Learning Multidimensional Signal Processing
1998 (English)In: Proceedings of the 14th International Conference on Pattern Recognition, vol 2: Brisbane, Australia, 1998, Vol. II, 1416-1420 p.Conference paper (Refereed)
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.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-21731OAI: oai:DiVA.org:liu-21731DiVA: diva2:273852