TY  - JOUR
AB  - Recognition and description of complex objects require the representation and processing of various aspects and features. In the paper, we propose an architecture which combines the advantages of different paradigms. Voting and Bayesian networks enable an integrated approach for knowledge based and probabilistic reasoning. (C) 1999 Elsevier Science B.V. All rights reserved.
DA  - 1999
DO  - 10.1016/S0167-8655(99)00075-6
KW  - voting
KW  - Bayesian network
KW  - system architecture
KW  - object recognition
LA  - eng
IS  - 11-13
M2  - 1085
PY  - 1999
SN  - 0167-8655
SP  - 1085-1091
T2  - Pattern Recognition Letters
TI  - A multi-directional multiple-path recognition scheme for complex objects applied to the domain of a wooden toy kit
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-16210703
Y2  - 2024-11-22T07:24:47
ER  -