,
,
).
Pattern Classification methods are used by many business and research applications to solve various problems: optimal flight management system utilization, autonomous robot navigation, natural language processing, etc. Pattern recognition classifies data (called also patterns) based on either a priori knowledge or on statistical information extracted from the data. Pattern classification is the heart of all pattern recognition systems, which classifies (describes) the input data, without considering pre- and post processing of the data.
The basis of the reading group will be the book “Pattern Classification” from Duda, Hart and Stork. We will look into different classification schemes, like Bayesian decision theory, maximum-likelihood estimation, expectation-maximization, back-propagation neural networks, hidden markov models.
Additional information can be found on the book's web site http://rii.ricoh.com/~stork/DHS.html.
The meetings will take place every Thursday at 17:30 in the seminar room in the
informatics building. The schedule is also available as public Google calendar
(,
,
).
| November, 2 | Introduction | |
| November, 9 | Chapter 2, first part | Mircea |
|
November, 15 Special date and time: Wednesday, 18:30 |
Chapter 2, second part | Mircea |
|
November, 20 Special date: Monday |
Chapter 3 | Jochen |
| November, 30 | Chapter 3 | Cyrus |
| December, 7 | Open Discussion | |
| December, 14 |
|
|
| December, 21 | Pre-Christmas Holiday | |
| December, 28 | Christmas Holiday | |
| January, 4 | Christmas Holiday | |
| January, 11 | Chapter 9 (with slides!) | Anna |
| January, 18 | Chapter 5 | Cyrus, Jeff |
| January, 25 | Chapter 8 |
|
| February, 1 | Open Discussion (Chapter 7?) | (Jeff?) |
| February, 8 | Chapter 6 | Alexander |