(The ChangeLog)
 
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[[User:Bsisman|Bunyamin Sisman]]
 
[[User:Bsisman|Bunyamin Sisman]]
* 2007/10/02 -- Created a new page on [[Kernels_OldKiwi]].
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* 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 [[Lecture 3 - Bayes classification_OldKiwi#Bayes_rule|Bayes rule]] equation <3,4,5> and figures <1,2,3>.
 
* 2007/10/03 -- Edited [[Lecture 3 - Bayes classification_OldKiwi]] by adding the section on [[Lecture 3 - Bayes classification_OldKiwi#Bayes_rule|Bayes rule]] equation <3,4,5> and figures <1,2,3>.
  
 
== The ChangeLog ==
 
== The ChangeLog ==
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[[User:kim458|KyoHyouk Kim]]
 +
* 2008/04/25  -- Addeda pattern recognition application field in remote sensing
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[[User:akamra|Ashish Kamra]]
 +
* 2008/04/20  -- Added description of the k-centers clustering problem [[Clustering_Algorithms_OldKiwi]]
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* 2008/04/20  -- Added link to past conferences on application of machine learning techniques to anomaly detection [[Applications_of_Pattern_Recognition_OldKiwi]]
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* 2008/04/28  -- Added link to an excellent survey paper on outlier detection methodologies [[Applications_of_Pattern_Recognition_OldKiwi]]
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* 2008/04/28  -- Added link to an application of one class classification in anomaly detection [[Applications_of_Pattern_Recognition_OldKiwi]]
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[[User:Bsisman|Bunyamin Sisman]]
 
[[User:Bsisman|Bunyamin Sisman]]
* 2008/04/06 -- Added some explanations and a figure to lecture 22 for clustering.
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* 2008/04/24  -- Added a page with some figures for [https://balthier.ecn.purdue.edu/index.php/Mixture_Models Mixture Models] to Glossary
* 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.
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[[User:wlunga|Dalton Lunga]]
 
[[User:wlunga|Dalton Lunga]]
* 2008/04/01 -- Added the topic: [[Graphical models_OldKiwi]] and gave a description of how these models link to decision trees.
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* 2008/04/17  -- Added last part of Lecture on 26 [[Statistical Clustering Methods_OldKiwi]]
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* 2008/04/24  -- Added more notes on clustering algorithms
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* 2008/04/24  -- Added link to clustering paper(Clustering Sequences with HMM)[[Clustering Sequences_OldKiwi]]
  
[[User:hsantosv|Hector Santos]]
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[[User:ebernard|Elvin Bernard]]
* 2008/04/03 -- Added figure examples for hierarchical and partition clusters in [[Lecture 22 - Decision Trees and Clustering_OldKiwi]]
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* 2008/04/24 -- Created new pages or moved old pages for the [[Glossary_OldKiwi]] items: [[Euclidean Distance (ED)_OldKiwi]], [[Generalized Rayleigh Quotient_OldKiwi]], [[KNN-K Nearest Neighbor_OldKiwi]], [[Partial Differential Equations (PDE)_OldKiwi]], [[Prior_OldKiwi]], [[Pruning_OldKiwi]], [[Quadratic Programming Problem_OldKiwi]], [[Reinforcement learning_OldKiwi]], [[Slack Variable_OldKiwi]], [[Taxicab Distance_OldKiwi]], [[Testing_OldKiwi]], [[Training_OldKiwi]], [[Unbiased Estimator_OldKiwi]], [[Uninformative Prior_OldKiwi]], [[Unsupervised learning_OldKiwi]]. 
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[[User:gsrivast|Gaurav Srivastava]]
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* 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]]
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[[User:Jinyoung1|Jinyoung Kim]]
 +
* 2008/04/24 -- Summarize a paper which employs Neural Netowrk in calibrating scanners [[Artificial Neural Networks_OldKiwi]]- Application of Neural Networks to Color Calibration
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* 2008/04/24 -- Describe my experiences on Neural Network to detect sonar singlas in sea [[Talk:Artificial Neural Networks_OldKiwi]]
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[[User:yoder2|Josiah Yoder]]
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* 2008/04/24 -- Added the text and equations for [[Lecture 28 - Final lecture_OldKiwi]].  There are lots of figures that still need to be created!
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[[User:gong1|Jungtag Gong]]
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* 2008/04/20 -- Linked the website of a tutorial on clustering and K-mean, Fuzzy C-means, Hierarchical clustering and clustering as mixture of gaussian methods at the clustering in the [[Glossary_OldKiwi]].
 +
 
