September 14
                     Lecture 1: Course Introduction
                     Lecture 2: kNN classifier

September 21
                     Finish lecture 2
                     Lecture 3: Computer Vision Concepts and
                     Lecture 4: Image Representation

September 28
                     Finish Lecture 4 and
                     Lecture 5: Cross Validation
                     Lecture 6: High Dimensionality

October 5                     
                     Paper Discussion:
                     "Video Google: A Text Retrieval Approach to Object Matching in Videos" Project demo
                     "Scene Completion Using Millions of Photographs" Project web site

October 12
                     Lecture 7: Linear and generalized liner classifier

October 19
                     Lecture 8: Support Vector Machines

October 26
                     Lecture 9: Boosting

November 2
                     Finish Lecture 9 and
                     Paper Discussion:
                     "Histograms of Oriented Gradients for Human Detection"

November 9
                     Paper Discussion:
                     "Rapid Object Detection using a Boosted Cascade of Simple Features"
                     Lecture 10: Neural Networks

November 16
                     Continue Lecture 10

November 23
                     Lecture 10: Deep Neural Networks

November 30
                     Finish Lecture 10 and
                     Paper Discussion:
                     "Fast R-CNN"

December 6
                     Student Paper Presentations from 9:30-11:30 in MC320

December 7
                     Student Paper Presentations from 10:30-12:30 in MC320

January 11
                     Student Paper Presentations from 10:30-12:30 in MC300

January 17
                     Student Paper Presentations from 9:30-12:30 in MC300