Title :
A visual information association memory approach based on ordered dynamical system model
Author :
Shi, Dongcheng ; Chen, Hexin
Author_Institution :
Sch. of Comput. Sci. & Eng., Jilin Inst. of Technol., Changchun, China
Abstract :
This paper presents a nonlinear state equation of ordered dynamical system model (ODSM) and a potential function on system state space by the order parameter. For visual information association memory constructed an ordered dynamical system approach that based on the data feature. Finally, the experimental results what shows that the performance is more efficient
Keywords :
computer vision; content-addressable storage; computer vision system; data feature; nonlinear state equation; order parameter; ordered dynamical system model; system state space; visual information association memory; Biological system modeling; Computer science; Computer vision; Control systems; Force control; Information science; Integral equations; Nonlinear equations; Space technology; Transforms;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891654
