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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]].
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* 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 ==
[[User:Bsisman|Bunyamin Sisman]]
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[[User:kim458|KyoHyouk Kim]]
* 2008/03/09 -- Moved the lecture 3 from old Kiwi.
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* 2008/04/25  -- Addeda pattern recognition application field in remote sensing
  
[[User:Ebernard|Elvin Bernard]]
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[[User:akamra|Ashish Kamra]]
* 2008/03/17 -- Moved the change log from old Kiwi, for usernames kyohyouk.kim.1, madhur.gupta.1, mandoye.ndoye.1, Rahul.srinivasa.raghavan, thanh.h.ha.1, and yamini.nimmagadda.1. Combined entries made on a single day into one entry.
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* 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]]
  
[[User:Bsisman|Gaurav Srivastava]]
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[[User:Bsisman|Bunyamin Sisman]]
* 2008/03/10 -- Edited Lecture 17 to fix all the Latex formulae and other formatting so that it works with the new Kiwi.
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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
  
[[User:gong1|Jungtag Gong]]
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[[User:wlunga|Dalton Lunga]]
* 2008/03/10 -- Linked the software sites with KNN classifier,classification using SVM,demonstration Parzen window matlab codes and several matlab codes related to learning,clustering and pattern classification in [[Homework_2_OldKiwi]]
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* 2008/04/17  -- Added last part of Lecture on 26 [[Statistical Clustering Methods_OldKiwi]]
* 2008/03/16 -- Copied the KNN and Hilbert Space in the old Glossory to the new system.
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* 2008/04/24  -- Added more notes on clustering algorithms
 +
* 2008/04/24  -- Added link to clustering paper(Clustering Sequences with HMM)[[Clustering Sequences_OldKiwi]]
  
[[User:Jinyoung|Jin-Young Kim]]
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[[User:ebernard|Elvin Bernard]]
* 2008/03/09 -- Describe how to download and run Matlab Neural Networks Toolbox for classification [hw2]. Add a link to download SVM libraries in C and describe how to run them in Matlab [hw2]
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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]]. 
  
[[User:Yoder2|Josiah Yoder]]
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[[User:gsrivast|Gaurav Srivastava]]
* 2008/03/10 -- Copied the [[ECE662:ChangeLog_OldKiwi]] to the new system. Copied over all top-level pages under [[ECE662:ECE662_OldKiwi#Course Topics| Course Topics]] from old Kiwi.
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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]]
  
[[User:han47|Kihwan Han]]
+
[[User:Jinyoung1|Jinyoung Kim]]
* 2008/03/02 -- Updated Lecture 16 (K-nearest neighbor density estimate-texts,and ALL equations (1) ~ (13))(old kiwi)
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* 2008/04/24 -- Summarize a paper which employs Neural Netowrk in calibrating scanners [[Artificial Neural Networks_OldKiwi]]- Application of Neural Networks to Color Calibration
* 2008/03/10 -- Make Lecture 18.(ALL texts and ALL equations, except for figures. )
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* 2008/04/24 -- Describe my experiences on Neural Network to detect sonar singlas in sea [[Talk:Artificial Neural Networks_OldKiwi]]
  
 +
[[User:yoder2|Josiah Yoder]]
 +
* 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!
  
[[User:Kim458|Kyohyouk Kim]]
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[[User:gong1|Jungtag Gong]]
* 2008/03/09 -- Added a part of note in [Lecture 17].
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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]].
* 2008/03/22 -- Moved [Lecture 10] from Old-Kiwi
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[[User:Kng|Ka Ki Ng]]
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[[User:han1|Kihwan Han]]
* 2008/03/17 -- Copied [Lecture 13] to the new wiki page.
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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)
  
[[User:Huffmalm|Landis Huffman]]
 
* 2008/03/20 -- Ported over [[Bayes Decision Rule_OldKiwi]] page (although embedded YouTube link will not show up).
 
* 2008/03/20 -- Ported over page [[Generating Gaussian Samples_OldKiwi]] and reformatted Latex equations.
 
  
[[User:Lbachega|Leonardo Bachega]]
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[[User:kng|Kaki Ng]]
* 2008/03/11 -- Copied the [[Tools_OldKiwi]] session to the new system. Added new useful book reference [["Introduction to Data Mining" by P-N Tan, M. Steinbach and V. Kumar_OldKiwi]]
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* 2008/04/21 -- Added a reference library for tools
* 2008/03/16 -- Copied notes from [[Derivation of Fisher's Linear Discriminant_OldKiwi]] fixing some formulas, copied all the pictures. Copied notes from [[Lecture 11 - Fischer's Linear Discriminant again_OldKiwi]] fixing formula subscripts
+
  
