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[[User:Bsisman|Bunyamin Sisman]] | [[User:Bsisman|Bunyamin Sisman]] | ||
| − | * 2007/10/02 -- Created a new page on [[ | + | * 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 == | ||
| + | [[User:kim458|KyoHyouk Kim]] | ||
| + | * 2008/04/25 -- Addeda pattern recognition application field in remote sensing | ||
| + | |||
| + | [[User:akamra|Ashish Kamra]] | ||
| + | * 2008/04/20 -- Added description of the k-centers clustering problem [[Clustering_Algorithms_OldKiwi]] | ||
| + | * 2008/04/20 -- Added link to past conferences on application of machine learning techniques to anomaly detection [[Applications_of_Pattern_Recognition_OldKiwi]] | ||
| + | * 2008/04/28 -- Added link to an excellent survey paper on outlier detection methodologies [[Applications_of_Pattern_Recognition_OldKiwi]] | ||
| + | * 2008/04/28 -- Added link to an application of one class classification in anomaly detection [[Applications_of_Pattern_Recognition_OldKiwi]] | ||
| + | |||
[[User:Bsisman|Bunyamin Sisman]] | [[User:Bsisman|Bunyamin Sisman]] | ||
| − | * 2008/04/ | + | * 2008/04/24 -- Added a page with some figures for [https://balthier.ecn.purdue.edu/index.php/Mixture_Models Mixture Models] to Glossary |
| − | + | ||
[[User:wlunga|Dalton Lunga]] | [[User:wlunga|Dalton Lunga]] | ||
| − | * 2008/04/ | + | * 2008/04/17 -- Added last part of Lecture on 26 [[Statistical Clustering Methods_OldKiwi]] |
| + | * 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: | + | [[User:ebernard|Elvin Bernard]] |
| − | * 2008/04/ | + | * 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: | + | [[User:gsrivast|Gaurav Srivastava]] |
| − | * 2008/04/ | + | * 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: | + | [[User:Jinyoung1|Jinyoung Kim]] |
| − | * 2008/04/ | + | * 2008/04/24 -- Summarize a paper which employs Neural Netowrk in calibrating scanners [[Artificial Neural Networks_OldKiwi]]- Application of Neural Networks to Color Calibration |
| − | * 2008/04/ | + | * 2008/04/24 -- Describe my experiences on Neural Network to detect sonar singlas in sea [[Talk:Artificial Neural Networks_OldKiwi]] |
| − | [[User: | + | [[User:yoder2|Josiah Yoder]] |
| − | * 2008/04/ | + | * 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: | + | [[User:gong1|Jungtag Gong]] |
| − | * 2008/04/ | + | * 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]]. |
| − | + | ||
| − | + | ||
| − | [[User: | + | [[User:han1|Kihwan Han]] |
| − | * 2008/04/ | + | * 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_OldKiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15) |
| − | * 2008/04/ | + | * 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: | + | [[User:kng|Kaki Ng]] |
| − | * 2008/04/ | + | * 2008/04/21 -- Added a reference library for tools |
| − | + | ||
| − | [[User: | + | [[User:huffmalm|Landis Huffman]] |
| − | * 2008/04/ | + | * 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/ | + | * 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! |
| − | [[User: | + | [[User:lbachega|Leonardo Bachega]] |
| − | * 2008/04/ | + | * 2008/04/20 -- Created whole article about Multidimensional Scaling ([[MDS_OldKiwi]]). Formated all equations in Latex and added references. |
| + | * 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: | + | [[User:guptam|Madhur Gupta]] |
| − | * 2008/04/ | + | * 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/ | + | * 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]] | ||
| + | * 2008/04/20 -- Added four papers in [[Publications_OldKiwi]] about Optimization-based clustering methods. | ||
| + | * 2008/04/20 -- Added two papers in [[Publications_OldKiwi]] about Hierarchical Clustering Methods. | ||
| + | * 2008/04/20 -- Added five papers in [[Publications_OldKiwi]] about Density-based Clustering methods. | ||
| + | * 2008/04/20 -- Added two papers in [[Publications_OldKiwi]] about Grid-Based Clustering Methods. | ||
| + | * 2008/04/20 -- Added two papers in [[Publications_OldKiwi]] about Graph-based Clustering Methods. | ||
| + | |||
| + | [[User:nbedwell|Neil Bedwell]] | ||
| + | * 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. | ||
| + | * 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]] | ||
| + | * 2008/04/20 -- Added a new page on [[Influence Map_OldKiwi]], and added materials under the same. | ||
[[User:park200|Seong Jun Park]] | [[User:park200|Seong Jun Park]] | ||
| − | * 2008/04/04 -- | + | * 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. | ||
| + | |||
[[User:hu|Shuowen Hu]] | [[User:hu|Shuowen Hu]] | ||
| − | * 2008/04/ | + | * 2008/04/20 -- Created Figure 5 in Lecture 25 illustrating natural clustering using the value of J. |
| − | * 2008/04/ | + | * 2008/04/20 -- Added Figure 6 in Lecture 25 showing that squared error criterion is good for compact clusters, but sensitive to outliers. |
| − | [[User: | + | [[User:slitkouh|Sahm Litkouhi]] |
| − | * 2008/04/ | + | * 2008/04/24 -- Added example and link to a paper I authored about 3 feature-based automotive [[Feature Extraction_OldKiwi|lane recognition]]. |
| − | * 2008/04/ | + | * 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: | + | |
| − | * 2008/ | + | [[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]] | ||
| − | * 2008/04/ | + | * 2008/04/17 -- Moved new assignment information from lecture notes to dedicated [[Homework 3_OldKiwi]] page and updated the information. |
| + | |||
| + | [[User:svenkata|Singanallur Venkatakrishnan]] | ||
| + | * 2008/04/20 -- [[Topological Sort and Strongly Connected Components_OldKiwi]] page added in continuation to my earlier page on graph algos | ||
| + | |||
| + | [[User:tha|Thanh Huy Ha]] | ||
| + | * 2008/04/25 -- Created the page [[Recommendations for nonlinear discrimination methods_OldKiwi]]. | ||
| + | |||
| + | [[User:tchen|Thomas Chen]] | ||
| + | * 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/ | + | * 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. | ||
| − | [[User: | + | [[User:ynimmaga|Yamini Nimmagadda]] |
| − | * 2008/04/ | + | * 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]] | ||
| + | |||
| + | [[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. | |
| − | * 2008/04/ | + | * 2008/04/20 -- Added Figure 4 in [[Lecture 25 - Clustering Algorithms_OldKiwi]] illustrating the algorithm for clustering from feature vectors. |
| − | * 2008/04/ | + | |
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.
