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* 2008/04/21 -- Added and modified the square error in Lecture 26 Statistical clustering methods. | * 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. | * 2008/04/21 -- Added an image about Defining Distances Between Clusters in Lecture 24. | ||
+ | * 2008/04/26 -- Added two images about of Valley Seeking in Lecture 27. | ||
+ | * 2008/04/26 -- Modified some equations to be wrong in Lecture 27. | ||
Revision as of 19:27, 26 April 2008
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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
- 2008/04/24 -- 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.
- 2008/04/16 -- 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 in Lecture 27.
- 2008/04/26 -- Modified some equations to be wrong in Lecture 27.
- 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.