(→‎The ChangeLog)
 
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[[User:Bsisman|Bunyamin Sisman]]
 
[[User:Bsisman|Bunyamin Sisman]]
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* 2007/10/02 -- Created a new page on [[Kernels_Old Kiwi]].
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* 2007/10/02 -- Created a new page on [[Image Processing_Old Kiwi]].
 
* 2007/10/03 -- Edited [[Lecture 3 - Bayes classification_Old Kiwi]] by adding the section on [[Lecture 3 - Bayes classification_Old Kiwi#Bayes_rule|Bayes rule]] equation <3,4,5> and figures <1,2,3>.
 
* 2007/10/03 -- Edited [[Lecture 3 - Bayes classification_Old Kiwi]] by adding the section on [[Lecture 3 - Bayes classification_Old Kiwi#Bayes_rule|Bayes rule]] equation <3,4,5> and figures <1,2,3>.
  
 
== The ChangeLog ==
 
== The ChangeLog ==
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[[User:KyoHyouk|KyoHyouk Kim]]
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[[User:kim458|KyoHyouk Kim]]
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* 2008/04/07 -- Add links for clustering techniques
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* 2008/04/25  -- Addeda pattern recognition application field in remote sensing
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* 2008/04/07 -- Add figure of impurity function on Lecture 21
+
  
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[[User:arora6|Abhishek Arora]]
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[[User:akamra|Ashish Kamra]]
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* 2008/04/07 -- Moved the page and converted all equations and uploaded figures [[SVM-2D_Old Kiwi]]
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* 2008/04/20  -- Added description of the k-centers clustering problem [[Clustering_Algorithms_Old Kiwi]]
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* 2008/04/07 -- Moved the page [[Bayes Example_Old Kiwi]]
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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_Old Kiwi]]
 +
* 2008/04/28  -- Added link to an excellent survey paper on outlier detection methodologies [[Applications_of_Pattern_Recognition_Old Kiwi]]
 +
* 2008/04/28  -- Added link to an application of one class classification in anomaly detection [[Applications_of_Pattern_Recognition_Old Kiwi]]
  
 
[[User:Bsisman|Bunyamin Sisman]]
 
[[User:Bsisman|Bunyamin Sisman]]
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* 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
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* 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.
+
  
 
[[User:wlunga|Dalton Lunga]]
 
[[User:wlunga|Dalton Lunga]]
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* 2008/04/01 -- Added the topic: [[Graphical models_Old Kiwi]] 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_Old Kiwi]]
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* 2008/04/08 -- Added partial class notes for Lecture 23 - [[Spanning Trees‎_Old Kiwi]] [[Graphical Clustering Methods_Old Kiwi]]
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* 2008/04/24 -- Added more notes on clustering algorithms
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* 2008/04/08 -- Added partial class notes for Lecture 23 - [[Spanning Trees‎_Old Kiwi]] [[Graph Theory Clustering_Old Kiwi]]
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* 2008/04/24 -- Added link to clustering paper(Clustering Sequences with HMM)[[Clustering Sequences_Old Kiwi]]
  
 
[[User:ebernard|Elvin Bernard]]
 
[[User:ebernard|Elvin Bernard]]
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* 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]].
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* 2008/04/24 -- Created new pages or moved old pages for the [[Glossary_Old Kiwi]] items: [[Euclidean Distance (ED)_Old Kiwi]], [[Generalized Rayleigh Quotient_Old Kiwi]], [[KNN-K Nearest Neighbor_Old Kiwi]], [[Partial Differential Equations (PDE)_Old Kiwi]], [[Prior_Old Kiwi]], [[Pruning_Old Kiwi]], [[Quadratic Programming Problem_Old Kiwi]], [[Reinforcement learning_Old Kiwi]], [[Slack Variable_Old Kiwi]], [[Taxicab Distance_Old Kiwi]], [[Testing_Old Kiwi]], [[Training_Old Kiwi]], [[Unbiased Estimator_Old Kiwi]], [[Uninformative Prior_Old Kiwi]], [[Unsupervised learning_Old Kiwi]]. 
−
 
