Course Material

Here is a collection of teaching resources on cognitive systems.

Cognitive Computer Vision
This course was prepared by Kingsley Sage and Hilary Buxton at the University of Sussex. It focusses mainly on generative models and deals with such issues as Bayesian Networks, Gaussian Mixtures, and Hidden Markov Models. There are 15 lectures and slides for the entire course are available for download from the ECVision website.

Statistical Pattern Recognition Toolbox
This toolbox implements state-of-the-art pattern recognition methods in Matlab and is made available to the community under a very unrestictive licence. The toolbox was mostly written by Vojtech Franc and has been maintained by him. The seed of the toolbox were methods from the book ''Ten lectures on the statistical and structural pattern recognition'', by M.I. Schlesinger and V. Hlavac, Kluwer Academic Publishers, 2002. Since, the toolbox has developed much further.

Part of the toolbox documentation was written with the support from the project ECVision, predecesor of euCognition. This help is appreciated.

This entry was contributed by Vaclav Hlavac, April 25, 2007.

Human Vision System
This is a lecture on the Human Vision System (HVS) prepared by Vassilios Vonikakis and Antonios Gasteratos.

Embodying AI -- GOFAI Goes Robotics
This is material from a four-lectures course given by Joachim Hertzberg at the Interdisciplinary College in Guenne, March 2007. The course material consists of an introductory essay, and of the four lectures (Tour d'horizon, Navigation and Mapping, Symbol Grounding in Robotics, Plan-Based Robot Control). See PDF sources

Further Course Material
Cognitive Systems Outreach - Teaching Resources