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[[User:han1|Kihwan Han]]
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* 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_OldKiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
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* 2008/04/22 -- Created [[Lecture 27 - Clustering by finding valleys of densities_OldKiwi]] and filled in section  (PDE based valley seeking) all texts and equations (3-1) ~ (3-30)
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[[User:kng|Kaki Ng]]
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* 2008/04/21 -- Added a reference library for tools
  
 
[[User:huffmalm|Landis Huffman]]
 
[[User:huffmalm|Landis Huffman]]
* 2008/04/03 -- Added a link to a good SVM resource on the [[Homework 2_OldKiwi]] pageAlso copied all SVM resources listed on the [[Homework 2_OldKiwi]] page to the [[Support Vector Machines_OldKiwi]] page.
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* 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.
* 2008/04/03 -- Directed some links on the [[Glossary_OldKiwi]] page to the appropriate pages.
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* 2008/04/25 -- Created diagrams for [[Lecture_28_-_Final_lecture_OldKiwi]] showing the dromadaire turning into a chamaeuIf I knew how, I would have mediaWiki resize these images.  Ugh!
 +
 
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[[User:lbachega|Leonardo Bachega]]
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* 2008/04/20 -- Created whole article about Multidimensional Scaling ([[MDS_OldKiwi]]). Formated all equations in Latex and added references.
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* 2008/04/28 -- Create article about non-linear spectral methods [[Nonlinear Methods: When Data Embedded in Low-Dimensional Non-Linear Manifold_OldKiwi]], and added the articles for [[Isomaps_OldKiwi]] and [[Laplacian Eigenmaps_OldKiwi]].
  
 
[[User:guptam|Madhur Gupta]]
 
[[User:guptam|Madhur Gupta]]
* 2008/04/01 -- Created the page for [[Lecture 21 - Decision Trees(Continued)_OldKiwi]]. Added the example of fruits, and Three crucial questions to answer.
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* 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.
* 2008/04/03 -- 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.
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* 2008/04/22 -- Added lecture notes for [[Lecture 27 - Clustering by finding valleys of densities_OldKiwi]] on the first two sections namely " Clustering by finding valleys of densities" and " Graph based implementation". I did not contribute any figure, but annotate a place where it may be inserted.
  
 
[[User:Mboschru|Marc Bosch]]
 
[[User:Mboschru|Marc Bosch]]
* 2008/04/06 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Hierarchical clustering_OldKiwi]].
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* 2008/04/20 -- Added four papers in [[Publications_OldKiwi]] about Optimization-based clustering methods.
* 2008/04/03 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Mixture of Gaussians_OldKiwi]].
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* 2008/04/20 -- Added two papers in [[Publications_OldKiwi]] about Hierarchical Clustering Methods.
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* 2008/04/20 -- Added five papers in [[Publications_OldKiwi]] about Density-based Clustering methods.
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* 2008/04/20 -- Added two papers in [[Publications_OldKiwi]] about Grid-Based Clustering Methods.
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* 2008/04/20 -- Added two papers in [[Publications_OldKiwi]] about Graph-based Clustering Methods.
  
[[User:ynimmaga|Yamini Nimmagadda]]
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[[User:nbedwell|Neil Bedwell]]
* 2008/04/01 -- Created the figure of a decision tree example in [[Lecture 21 - Decision Trees(Continued)_OldKiwi]].
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* 2008/04/23 -- Corrected LaTex equations in [[Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window)_OldKiwi]], so that all are now correctly displayed.  
* 2008/04/01 -- Defined and added different impurity types and latex equations in [[Lecture 21 - Decision Trees(Continued)_OldKiwi]].
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* 2008/04/01 -- Added the definitions of [[pruning_OldKiwi]] and [[impurity_OldKiwi]] to [[Glossary_OldKiwi]]
+
  
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[[User:Qxia|Qian Xia]]
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* 2008/04/19 -- Add a comment in discussion of [[Lecture 23 - Spanning Trees_OldKiwi]] on the definition of path given in class.
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* 2008/04/21 -- Edited [[Lecture 26 - Clustering Algorithms_OldKiwi]] by adding the section on advantages of "partitional clustering".
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* 2008/04/21 -- Edited [[Lecture 27 - Statistical Clustering Methods_OldKiwi]] by adding the section on how the separation rule obtained by mixture of Gaussians model can be generalized to future unseen data.
  