+
−
[[User:zhu0|Fengqing Zhu]]
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−
* 2008/04/07 -- Added resources to Content-based Image/video Retrieval in [[Image Processing_Old Kiwi]]
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−
* 2008/04/07 -- Added references to [[Decision Tree_Old Kiwi]]  
+
  
 
[[User:gsrivast|Gaurav Srivastava]]
 
[[User:gsrivast|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[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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* 2008/04/18 -- 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_Old Kiwi]]) principle. Click here -->> [[MDL_Old Kiwi]]
−
* 2008/04/08 -- Added the section 'Different types of clustering algorithms and their references' on the [[Clustering_Old Kiwi]] page.
+
  
−
[[User:hsantosv|Hector Santos]]
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[[User:Jinyoung1|Jinyoung Kim]]
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* 2008/04/03 -- Added figure examples for hierarchical and partition clusters in [[Lecture 22 - Decision Trees and Clustering_Old Kiwi]]
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* 2008/04/24 -- Summarize a paper which employs Neural Netowrk in calibrating scanners [[Artificial Neural Networks_Old Kiwi]]- 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_Old Kiwi]]
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[[User:jinha|Jinha Jung]]
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* 2008/04/03 -- Create a new page on [[Convert LIBSVM to FANN python_Old Kiwi]]
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* 2008/04/03 -- Add link on [[Tools_Old Kiwi]]
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[[User:jinyoung|Jinyoung Kim]]
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* 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]] 
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* 2008/04/05 -- Describe advantage and disadvantage of K-NN algorithm [[Course Topics_Old Kiwi]]  [[kNN Algorithm_Old Kiwi]] [[Discussion_Old Kiwi]]
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−
 
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[[User:jcillier|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 Kiwi]]with definitions of terms
+
  
 
[[User:yoder2|Josiah Yoder]]
 
[[User:yoder2|Josiah Yoder]]
−
* 2008/04/07 -- Added a page on [[Naive Bayes_Old Kiwi]]  Classification, including Matlab source for the figures.
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* 2008/04/24 -- Added the text and equations for [[Lecture 28 - Final lecture_Old Kiwi]]. There are lots of figures that still need to be created!
−
* 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!
+
  
 
[[User:gong1|Jungtag Gong]]
 
[[User:gong1|Jungtag Gong]]
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* 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to [[Glossary_Old Kiwi]]
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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_Old Kiwi]].
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* 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]]
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−
* 2008/04/07 -- Added non-parametric techniques [[Course Topics_Old Kiwi]] [[KNN Algorithm_Old Kiwi]]  
+
  
 +
[[User:han1|Kihwan Han]]
 +
* 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_Old Kiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
 +
* 2008/04/22 -- Created [[Lecture 27 - Clustering by finding valleys of densities_Old Kiwi]] and filled in section  (PDE based valley seeking) all texts and equations (3-1) ~ (3-30)
  
−
[[User:kng|KaKi Ng]]
 
−
* 2008/04/07 -- Added references to [[Decision Tree_Old Kiwi]]
 
  
−
[[User:han1|Kihwan Han]]
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[[User:kng|Kaki Ng]]
−
* 2008/04/07 -- Updated Course topic [[Metrics and Similarity Measures_Old Kiwi]] and created course topic [[K continuous derivatives_Old Kiwi]]
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* 2008/04/21 -- Added a reference library for tools
−
* 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)
+
  
 
[[User:huffmalm|Landis Huffman]]
 
