Class 1	Notes	PostScript, PDF
3/30/99
Class 2	Notes	PostScript, PDF
4/1/99	Matlab Code	lecture2.m
Class 3	Notes	PostScript, PDF
4/6/99	Matlab Code	lecture3.m
Class 4	Notes	Notes handed out during class
4/8/99	Matlab Code	fisherdemo.m
Class 5	Notes	Superseded by notes for Class 6 and Class 7
4/13/99	Matlab Code
Class 6	Notes	Notes on detecting single feature objects (toy constellation model) PostScript, PDF
4/15/99	Matlab Code
Class 7	Notes	Notes on detecting multi-feature objects PostScript, PDF
4/20/99	Matlab Code	lecture7.m randnND.m gaussian.m poisson.m Here gaussian.m and poisson.m are used to get Gaussian and Poisson distributed random numbers, which can also be generated by functions in matlab statistics toolbox (such as poissrnd.m and normrnd.m).
Class 8	Notes	PostScript, PDF
4/22/99	Matlab Code	lecture8.m randnND.m gaussian.m poisson.m
Class 9	Notes	PostScript, PDF
4/27/99
Class 10	Notes	Included in notes for Class 9
4/29/99
Class 11	Notes
5/4/99
Class 12	Notes
5/6/99
Class 13	Notes	PowerPoint Slides, Solution of example problem (coming soon)
5/11/99	Matlab Code	testPartGaussEM.m(run this one) partGaussEM.m randCovariance.m drawEllipse.m randvec.m
Class 14	Notes	PowerPoint Slides
5/13/99
Class 15	Notes	Paper by Yang (see TA to obtain a copy)
5/18/99