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Name |
Contact |
Project description |
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Dave Thompson |
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graph cuts for medical image segmentation |
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Jian Xu,
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{xujian} at cs dot ubc dot ca |
automatic XML schema matching and mapping in p2p system ?? |
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Ewout van den Berg, |
{ewout78, mhchan, skhchiu}at cs dot ubc dot ca |
Reimplement Vibes in Matlab |
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Lei Duan, |
{lduan} at cs
dot sfu dot ca, |
Implementing structured penalties for GLS+ |
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Nels Anderson |
{andersnc} at cs dot ubc dot ca |
Language processing using Mallet (I'm planning on using Mallet to give a demo of greedy discriminative feature induction. Time permitting, there may be some anaylsis on the features.) |
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Daniel Eaton |
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Swendsen-Wang on a toy problem |
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Disha Al Baqui |
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Topic Modelling [Language application] |
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Anirban Sinha |
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Comparing of WinBugs & Vibes for their speed/accuracy trade off & possibly also use Gaussian mixture models on them to see how both of them perform. |
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Mike Cora |
{mcora} at cs dot ubc dot ca |
Region classification using texture features in Matlab, based on the work of Julia Vogel and Tim Rees. |
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M. Argun Alparslan |
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Blob World |
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Aline Tabet,
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Feature selection using RJMCMC |
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Alfred Pang |
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construct a suite of demos/tutorials for MatBUGS |
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Sharath J George |
{sharathg} at cs dot ubc dot ca |
Object Detection using classifiers |
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Andrew Carbonetto |
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Evaluating the segmentation algorithms mentioned in the Lectures (Blob World, the Superpixels, and the Felzenszalb segmentation). I'll evaluate the algorithms over the LabelMe database. I hope to provide some segmentation solutions to Mike Cora's texture classification project. |
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Brad Bingham |
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Either graph cuts (as described on slide 15) or "Fast BP 3" (as described on slide 12) |
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Maryam Mahdaviani |
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"L_1 Feature Selection for 1-D CRFs": Modifying the penalty in 1-D CRFs from l_2 norm to l_1 and testing it on a toy problem. |
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Mike Li |
{mike} at gmail dot com |
Summary and demo of the software under "gRaphical models in R" project (gR). |
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Wei Li |
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Fast BP: Distance Transform (Slide 12) |
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Akshay Gattani, Flavia Moser |
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LANGUAGE MODELING : "Combining n-gram models and Probabilistic Context Free Grammars via Directed Markov Random Fields". |
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Sebastian Streg |
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Survey of machine learning toolkits (Slice30) |
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Lin Xu, |
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I will do lasso as my feature selection method. I plan to use lasso compare to our feature selection method (regression feature) to see which one is better, are they select the same set of features and so on. There is another student in CSPS540 interesting in that as well. |
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Chris Elliott |
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Bayesian Updating with Discretization |
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