Seminar "Selected Topics in Human Language Technology and Pattern Recognition"

In the summer term 2014 the Lehrstuhl für Informatik 6 will host a seminar entitled "Selected Topics in Human Language Technology and Pattern Recognition".

Registration for the seminar

Registration for the seminar is only possible online via the registration page provided by the Computer Science Department.

Prerequisites for participation in the seminar

Seminar format and important dates

UPDATE: Prof. Ney will be on leave during the lecture period, therefore the seminar needs to take place in block mode during the first full week of August, i.e. around August 4-8, 2014. Details will be announced in the L2P.

Note: failure to meet deadlines, absence without permission from compulsory sessions (presentations and preliminary meeting as announced by email to each participating student), or dropping out of the seminar after more than 3 weeks after the kick-off meeting (i.e. by March 27, 2014) results in the grade 5.0/not appeared.

Topics, relevant references and participants

The specific topics of the seminar can be found below and are introduced and distributed during the preparatory meeting in the seminar room at the Lehrstuhl für Informatik 6.

The following books will serve as initial references for this seminar:

List of seminar topics:

  1. Linear Models for Classification (NN; Supervisor: Patrick Dötsch)
    Initial reference(s): Bishop: Sec. 4; Duda, Hart, Stork: Sec. 5

  2. Non-Parametric Techniques (NN; Supervisor: Patrick Dötsch)
    Initial reference(s): Duda, Hart, Stork: Sec. 4

  3. Introduction to Neural Networks (Ruppert; Supervisor: Simon Wiesler)
    Initial reference(s): Bishop: Sec. 5; Duda, Hart, Stork: Sec. 6

  4. Stochastic Methods (Andelefski; Supervisor: Tamer Alkhouli)
    Initial reference(s): Duda, Hart, Stork: Sec. 7

  5. Sparse Kernel Machines (incl. SVM) (NN; Supervisor: Simon Wiesler)
    Initial reference(s): Bishop: Sec. 7

  6. Introduction to Log-Linear Modeling (NN; Supervisor: Simon Wiesler)
    Initial reference(s): Bishop: Sec. 8

  7. Maximum Likelihood, Mixture Models, and EM (NN; Supervisor: Tamer Alkhouli)
    Initial reference(s): Bishop: Sec. 9; Duda, Hart, Stork: Sec. 3 without Subsec. 3.10

  8. Hidden Markov Models (NN; Supervisor: Tamer Alkhouli)
    Initial reference(s): Duda, Hart, Stork: Sec. 3.10; Rabiner Juang: Sec. 6.

  9. Segmentation by Clustering (Taraschewski; Supervisor: Christian Oberdörfer)
    Initial reference(s): Forsyth, Ponce, 2011: Sec. 9, 14; Szeliski: Secs. 5.2, 5.4, 5.5; Forsyth, Ponce, 2003: Sec. 14

  10. Segmentation by Fitting a Model (Kliege; Supervisor: Patrick Dötsch)
    Initial reference(s): Forsyth, Ponce, 2011: Sec. 10.1 to 10.4; Szeliski: Sec. 6.1; Forsyth, Ponce, 2003: Sec. 15

  11. Segmentation and Fitting using Probabilistic Models (NN; Supervisor: Jörn Wübker)
    Initial reference(s): Forsyth, Ponce, 2011: Sec. 10.5 to 10.7; Szeliski: Sec. 5.3; Forsyth, Ponce, 2003: Sec. 16

  12. Tracking (Meissner; Supervisor: Jörn Wübker)
    Initial reference(s): Forsyth, Ponce, 2011: Sec. 11; Szeliski: Sec. 5.1; Forsyth, Ponce, 2003: Sec. 17

  13. Registration (Model-Based Vision) (NN; Supervisor: Christian Oberdörfer)
    Initial reference(s): Forsyth, Ponce, 2003: Sec. 18; Forsyth, Ponce, 2011: Sec. 12; Szeliski: Sec. 6.2 and 6.3

  14. Classification (Blasius; Supervisor: Jörn Wübker)
    Initial reference(s): Forsyth, Ponce, 2003: Sec. s 22,23; Forsyth, Ponce, 2011: Sec. s 15, 16.1, 20; Szeliski: Sec. 14.1 to 14.2

  15. Finding Images (=Retrieval) (Assmann; Supervisor: Christian Oberdörfer)
    Initial reference(s): Forsyth, Ponce, 2003: Sec. 25; Forsyth, Ponce, 2011: Sec. 21[,17]; Szeliski: Sec. 14.3 to 14.5


Guidelines for the article and presentation

The roughly 20-page article together with the slides (between 20 & 30) for the presentation should be prepared in LaTeX format. Presentations will consist of 45 minutes presentation time & 15 minutes discussion time. Document templates for both the article and the presentation slides are provided below along with links to LaTeX documentation available online. The article and the slides have to be prepared in LaTeX format using the provided templates and submitted electronically in pdf format. Other formats will not be accepted.

             General:
             Specific:

Contact

Inquiries should be directed to the respective supervisors or to:

Dr. Ralf Schlüter
RWTH Aachen
Lehrstuhl für Informatik 6
Ahornstr. 55
52056 Aachen

Raum 6125b
Telefon: 0241 / 80-21612

E-Mail: schlueter@cs.rwth-aachen.de