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Learning Multidimensional Signal Processing
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9267-2191
n/a.
1998 (English)In: Proceedings of the 14th International Conference on Pattern Recognition, vol 2: Brisbane, Australia, 1998, Vol. II, 1416-1420 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents our general strategy for designing learning machines as well as a number of particular designs. The search for methods allowing a sufficient level of adaptivity are based on two main principles: 1. Simple adaptive local models and 2. Adaptive model distribution. Particularly important concepts in our work is mutual information and canonical correlation. Examples are given on learning feature descriptors, modeling disparity, synthesis of a global 3-mode model and a setup for reinforcement learning of online video coder parameter control.

Place, publisher, year, edition, pages
1998. Vol. II, 1416-1420 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-21731OAI: oai:DiVA.org:liu-21731DiVA: diva2:273852
Available from: 2009-10-25 Created: 2009-10-05 Last updated: 2014-10-08

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Knutsson, HansBorga, Magnus

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