Institute of Information Theory and Automation

Pattern Recognition Department

logo PRD Head of the Department:
Michal Haindl

Deputy head of the Department:
Jiří Grim

Secretary:
Jana Krejčová

phone: +420 266 052 505
www: http://ro.utia.cas.cz/
staff: people, Ph.D. students
List of publications, courses, projects

The scope of the activities of the Department of Pattern Recognition covers statistical pattern recognition, with emphasis being put on model-based pattern recognition and the application of finite mixtures, modeling of random fields for scene interpretation, probabilistic neural networks, statistical feature selection and applications in economics, the car industry, architecture, medicine, and text-document classification and processing. In all these areas, the group members enjoy an international reputation manifested by scientific awards and memberships in the governing bodies of international organizations.

 

Recent news:



The IEEE TPAMI selected the article:

Filip J., Haindl M.:Bidirectional Texture Function Modeling: A State of the Art Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 11, pp. 1921-1940, Oct. 2009

as a featured article of the November issue.







Konání: 18.ledna (pátek) v 10:00 bude v rámci semináře ZOI pořádaná přednáška Petra Somola

Are Better Feature Selection Methods Actually Better?

One of hot topics discussed recently in relation to pattern recognition techniques is the question of actual performance of modern feature selection methods.

MCS 2007 is the seventh workshop in a well-established series of meetings providing an international forum for the discussion of issues in multiple classifier system design.

The aim of the workshop is to bring together researchers from diverse communities dealing with this topic, including neural network, pattern recognition, machine learning and statistics.

MCS 2007 will focus in particular on the application of multiple classifier systems in biometrics.

Responsible for information: RO
Last modification: 07.10.2009
Institute of Information Theory and Automation