Previous meetings -- What we learned ...

I am sorry but I am just listing the problems Prof. Tagare carried us through for the past month. Everyone should have her/his own notes for the details. Chapter 1 from Vision by David Marr Septum Smoothing Cyst Priors of Edges We started the Journal Club led by ourselves this July. 16-JUL-2002: Support Vector Machine - led by James Beaty - Reading Materials: Please read SVM[MSWord] or SVM[PlainTXT] - Discussion Summary: Please read Sum01[MSWord] or Sum01[PlainTXT] - Future Reading: People may be interested in CS663b References 23-JUL-2002: Stochastic Analysis - Analysis of Variables - led by Weichuan Yu - Reading Materials: Please read Question List [PlainTXT] - Discussion Summary: Please read Sum02[PlainTXT] and Please read Mutual Information[PlainTXT](Thanks to Reshma for giving us the reference!) - Future Reading: People may be interested in Introduction to Regression 30-JUL-2002: Stochastic Analysis - Bayesian Analysis - led by Zhong Tao - Reading Materials: Chapter-10 of Statistical Inference - by G.Casella and Roger L. Berger - Discussion Summary: Please read Sum03[PlainTXT] - Future Reading: 06-AUG-2002: Stochastic Analysis - Robust Analysis - led by Christine DeLorenzo - Reading Materials: Please read Chapter-15.7 from Numerical Recipes and Robust Esitmation - Discussion Summary: Please read Sum04[PlainTXT] - Future Reading: References on Robust Statistics 13-AUG-2002: Kalman Filtering - led by Gang Liu - Reading Materials: Please read An Introduction to the Kalman Filter -by G. Welch and G. Bishop, and Least-Squares Estimation: from Gaussian to Kalman -by H. W. Sorenson (recommended by Zhong) - Discussion Summary: Please read Gang's notes[PDF] - Future Reading: Kalman's original paper 20-AUG-2002: Independent Component Analysis - led by Jing Yang - Reading Materials: Please read A Tutorial for ICA and A Survey on ICA - Discussion Summary: Please read - Future Reading: Independent Component Analysis - by Aapo Hyvarinen, Juha Karhunen, and Erkki Oja 27-AUG-2002: Markov Random Field - led by Xiaoning Qian - Reading Materials: Please read Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of images - Discussion Summary: Please read Paper notes[PDF] - Future Reading: Joseph T. Chang's Stochastic Processes notes

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What's next? -- It is your turn ...

Who is the leader? - Any questions, please contact with Reshma Munbodh What is the subject? - Game Theory - Reading Materials: Please read When will we meet? - TBA, Tuesday 2:00pm

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Schedule -- Better to be prepared ...

Date	Leader	Topic
12-July-2002	James Beaty	plan meeting
16-July-2002	James Beaty	SVM
23-July-2002	Weichuan Yu	Stochastic Analysis -- Analysis of Variables
30-July-2002	Zhong Tao	Stochastic Analysis -- Bayesian Analysis
6-August-2002	Christine DeLorenzo	Stochastic Analysis -- Robust Analysis
13-August-2002	Gang Liu	Partical Filtering & Kalman Filtering
20-August-2002	Jing Yang	PCA & ICA
27-August-2002	Xiaoning Qian	Markov Random Field
TBA-September-2002	Reshma Munbodh	Game Theory
TBA-September-2002	Ning Lin	3D Registration

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References -- What we want ...

Books: Vision -- by David Marr How to Solve It - A New Aspect of Mathematical Method -- by G. Polya What is Mathematics -- by H. Robbins & R. Courant Statistical Decision Theory and Bayesian Anaylysis -- by J. O. Berger (Chapter 1, 3, 4) Tools for Statistical Inference -- by Martin A. Tanner (Chapter 1, 2, 3, 4) Bayesian Theory -- by J. M. Bernardo & F. M. Adrian Introduction to Probability Theory and Its Applications -- by W. Feller Introduction to Probability Models -- by S. M. Ross Probability, Random Variables, and Stochastic Processes -- by A. Papoulis Measure, Integral & Probability -- by M. Capiriski & E. Kopp Robust Statistics -- by P. J. Huber Papers: A Gentle Introduction to the EM Algorithm. Part I: Theory -- by Hemant D. Tagare Webpages: Round Table

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Please e-mail me if you have any questions, comments, or suggestions.