[[User:gsrivast|Gaurav Srivastava]]
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[[User:Rsriniva|Rahul Srinivasa Raghavan]]
* 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[http://balthier.ecn.purdue.edu/index.php/Image:Node.jpg] and Balance.jpg[http://balthier.ecn.purdue.edu/index.php/Image:Balance.jpg].
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* 2008/04/20 -- Added a new page on [[Influence Map_OldKiwi]], and added materials under the same.
  
[[User:jinha|Jinha Jung]]
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[[User:park200|Seong Jun Park]]
* 2008/04/03 -- Create a new page on [[Convert LIBSVM to FANN python_OldKiwi]]
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* 2008/04/21 -- Added and modified the square error in Lecture 26 Statistical clustering methods.
* 2008/04/03 -- Add link on [[Tools_OldKiwi]]
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*  2008/04/21 -- Added an image about Defining Distances Between Clusters in Lecture 24.
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*  2008/04/26 -- Added two images about of Valley Seeking, and modified an equation to be wrong in Lecture 27.
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* 2008/04/26 -- Added part of an equation and bayes error rate graph for Nearest Neighbor in Lecture 19.
  
[[User:jinyoung|Jinyoung Kim]]
 
* 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]]
 
  
[[User:gong1|Jungtag Gong]]
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[[User:hu|Shuowen Hu]]
* 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to [[Glossary_OldKiwi]]
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* 2008/04/20 -- Created Figure 5 in Lecture 25 illustrating natural clustering using the value of J.
 +
* 2008/04/20 -- Added Figure 6 in Lecture 25 showing that squared error criterion is good for compact clusters, but sensitive to outliers.
  
[[User:tchen|Thomas Chen]]
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[[User:slitkouh|Sahm Litkouhi]]
* 2008/04/02 -- Edited Lecture 21 - added comment on CART Methodology
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* 2008/04/24 -- Added example and link to a paper I authored about 3 feature-based automotive [[Feature Extraction_OldKiwi|lane recognition]].
* 2008/04/02 -- Edited Lecture 21 - created image ECE662_lect21_stopping.jpg and comments about it at the bottom of the page
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* 2008/04/24 -- Moved [[Backpropagation Learning Algorithm_OldKiwi]] from old Kiwi to new glossary.
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* 2008/04/24 -- Added link to ROC curves in glossary. Moved [[Regularization_OldKiwi]] from the old Kiwi into glossary, and added link from [[Overfitting_OldKiwi]].
  
[[User:park200|Seong Jun Park]]
 
* 2008/04/04 -- Moved several images about Neural Network from old kiwi website to the lecture 13
 
  
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[[User:sraghav|Saranya Raghavan]]
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* 2008/04/25 -- Added Figure 1 (Simple Clustering Example) and Figure 2 (Effect of Relative Scaling) to [[Clustering_OldKiwi]] page, and provided a brief description of each figure in relation to the concepts being discussed.
  
[[User:svenkata|Singanallur V Venkatakrishnan]]
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[[User:srudolph|Stephen Rudolph]]
*Moved the page and converted all formulas [[Geometric Series Note_OldKiwi]]
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* 2008/04/17 -- Moved new assignment information from lecture notes to dedicated [[Homework 3_OldKiwi]] page and updated the information.
 +
 
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[[User:svenkata|Singanallur Venkatakrishnan]]
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* 2008/04/20 -- [[Topological Sort and Strongly Connected Components_OldKiwi]] page added in continuation to my earlier page on graph algos
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[[User:tha|Thanh Huy Ha]]
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* 2008/04/25 -- Created the page [[Recommendations for nonlinear discrimination methods_OldKiwi]].
 +
 
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[[User:tchen|Thomas Chen]]
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* 2008/04/23 -- Created animated gif ECE662_lect27_smear.gif for lecture 27
 +
* 2008/04/23 -- Added PDE's to the glossary
  
 
[[User:chuangt|Tzu-Cheng Chuang]]
 