Also take a look at the "changes" and locate your changes when you put them up
To aid the grader, please try to be as exact as possible' in your description. Number your figures and equations and specify those in your ChangeLog entry. Also give a hyperlink to the page(s) you edited.
Example
- 2007/10/02 -- Created a new page on Image Processing_OldKiwi.
- 2007/10/03 -- Edited Lecture 3 - Bayes classification_OldKiwi by adding the section on Bayes rule equation <3,4,5> and figures <1,2,3>.
The ChangeLog
- 2008/04/25 -- Addeda pattern recognition application field in remote sensing
- 2008/04/20 -- Added description of the k-centers clustering problem Clustering_Algorithms_OldKiwi
- 2008/04/20 -- Added link to past conferences on application of machine learning techniques to anomaly detection Applications_of_Pattern_Recognition_OldKiwi
- 2008/04/28 -- Added link to an excellent survey paper on outlier detection methodologies Applications_of_Pattern_Recognition_OldKiwi
- 2008/04/28 -- Added link to an application of one class classification in anomaly detection Applications_of_Pattern_Recognition_OldKiwi
- 2008/04/24 -- Added a page with some figures for Mixture Models to Glossary
- 2008/04/17 -- Added last part of Lecture on 26 Statistical Clustering Methods_OldKiwi
- 2008/04/24 -- Added more notes on clustering algorithms
- 2008/04/24 -- Added link to clustering paper(Clustering Sequences with HMM)Clustering Sequences_OldKiwi
- 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.
- 2008/04/18 -- This posting is for week 14. Previous posting is for week 13. Added a new page giving a simple definition and illustrative example of Minimum Description Length (MDL_OldKiwi) principle. Click here -->> MDL_OldKiwi
- 2008/04/24 -- Summarize a paper which employs Neural Netowrk in calibrating scanners Artificial Neural Networks_OldKiwi- Application of Neural Networks to Color Calibration
- 2008/04/24 -- Describe my experiences on Neural Network to detect sonar singlas in sea Talk:Artificial Neural Networks_OldKiwi
- 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!
- 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.
- 2008/04/16 -- Created Lecture 25 - Clustering Algorithms_OldKiwi (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_OldKiwi and filled in section (PDE based valley seeking) all texts and equations (3-1) ~ (3-30)
- 2008/04/21 -- Added a reference library for tools
- 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!
- 2008/04/20 -- Created whole article about Multidimensional Scaling (MDS_OldKiwi). Formated all equations in Latex and added references.
- 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.
- 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.
- 2008/04/20 -- Added four papers in Publications_OldKiwi about Optimization-based clustering methods.
- 2008/04/20 -- Added two papers in Publications_OldKiwi about Hierarchical Clustering Methods.
- 2008/04/20 -- Added five papers in Publications_OldKiwi about Density-based Clustering methods.
- 2008/04/20 -- Added two papers in Publications_OldKiwi about Grid-Based Clustering Methods.
- 2008/04/20 -- Added two papers in Publications_OldKiwi about Graph-based Clustering Methods.
- 2008/04/23 -- Corrected LaTex equations in Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window)_OldKiwi, so that all are now correctly displayed.
- 2008/04/19 -- Add a comment in discussion of Lecture 23 - Spanning Trees_OldKiwi on the definition of path given in class.
- 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.
- 2008/04/20 -- Added a new page on Influence Map_OldKiwi, and added materials under the same.
- 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.
- 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.
- 2008/04/24 -- Added example and link to a paper I authored about 3 feature-based automotive lane recognition.
- 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.
- 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.
- 2008/04/17 -- Moved new assignment information from lecture notes to dedicated Homework 3_OldKiwi page and updated the information.
- 2008/04/20 -- Topological Sort and Strongly Connected Components_OldKiwi page added in continuation to my earlier page on graph algos
- 2008/04/25 -- Created the page Recommendations for nonlinear discrimination methods_OldKiwi.
- 2008/04/23 -- Created animated gif ECE662_lect27_smear.gif for lecture 27
- 2008/04/23 -- Added PDE's to the glossary
- 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.
- 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
- 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.