[[User:Guptam|Madhur Gupta]]
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[[User:huffmalm|Landis Huffman]]
* 2008/03/04 -- Added notes to Lecture 17, from starting of discussion on Nearest Neighbor Classification Rule to examples of metrics in the non-discrete domain.
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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.
* 2008/03/19 -- Moved Lecture 16 to the new Kiwi, including the figures.
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* 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!
[[Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_OldKiwi]]
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[[User:lbachega|Leonardo Bachega]]
 +
* 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:Mndoye|Mandoye Ndoye]]
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[[User:guptam|Madhur Gupta]]
* 2008/03/10 -- Added in Homework/ [HW2] links to many SVM software sites ( sites with SWM codes using MATLAB , sites with SVM codes using C/C++). Also added link to sample SVM datasets for use in the HW2 if needed.
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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.
 +
* 2008/04/22 -- 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 Ruiz]]
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[[User:Mboschru|Marc Bosch]]
* 2008/03/16 -- Copied the Reference section to the new system (Journals, 2008 conferences and other universities websites). Copied some of the publications in the reference section
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* 2008/04/20 -- Added four papers in [[Publications_OldKiwi]] about Optimization-based clustering methods.
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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:Mortz|Maria Ortiz]]
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[[User:nbedwell|Neil Bedwell]]
* 2008/03/10 -- Copied most of [[Lecture_5_-_Discriminant_Functions_OldKiwi| Lecture 5]] to the new system.
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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.
 +
 
 +
[[User:Qxia|Qian Xia]]
 +
* 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".
 +
* 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:Rsriniva|Rahul Srinivasa Raghavan]]
 
[[User:Rsriniva|Rahul Srinivasa Raghavan]]
* 2008/03/10 -- Created a new page on [Face detection vs Face recognition] and added materials under the               same.
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* 2008/04/20 -- Added a new page on [[Influence Map_OldKiwi]], and added materials under the same.
* 2008/03/16  -- Transferred [[Probabilistic neural networks_OldKiwi]] from old kiwi. Transferred [[Steepest descent algorithm_OldKiwi]] from old kiwi. Transferred [[Feed Forward Back Propagation Algorithm_OldKiwi]] from old kiwi
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* 2008/03/22 -- Transferred contents of [[Genetic algorithm_OldKiwi]] from old Kiwi. Transferred contents from [[ECE637:ECE637_OldKiwi]] page of the old kiwi to the new one.
+
  
[[User:Slitkouh|Sahm Litkouhi]]
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[[User:park200|Seong Jun Park]]
* 2008/03/17 -- Transferred comparison table and BPE figure from old kiwi into [[Comparison of MLE and Bayesian Parameter Estimation_OldKiwi]] and changed formattingTransferred and formatted all of [[Lecture 8 - MLE, BPE and Linear Discriminant Functions_OldKiwi|Lecture 8]] from old kiwi.
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* 2008/04/21 -- Added and modified the square error in Lecture 26 Statistical clustering methods.
* 2008/03/22 -- Transferred and formatted all of [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|Lecture 12]] from old kiwi.
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* 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.
  
[[User:Sraghav|Saranya Raghavan]]
 
* 2008/03/16 -- Updated [[Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued)_OldKiwi]] notes: Changed formatting, and fixed errors in notes. Added Figures 1 and 2. Transferred [[Lecture 7 - MLE and BPE_OldKiwi]] from Old Kiwi and fixed formulae/formatting.
 
  
[[User:Hu|Shuowen Hu]]
+
[[User:hu|Shuowen Hu]]
* 2008/03/16 -- Created Figure 1 in Lecture 17: example of phi with triangle that shows the use of invariance coordinates to repeat (p1,...,pN). Transferred my Lecture 15 figures from old KIWI to new KIWI: specifically figure 1 and 2
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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:Svenkata|Singanallur V Venkatakrishnan]]
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[[User:slitkouh|Sahm Litkouhi]]
* 2008/03/16 -- Transferred [[K-means_OldKiwi]] from old KIWI. Transferred [[LBG_OldKiwi]] clustering from old KIWI. Added Cross Links from clustering page to the above two topics. Moved [[Comparison of MLE and Bayesian Parameter Estimation_OldKiwi]].
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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]].
* 2008/03/22 -- Transferred Lecture 14 from old KIWI. Converted all except one of the equations to the new kiwi's format. Copied only 1 image.[[Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window) _OldKiwi]]
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* 2008/04/24 -- Moved [[Backpropagation Learning Algorithm_OldKiwi]] from old Kiwi to new glossary.
 +
* 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:sraghav|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.
  
 
[[User:srudolph|Stephen Rudolph]]
 
[[User:srudolph|Stephen Rudolph]]
* 2008/03/05 -- Added two publicly available data sets to [[Data Sources_OldKiwi]]. Created [[Data Sources_OldKiwi]] page.
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* 2008/04/17 -- Moved new assignment information from lecture notes to dedicated [[Homework 3_OldKiwi]] page and updated the information.
  
[[User:park200|Seong Jun Park]]
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[[User:svenkata|Singanallur Venkatakrishnan]]
* 2008/03/17 -- modified some typo in Lecture 18 Nearest Neighbors Clarification Rule and Metric.
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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
* 2008/03/17 -- add new topic, the Tanomoto metric, in Lecture 17.
+
  
[[User:Tha|Thanh Huy Ha]]
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[[User:tha|Thanh Huy Ha]]
* 2008/03/10 -- Created the page [Estimate density using histogram].
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* 2008/04/25 -- Created the page [[Recommendations for nonlinear discrimination methods_OldKiwi]].
  
 
[[User:tchen|Thomas Chen]]
 
[[User:tchen|Thomas Chen]]
* 2008/03/05 -- Moved lecture 1 and part of lecture 17 to the new system
+
* 2008/04/23 -- Created animated gif ECE662_lect27_smear.gif for lecture 27
* 2008/03/05 -- Added links to all current lecture notes to return to the main page to select another lecture.
+
* 2008/04/23 -- Added PDE's to the glossary
* 2008/03/20 -- Moved Lecture 12 to new system
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* 2008/03/20 -- Searched all Lecture notes to find which pages were not transferred over and made comments on the main page
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* 2008/03/20 -- Added links to all other lectures at the bottom of all the course lecture pages
+
  
 
[[User:chuangt|Tzu-Cheng Chuang]]
 
[[User:chuangt|Tzu-Cheng Chuang]]
* 2008/03/16 -- Moved [[Lecture_6_-_Discriminant_Functions_OldKiwi| Lecture 6]] to the new system.
+
* 2008/04/17 -- Edited [[Lecture 26 - Statistical Clustering Methods_OldKiwi| Lecture 26]] by adding figure 1 and figure 3.
* 2008/03/20 -- Moved [[Lecture_15_-_Parzen_Window_Method_OldKiwi| Lecture 15]] to the new system.
+
* 2008/04/22 -- Edited [[Lecture_27_-_Clustering_by_finding_valleys_of_densities _OldKiwi| Lecture 27]] by adding figure 1,2 and 3.
 
+
  
 
[[User:ynimmaga|Yamini Nimmagadda]]
 
[[User:ynimmaga|Yamini Nimmagadda]]
* 2008/03/07 -- Added the definiton of [[Minkowski Metric_OldKiwi]] to [[Glossary_OldKiwi]]. Added a reference to a website in [[References_OldKiwi]] showing gait recognition based on gender, weight and emotion. Added the [[Implementation Issues_OldKiwi]] regarding KNN and learning distance metric
+
* 2008/04/25 -- Added Links for papers and tutorials on k-means clustering in [[Publications_OldKiwi]] section of [[References_OldKiwi]].
* 2008/03/16 -- Transferred [[Applications of Pattern Recognition_OldKiwi]] topic from old kiwi. Transferred [[Face detection vs Face recognition_OldKiwi]] topic from old kiwi. Transferred [[Implementation Issues_OldKiwi]] topic from old kiwi
+
* 2008/04/25 -- Added [[Neural Networks using Genetic Algorithms_OldKiwi]]
* 2008/03/19 -- Transferred [[Lecture 9 - Linear Discriminant Functions_OldKiwi]] topic from old kiwi.
+
* 2008/03/19 -- Created links to [[Homework Resources_OldKiwi]] and transferred the [[C/C++ resources_OldKiwi]], [[Matlab resources_OldKiwi]] and [[Scilab - resources related to Scilab_OldKiwi]] from the old kiwi
+
  
 
[[User:su0|Yun-Ting Su]]
 
[[User:su0|Yun-Ting Su]]
* 2008/03/16 -- Created Figure 1b in [[Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued)_OldKiwi]] a more accurate illustration of tessalation for nearest neighbor rule in R2. Transferred my Lecture 16 figure and some notes from old KIWI to new KIWI: Useful Parzen Window <math>\in \mathbb{R}^n</math>. Transferred my Lecture 12 note and figure from old KIWI to new KIWI illustration the definition of Support Vector Machine.
+
 
 +
* 2008/04/20 -- Added Figure 3 in [[Lecture 25 - Clustering Algorithms_OldKiwi]] illustrating how projections effect the result of clustering.
 +
* 2008/04/20 -- Added Figure 4 in [[Lecture 25 - Clustering Algorithms_OldKiwi]] illustrating the algorithm for clustering from feature vectors.

Latest revision as of 11:21, 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.

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

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

EISL lab graduate

Mu Qiao