[[User:chuangt|Tzu-Cheng Chuang]]
* 2008/04/03 -- Created the page for [[Lecture 22 - Decision Trees and Clustering_OldKiwi]]. Added the note from the beginning to [[Lecture 22 - Decision Trees and Clustering_OldKiwi#What is clustering?|What is clustering]]
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* 2008/04/17 -- Edited [[Lecture 26 - Statistical Clustering Methods_OldKiwi| Lecture 26]] by adding figure 1 and figure 3.
 +
* 2008/04/22 -- Edited [[Lecture_27_-_Clustering_by_finding_valleys_of_densities _OldKiwi| Lecture 27]] by adding figure 1,2 and 3.
 +
 
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[[User:ynimmaga|Yamini Nimmagadda]]
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* 2008/04/25 -- Added Links for papers and tutorials on k-means clustering in [[Publications_OldKiwi]] section of [[References_OldKiwi]].
 +
* 2008/04/25 -- Added [[Neural Networks using Genetic Algorithms_OldKiwi]]
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[[User:su0|Yun-Ting Su]]
 +
 
 +
* 2008/04/20 -- Added Figure 3 in [[Lecture 25 - Clustering Algorithms_OldKiwi]] illustrating how projections effect the result of clustering.
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* 2008/04/20 -- Added Figure 4 in [[Lecture 25 - Clustering Algorithms_OldKiwi]] illustrating the algorithm for clustering from feature vectors.

Latest revision as of 12:21, 28 April 2008

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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.

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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

KyoHyouk Kim

  • 2008/04/25 -- Addeda pattern recognition application field in remote sensing

Ashish Kamra

Bunyamin Sisman

  • 2008/04/24 -- Added a page with some figures for Mixture Models to Glossary

Dalton Lunga

Elvin Bernard

Gaurav Srivastava

  • 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

Jinyoung Kim

Josiah Yoder

Jungtag Gong

  • 2008/04/20 -- Linked the website of a tutorial on clustering and K-mean, Fuzzy C-means, Hierarchical clustering and clustering as mixture of gaussian methods at the clustering in the Glossary_OldKiwi.

Kihwan Han


Kaki Ng

  • 2008/04/21 -- Added a reference library for tools

Landis Huffman

  • 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.
  • 2008/04/25 -- Created diagrams for Lecture_28_-_Final_lecture_OldKiwi showing the dromadaire turning into a chamaeu. If I knew how, I would have mediaWiki resize these images. Ugh!

Leonardo Bachega

Madhur Gupta

  • 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.
  • 2008/04/22 -- Added lecture notes for Lecture 27 - Clustering by finding valleys of densities_OldKiwi on the first two sections namely " Clustering by finding valleys of densities" and " Graph based implementation". I did not contribute any figure, but annotate a place where it may be inserted.

Marc Bosch

Neil Bedwell

Qian Xia

Rahul Srinivasa Raghavan

Seong Jun Park

  • 2008/04/21 -- Added and modified the square error in Lecture 26 Statistical clustering methods.
  • 2008/04/21 -- Added an image about Defining Distances Between Clusters in Lecture 24.
  • 2008/04/26 -- Added two images about of Valley Seeking, and modified an equation to be wrong in Lecture 27.
  • 2008/04/26 -- Added part of an equation and bayes error rate graph for Nearest Neighbor in Lecture 19.


Shuowen Hu

  • 2008/04/20 -- Created Figure 5 in Lecture 25 illustrating natural clustering using the value of J.
  • 2008/04/20 -- Added Figure 6 in Lecture 25 showing that squared error criterion is good for compact clusters, but sensitive to outliers.

Sahm Litkouhi


Saranya Raghavan

  • 2008/04/25 -- Added Figure 1 (Simple Clustering Example) and Figure 2 (Effect of Relative Scaling) to Clustering_OldKiwi page, and provided a brief description of each figure in relation to the concepts being discussed.

Stephen Rudolph

  • 2008/04/17 -- Moved new assignment information from lecture notes to dedicated Homework 3_OldKiwi page and updated the information.

Singanallur Venkatakrishnan

Thanh Huy Ha

Thomas Chen

  • 2008/04/23 -- Created animated gif ECE662_lect27_smear.gif for lecture 27
  • 2008/04/23 -- Added PDE's to the glossary

Tzu-Cheng Chuang

  • 2008/04/17 -- Edited Lecture 26 by adding figure 1 and figure 3.
  • 2008/04/22 -- Edited Lecture 27 by adding figure 1,2 and 3.

Yamini Nimmagadda

Yun-Ting Su

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva