TY  - JOUR
A1  - Zhu, Jianhui
A1  - Malsburg, Christoph von der
T1  - Grouping variables in an underdetermined system for invariant object recognition
T2  - BMC neuroscience
N2  - Poster presentation: Introduction We study the problem of object recognition invariant to transformations, such as translation, rotation and scale. A system is underdetermined if its degrees of freedom (number of possible transformations and potential objects) exceed the available information (image size). The regularization theory solves this problem by adding constraints [1]. It is unclear what constraints biological systems use. We suggest that rather than seeking constraints, an underdetermined system can make decisions based on available information by grouping its variables. We propose a dynamical system as a minimum system for invariant recognition to demonstrate this strategy. ...
Y1  - 2009
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/7072
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30-70830
N1  - © 2009 Zhu and Malsburg; licensee BioMed Central Ltd.
VL  - 10(Suppl 1)
IS  - P308
ER  -