September 11
                    
Lecture 1: Course Introduction
                    
Lecture 2: kNN classifier
September 18
                    
Lecture 3: A few Computer Vision Concepts
September 25
                    
Finish Lecture 3
                    
Lecture 4: Image Representations
                    
Lecture 4: Curse of Dimensionality
October 2
                    
Paper Discussion:
                    
"Recognizing Action at a Distance"
                    
"80 million tiny images: a large dataset for non-parametric object and scene recognition"
October 8
                    
Lecture 6: Linear and Generalized Linear Classifiers
October 15
                    
Paper Discussion:
                    
"Object Recognition with Informative Features and Linear Classification"
                    
"Learning a Classification Model for Segmentation" Video lecture
October 22
                    
Lecture 7: Support Vector Machines
October 29
                    
CANCELLED
November 6
                    
Paper Discussion:
                    
"Histograms of Oriented Gradients for Human Detection"
                    
"Beyond Bags of Features: Spatial Pyramid Matching
for Recognizing Natural Scene Categories"
November 13
                    
Lecture 8: Bagging and Boosting
November 20
                    
Paper Discussion:
                    
"Rapid Object Detection using a Boosted Cascade of Simple Features"
                    
"Detecting Pedestrians Using Patterns of Motion and Appearance"
November 27
                    
Lecture 10: Cross
Validation
                    
Lecture 11: Unsupervised Learning
December 4
                    
Finish Lecture 11
December 11
                    
Student Paper Presentations from 9:30 to 12:30
January 17
                    
Student Final Project Presentations from 10:30 to 12:00 in MC316
January 21
                    
Student Final Project Presentations from 10:30 to 12:00 in MC220