time series Course Topics_Old Kiwi kNN Algorithm_Old Kiwi Discussion_Old Kiwi
• 2008/04/05 -- Describe advantage and disadvantage of K-NN algorithm Course Topics_Old Kiwi kNN Algorithm_Old Kiwi Discussion_Old Kiwi
• 2008/04/12 -- Describe algorithms to find minimum spanning tree - Prim & Kruskal & Comparison Lecture 24_Old Kiwi Clustering and Hierarchical Clustering_Old Kiwi Discussion_Old Kiwi
• 2008/04/12 -- Add a link to download Matlab code to find MST Lecture 23_Old Kiwi Spanning Trees_Old Kiwi Discussion_Old Kiwi

Johannes Cilliers

• 2008/04/07 -- added animation to Lecture 22 - Decision Trees and Clustering_Old Kiwi showing how moving a training point can affect the cluster.
• 2008/04/08 -- started Lecture 23 - Spanning Trees_Old Kiwiwith definitions of terms

Josiah Yoder

• 2008/04/07 -- Added a page on Naive Bayes_Old Kiwi Classification, including Matlab source for the figures.
• 2008/04/07, 3:01 pm -- Added a page instructing how to insert example Matlab_Old Kiwi code. Check it out everyone, it's easy!

Jungtag Gong

• 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to Glossary_Old Kiwi
• 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_Old Kiwi
• 2008/04/07 -- Added non-parametric techniques Course Topics_Old Kiwi KNN Algorithm_Old Kiwi
• 2008/04/12 -- Created related websites and linked the websites of MST,Prim,Kruskal,Baruvka algorithms in Lecture_24_-Clustering_and_Hierarchical_Clustering_Old Kiwi.

KaKi Ng

• 2008/04/07 -- Added references to Decision Tree_Old Kiwi

Kihwan Han

• 2008/04/07 -- Updated Course topic Metrics and Similarity Measures_Old Kiwi and created course topic K continuous derivatives_Old Kiwi
• 2008/04/08 -- Updated Lecture 23 - Spanning Trees_Old Kiwi (All texts and Figure 3-1, 3-2, and 3-3 of Graphical clustering methods)
• 2008/04/16 -- Created Lecture 25 - Clustering Algorithms_Old Kiwi (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)

Landis Huffman

• 2008/04/03 -- Added a link to a good SVM resource on the Homework 2_Old Kiwi page. Also copied all SVM resources listed on the Homework 2_Old Kiwi page to the Support Vector Machines_Old Kiwi page.
• 2008/04/03 -- Directed some links on the Glossary_Old Kiwi page to the appropriate pages.
• 2008/04/07 -- Attempted to upload a .avi video for Bayes_Decision_Rule_Old Kiwi. 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_Old Kiwi page.
• 2008/04/10 -- Created a page Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi. 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_Old Kiwi on the page.

Leonardo Bachega

• 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_Old Kiwi. Fixed formulas, added section structure, pointer to Scilab code: Working Parzen Window Code in Scilab_Old Kiwi.
• 2008/04/07 -- Fixed formating on the page Lecture 22 - Decision Trees and Clustering_Old Kiwi
• 2008/04/07 -- Fixed formating in several entries of the ECE662:Glossary_Old Kiwi, 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_Old Kiwi illustrating different metrics. Converted some formulas to latex. Added the infinite norm metric

Madhur Gupta

• 2008/04/01 -- Created the page for Lecture 21 - Decision Trees(Continued)_Old Kiwi. Added the example of fruits, and Three crucial questions to answer.
• 2008/04/03 -- Added to Lecture 22 - Decision Trees and Clustering_Old Kiwi 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_Old Kiwi, 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_Old Kiwi 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.

Marc Bosch

• 2008/04/06 -- Created in the Clustering_Old Kiwi section in course topics the page for Hierarchical clustering_Old Kiwi.
• 2008/04/03 -- Created in the Clustering_Old Kiwi section in course topics the page for Mixture of Gaussians_Old Kiwi.
• 2008/04/10 -- Added two papers in Publications_Old Kiwi that we discussed on class by B. King and S. Johnson.
• 2008/04/10 -- Created in the Clustering_Old Kiwi section in course topics the page for Fuzzy C-means_Old Kiwi.

Neil Bedwell

• 2008/04/12 -- Added the remainder of notes to Lecture 24 Minimum Spanning Tree Methods (MST), including LaTex.

Patrick Clough

• 2008/04/07 -- Moved the page Supervised learning_Old Kiwi.
• 2008/04/07 -- Adjusted the width of an image in Linear Discriminant Functions_Old Kiwi

Rahul Srinivasa Raghavan

• 2008/04/06 -- Ported over all PDF's, pertaining to 1st Exam_Old Kiwi 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_Old Kiwi
• 2008/04/13 -- Transferred all the contents of 3rd Exam_Old Kiwi from old kiwi to the new one.

Saranya Raghavan

• 2008/04/06 -- Added link to commercial and free software for Classification using Decision Trees (Tools_Old Kiwi).
• 2008/04/06 -- Added Publication #18 (A Scalable Decision Tree Algorithm) to Publications_Old Kiwi, and provided an abstract.
• 2008/04/16 -- Added a page on Clustering Algorithms_Old Kiwi, explaining the types of clustering methods and links to software

Seong Jun Park

• 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.

Shuowen Hu

• 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

Singanallur V Venkatakrishnan

• 2008/04/05 -- Moved the page and converted all formulas Geometric Series Note_Old Kiwi
• 2008/04/06 -- Moved and converted ALL equations from Homework Problem 5.31_Old Kiwi
• 2008/04/13 -- Created a page on Graph Algorithms_Old Kiwi

Stephen Rudolph

• 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.

Thanh Huy Ha

• 2008/04/07 -- Created the page Editing technique_Old Kiwi, a very useful technique which helps us to reduce memory and computation expenses in K-nearest neighbor method.

Thomas Chen

• 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

Tzu-Cheng Chuang

• 2008/04/03 -- Created the page for Lecture 22 - Decision Trees and Clustering_Old Kiwi. 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.

Yamini Nimmagadda

• 2008/04/01 -- Created the figure of a decision tree example in Lecture 21 - Decision Trees(Continued)_Old Kiwi.
• 2008/04/01 -- Defined and added different impurity types and latex equations in Lecture 21 - Decision Trees(Continued)_Old Kiwi.
• 2008/04/01 -- Added the definitions of pruning_Old Kiwi and impurity_Old Kiwi to Glossary_Old Kiwi
• 2008/04/11 -- Added the definitions of Minimum Spanning Trees_Old Kiwi, Prim's Algorithm_Old Kiwi and Kruskal's Algorithm_Old Kiwi to Glossary_Old Kiwi
• 2008/04/11 -- Added Video Classification - State of the Art_Old Kiwi in Applications of Pattern Recognition_Old Kiwi

Mandoye Ndoye

• 2008/04/07 -- Added (i.e. moved) subsection COMPARISION OF MLE AND BAYESIAN PARAMETER ESTIMATION to the Parametric Estimators_Old Kiwi.
• 2008/04/07 -- Added (i.e. moved) subsection PARAMETER ESTIMATION to the Parametric Estimators_Old Kiwi.
• 2008/04/16- Added subsection THE NEYMAN PEARSON FRAMEWORK to the Bayesian Decision Theory_Old Kiwi.
• 2008/04/16- Added subsection A BAYES CLASSIFIER EXAMPLE to the Bayesian Decision Theory_Old Kiwi.

Yun-ting Su

• 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