[[User:huffmalm|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.
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* 2008/04/17 -- Created a page for [[Lecture_26_-_Statistical_Clustering_Methods_Old Kiwi]] 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_Old Kiwi]] page to the appropriate pages.
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* 2008/04/25 -- Created diagrams for [[Lecture_28_-_Final_lecture_Old Kiwi]] showing the dromadaire turning into a chamaeu.  If I knew how, I would have mediaWiki resize these images.  Ugh!
−
* 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.
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−
* 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.
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* 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.
+
  
 
[[User:lbachega|Leonardo Bachega]]
 
[[User:lbachega|Leonardo Bachega]]
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* 2008/04/06 -- Added Parzen Window classification code written in Scilab
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* 2008/04/20 -- Created whole article about Multidimensional Scaling ([[MDS_Old Kiwi]]). Formated all equations in Latex and added references.
−
* 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]].
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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_Old Kiwi]], and added the articles for [[Isomaps_Old Kiwi]] and [[Laplacian Eigenmaps_Old Kiwi]].
−
* 2008/04/07 -- Fixed formating on the page [[Lecture 22 - Decision Trees and Clustering_Old Kiwi]]
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−
* 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
+
  
 
[[User:guptam|Madhur Gupta]]
 
[[User:guptam|Madhur Gupta]]
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* 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.
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* 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.
−
* 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.
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* 2008/04/22 -- Added lecture notes for [[Lecture 27 - Clustering by finding valleys of densities_Old Kiwi]] 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.
−
* 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.
+
  
 
[[User:Mboschru|Marc Bosch]]
 
[[User:Mboschru|Marc Bosch]]
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* 2008/04/06 -- Created in the [[Clustering_Old Kiwi]] section in course topics the page for [[Hierarchical clustering_Old Kiwi]].
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* 2008/04/20 -- Added four papers in [[Publications_Old Kiwi]] about Optimization-based clustering methods.
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* 2008/04/03 -- Created in the [[Clustering_Old Kiwi]] section in course topics the page for [[Mixture of Gaussians_Old Kiwi]].
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* 2008/04/20 -- Added two papers in [[Publications_Old Kiwi]] about Hierarchical Clustering Methods.
−
* 2008/04/10 -- Added two papers in [[Publications_Old Kiwi]] that we discussed on class by B. King and S. Johnson.
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* 2008/04/20 -- Added five papers in [[Publications_Old Kiwi]] about Density-based Clustering methods.
−
* 2008/04/10 -- Created in the [[Clustering_Old Kiwi]] section in course topics the page for [[Fuzzy C-means_Old Kiwi]].
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* 2008/04/20 -- Added two papers in [[Publications_Old Kiwi]] about Grid-Based Clustering Methods.
−
[[User:Pclough|Patrick Clough]]
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* 2008/04/20 -- Added two papers in [[Publications_Old Kiwi]] about Graph-based Clustering Methods.
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* 2008/04/07 -- Moved the page [[Supervised learning_Old Kiwi]].
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* 2008/04/07 -- Adjusted the width of an image in [[Linear Discriminant Functions_Old Kiwi]]
+
  
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[[User:rsriniva|Rahul Srinivasa Raghavan]]
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[[User:nbedwell|Neil Bedwell]]
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* 2008/04/06 -- Ported over all PDF's, pertaining to [[1st Exam_Old Kiwi]] of EC301, from old kiwi to new kiwi.
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* 2008/04/23 -- Corrected LaTex equations in [[Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window)_Old Kiwi]], so that all are now correctly displayed.  
−
* 2008/04/06 -- Ported over contents, and added some materials pertaining to 2nd Exam, from old kiwi to new kiwi, for EC301.
+
  
