| Course Introduction |
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Lecture Notes |
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Intro to Course (Jan 10)
  [slides]
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Review of prob and statistics (Jan 12)
  [notes] |
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Reference Material |
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Paper Search/Reading/Writing/Vision Resources |
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Prob/Stats review chapters [on Angel course site] |
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| Gaussian Mixture Models and Expectation Maximization |
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Lecture Notes |
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Motivation: Bag of Features Models (Jan 17)
  [slides] |
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The Gaussian Distribution (Jan 17)
  [scanned notes] |
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K-Means algorithm, including intro to MLE (Jan 19,24)
  [notes] |
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Intro to Gaussian Mixture Models (Jan26)
  [scanned notes] |
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GMM / EM derivation (Jan26,31)
  [slides]
  [6 per page] |
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EM clarification
  [pdf notes] |
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Homework Assignments |
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Homework 1 due Sunday, Feb 5 |
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submit critiques before class on Thursday, Feb 9 ( 2 out of 4 papers from the "Research Papers" list below) |
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Sample Critique and Oral Presentation |
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Here is a sample critique and
sample oral presentation
for the paper Statistical Color Models
with Applications to Skin Detection, by Jones and Rehg. For reference, here
were the
critique instructions and
presentation instructions from
our introductory class lecture. Cavaet: the sample critique I've written would
most likely receive a "check" in our check-minus, check, check-plus grading system. However,
if you are trying for a check-plus, please don't go overboard... for example, \
keep the length to no more than 2 pages.
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Reference Material |
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Intro to Gaussian Distribution , Bishop, PRML book |
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Old and New Matrix Algebra Useful for Statistics, Tom Minka. |
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Estimating Gaussian Mixture Densities with EM - A Tutorial, Carlo Tomasi. |
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Mixture Models and EM , Bishop, PRML book |
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Research Papers / Oral Presentations |
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Thursday, Feb 9 |
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Gang Zheng |
Adaptive Background Mixture Models for Real-time Tracking, Stauffer and Grimson |
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related paper of interest:
Understanding Background Mixture Models for Foreground Segmentation, Power and Shoonees |
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Yang Lin |
Blobworld: Image Segmentation using EM ..., Carson et.al. |
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J.George |
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization, Tai et.al. |
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J.Degol |
Simultaneous Estimation of Segmentation and Shape, Rittscher etal. |
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