CIS 9590 - Schedule, Fall 2008
Machine Learning for Robot Perception (Advanced Topics in CS)
|
Date |
Topics |
|
Sep. 3 |
Introduction: Grand
Challenge 2005 (S. Thrun) |
|
Sep. 10 |
Basic Statistics: IntroProb, RVs |
|
Sep. 17 |
Bayes Classifier ppt, |
|
Sep. 24 |
K-means and Expectation Maximization (EM) ppt1 ppt2 |
|
Oct. 1 |
Mean Shift and Image Segmentation by ChengEn Lu ppt Principal Component Analysis (PCA) LA, eigenfaces |
|
Oct. 8 |
Eigen and Singular Value Decomposition ppt Diffusion Maps by Xingwei Yang ppt |
|
Oct. 15 |
Motion Detection with Local PCA by Son Vo and Lei Guan ppt Introduction to Particle Filters ppt |
|
Oct. 22 |
Linear Programming by Emmanuel Obasi pdf Stanford entry in the Urban Challenge by Peter LoBue zip |
|
Oct. 29 |
Mind Control Robots by Shusha Li ppt Learning Vector Quantization (LVQ) by Mihajlo Grbovic ppt |
|
Nov. 5 |
Image Segmentation with EM by Hong Vo zip
(ppt + Matlab code) Particle Filters for Shape Correspondence by Jingting Zeng ppt |
|
Nov. 12 |
Detecting Dependency in Kernel Space by Qiang Lou ppt Active Learning by Haidong Shi and Nanyi Zeng ppt |
|
Nov. 19 |
Clustering
analysis of microarray gene expression data
by
Ping Zhang ppt Image Contrast Enhancement by Solomon Jones ppt |
|
Dec. 3 |
Closing discussion |
|
Dec. 10 |
Closing discussion |