Title :
Parallel feature extraction system with multi agents-PAFE
Author :
Nakamura, Yuichi ; Nagao, Makoto
Author_Institution :
Dept. of Electr. Eng., Kyoto Univ., Sakyo, Japan
fDate :
30 Aug-3 Sep 1992
Abstract :
Introduces a system (PAFE) which provides a flexible framework for feature extraction. This system is constructed based on the multi agents model, in which many agents work co-operatively and concurrently. The objective of this system is to achieve flexible control and coarse-grained parallelism of feature extraction by organizing feature extraction as parallel graph search
Keywords :
feature extraction; parallel programming; PAFE; coarse-grained parallelism; feature extraction; flexible framework; multi agents model; parallel graph search; Control systems; Data mining; Distributed processing; Feature extraction; Image processing; Iron; Memory management; Organizing;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201795