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[[User:sraghav|Saranya Raghavan]]
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[[User:Qxia|Qian Xia]]
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* 2008/04/06 -- Added link to commercial and free software for Classification using Decision Trees ([[Tools_Old Kiwi]]).
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* 2008/04/19 -- Add a comment in discussion of [[Lecture 23 - Spanning Trees_Old Kiwi]] on the definition of path given in class.
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* 2008/04/06 -- Added Publication #18 (A Scalable Decision Tree Algorithm) to [[Publications_Old Kiwi]], and provided an abstract.
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* 2008/04/21 -- Edited [[Lecture 26 - Clustering Algorithms_Old Kiwi]] by adding the section on advantages of "partitional clustering".
 +
* 2008/04/21 -- Edited [[Lecture 27 - Statistical Clustering Methods_Old Kiwi]] by adding the section on how the separation rule obtained by mixture of Gaussians model can be generalized to future unseen data.
 +
 
 +
[[User:Rsriniva|Rahul Srinivasa Raghavan]]
 +
* 2008/04/20 -- Added a new page on [[Influence Map_Old Kiwi]], and added materials under the same.
  
 
[[User:park200|Seong Jun Park]]
 
[[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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* 2008/04/21 -- Added and modified the square error in Lecture 26 Statistical clustering methods.
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* 2008/04/06 -- Added lecture notes about image segmentation.
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* 2008/04/21 -- Added an image about Defining Distances Between Clusters in Lecture 24.  
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* 2008/04/07 -- Added figures about a sample tree and entropy impurity example in Lecture 22.
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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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* 2008/04/10 -- Added lecture and figures of spanning tree example in Lecture 23.
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* 2008/04/26 -- Added part of an equation and bayes error rate graph for Nearest Neighbor in Lecture 19.
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* 2008/04/10 -- Linked the several glossaries used in the graph theory.
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[[User:hu|Shuowen Hu]]
 
[[User:hu|Shuowen Hu]]
−
* 2008/04/06 -- Added Figure 5 in Lecture 22 illustrating clustering, specifically hierarchial clustering with human pictures
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* 2008/04/20 -- Created Figure 5 in Lecture 25 illustrating natural clustering using the value of J.
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* 2008/04/06 -- Added figure labels for all pictures in Lecture 22
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* 2008/04/20 -- Added Figure 6 in Lecture 25 showing that squared error criterion is good for compact clusters, but sensitive to outliers.
  
−
[[User:svenkata|Singanallur V Venkatakrishnan]]
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[[User:slitkouh|Sahm Litkouhi]]
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* 2008/05/05 -- Moved the page and converted all formulas [[Geometric Series Note_Old Kiwi]]
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* 2008/04/24 -- Added example and link to a paper I authored about 3 feature-based automotive [[Feature Extraction_Old Kiwi|lane recognition]].
−
* 2008/05/06 -- Moved and converted ALL equations from [[Homework Problem 5.31_Old Kiwi]]
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* 2008/04/24 -- Moved [[Backpropagation Learning Algorithm_Old Kiwi]] from old Kiwi to new glossary.
 +
* 2008/04/24 -- Added link to ROC curves in glossary.  Moved [[Regularization_Old Kiwi]] from the old Kiwi into glossary, and added link from [[Overfitting_Old Kiwi]].
 +
 
 +
 
 +
[[User:sraghav|Saranya Raghavan]]
 +
* 2008/04/25 -- Added Figure 1 (Simple Clustering Example) and Figure 2 (Effect of Relative Scaling) to [[Clustering_Old Kiwi]] page, and provided a brief description of each figure in relation to the concepts being discussed.
  
 
[[User:srudolph|Stephen Rudolph]]
 
[[User:srudolph|Stephen Rudolph]]
−
* 2008/04/06 -- Created a category for [http://balthier.ecn.purdue.edu/index.php/Category:Lecture_Notes lecture notes] and added all lectures to that category.
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* 2008/04/17 -- Moved new assignment information from lecture notes to dedicated [[Homework 3_Old Kiwi]] page and updated the information.
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* 2008/04/06 -- Created a category for [http://balthier.ecn.purdue.edu/index.php/Category:Cleanup articles that need cleanup] and added a lecture to it.
+
 
−
* 2008/04/06 -- Created a category page for [http://balthier.ecn.purdue.edu/index.php/Category:Optimization optimization].
+
[[User:svenkata|Singanallur Venkatakrishnan]]
 +
* 2008/04/20 -- [[Topological Sort and Strongly Connected Components_Old Kiwi]] page added in continuation to my earlier page on graph algos
  
 
[[User:tha|Thanh Huy Ha]]
 
[[User:tha|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.
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* 2008/04/25 -- Created the page [[Recommendations for nonlinear discrimination methods_Old Kiwi]].
  
