There are two lectures each week: Wednesday 15.15-17.00 hrs and Friday 13.15-15.00 hrs. In the planning below, lecture 46A is the Wednesday lecture in week 46 etc. There are Computer Lab sessions (C) in weeks 47-49 on Friday, 11.00-12.45 hrs, and in week 50 on Wednesday 13.15-15.00 hrs.

"James" refers to the book An introduction to statistical learning with applications in R by Gareth James et al., Springer, 2013.
"Hastie" refers to the book The elements of statistical learning (2nd edition) by Trevor Hastie et al., Springer 2009.

Video's and slides accompanying the book of James et al.

Lecture Subject/Slides Literature Exercises/Background
46A Introduction Statistical Learning (extra slides) James, Chapters 1-2 Chapter 2, Exercises 1-7
46C No Computer Lab (Open Day)    
46B No Lecture (Open Day)    
47A Linear Regression James, Chapter 3  
47C Computer Lab   Introduction
47B Linear Regression (continued)
Derivation of Least Squares Estimates
James, Chapter 3 Chapter 3, Exercises 1,3,4 and 6
48A Classification (extra slides)
Derivation of Linear Discriminant Function
James, Chapter 4 Chapter 4, Exercises 3,5,6,7,8
48C Computer Lab   Work on assignment 1
48B Linear Model Selection and Regularization
(extra slides)
James, Chapter 6 Chapter 6, Exercises 1-4
49A Support Vector Machines
(extra slides)
(Derivation of distance to decision boundary)
James, Chapter 9 Chapter 9, Exercises 1-3
49C Computer Lab   Work on assignment 1
49B Neural Networks
Hastie, Chapter 11  
50C Computer Lab   Work on assignment 1
50A Exercises, Q & A   Exercises (Answers)
50B Exam Statistical Pattern Recognition    

The schedule for the geometric part of pattern recognition is given below. Slides are the 2015 versions unless it says (new).

Lecture Subject/Slides Literature Exercises/Background
51A Geometric PR Intro; Data; Project start
Slides Intro (new), Slides Data (new)
Project Project distribution; presence mandatory!
51B Geometric Description; Measures and Metrics
Slides Description (new), Slides Measures (new)
11-12.30: Lecturer available for project questions (office: BBG-416)
52A No Lectures    
52B No Lectures    
1A No Lectures    
1B No Lectures    
2A Tools
Slides Tools (new)
Video 1
Video 2
13-14.45: Lecturer available for project questions
2B Point matching
Slides Point matching (new)
  11-12.30: Lecturer available for project questions
15-17: Idem
3A Trajectory Patterns
Slides Trajectories (new)
3B Visual Analytics
Slides Visual Analytics (new)
  Test Questions for exam, GPR part
For previous exams, see elsewhere on this site
4A Project presentations (by students):
Iris Scans
Crime Patterns
OCR for Kanji
Patterns in Archaeology
OCR for Latin characters
Pedestrian Movement Patterns
Fingerprint Patterns
  Presence mandatory!
4B Project presentations (by students):
Star Patterns in Astronomy
Leadership Patterns in Trajectories
Street Network Patterns
Geological Patterns
Plant and Tree Patterns
Seismic Patterns
  Presence mandatory!
5 Exam Geometric Pattern Recognition
Friday Feb. 3, 2017, 13.30-16.30