 
[[User:tchen|Thomas Chen]]
 
[[User:tchen|Thomas Chen]]
−
* 2008/04/02 -- Edited Lecture 21 - added comment on CART Methodology
+
* 2008/04/23 -- Created animated gif ECE662_lect27_smear.gif for lecture 27
−
* 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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* 2008/04/23 -- Added PDE's to the glossary
−
* 2008/04/08 -- Edited Lecture 23 - Created animated image ECE662_lect23.gif and created example in lecture notes
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* 2008/04/10 -- Edited Lecture 24 - Added notes from agglomerate algorithms for hierarchical clustering
+
  
 
[[User:chuangt|Tzu-Cheng Chuang]]
 
[[User:chuangt|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 [[Lecture 22 - Decision Trees and Clustering_Old Kiwi#What is clustering?|What is clustering]]
+
* 2008/04/17 -- Edited [[Lecture 26 - Statistical Clustering Methods_Old Kiwi| Lecture 26]] by adding figure 1 and figure 3.
−
* 2008/04/10 -- Added the course note and diagrams to [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] which are started from Minimum Spanning Tree Methods (MST) to Fig.2.
+
* 2008/04/22 -- Edited [[Lecture_27_-_Clustering_by_finding_valleys_of_densities _Old Kiwi| Lecture 27]] by adding figure 1,2 and 3.
  
 
[[User:ynimmaga|Yamini Nimmagadda]]
 
[[User:ynimmaga|Yamini Nimmagadda]]
−
* 2008/04/01 -- Created the figure of a decision tree example in [[Lecture 21 - Decision Trees(Continued)_Old Kiwi]].
+
* 2008/04/25 -- Added Links for papers and tutorials on k-means clustering in [[Publications_Old Kiwi]] section of [[References_Old Kiwi]].
−
* 2008/04/01 -- Defined and added different impurity types and latex equations in [[Lecture 21 - Decision Trees(Continued)_Old Kiwi]].
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* 2008/04/25 -- Added [[Neural Networks using Genetic Algorithms_Old Kiwi]]
−
* 2008/04/01 -- Added the definitions of [[pruning_Old Kiwi]] and [[impurity_Old Kiwi]] to [[Glossary_Old Kiwi]]
+
  
−
[[User:mndoye|Mandoye Ndoye]]
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[[User:su0|Yun-Ting Su]]
−
* 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]].
+
  
−
[[User:su0|Yun-ting Su]]
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* 2008/04/20 -- Added Figure 3 in [[Lecture 25 - Clustering Algorithms_Old Kiwi]] illustrating how projections effect the result of clustering.
−
* 2008/04/06 -- Created Figure 6 in Lecture 22 to illustrate an example of clustering with image segmentation.
+
* 2008/04/20 -- Added Figure 4 in [[Lecture 25 - Clustering Algorithms_Old Kiwi]] illustrating the algorithm for clustering from feature vectors.
−
* 2008/04/06 -- Wrote lecture note about image segmentation to describe Figure 6 in Lecture 22
+

Latest revision as of 12:21, 28 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.

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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_Old Kiwi) principle. Click here -->> MDL_Old Kiwi

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_Old Kiwi.

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_Old Kiwi 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_Old Kiwi 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_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.
  • 2008/04/22 -- Added lecture notes for Lecture 27 - Clustering by finding valleys of densities_Old Kiwi 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_Old Kiwi 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_Old Kiwi 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

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Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett