TY  - JOUR
AB  - To interpret sensor signals like images, image sequences, or continuous speech the representation and use of task-specific knowledge is necessary. The paper presents a framework for the representation of declarative and procedural knowledge using a suitable definition of a semantic network. Based on that formalism a problem-independent control algorithm for the interpretation of sensor signals is presented. It provides both data-driven and model-driven control structures which can easily be combined to perform any mixed strategy. An explanation facility is available which makes the development of complex knowledge bases easier and increases the acceptance of such a knowledge-based analysis system.
DA  - 1993
DO  - 10.1016/0165-1684(93)90039-D
KW  - semantic networks
KW  - knowledge representation
KW  - problem-independent control
KW  - explanation facility
KW  - interpretation of sensor signals
LA  - eng
IS  - 1-2
M2  - 111
PY  - 1993
SN  - 0165-1684
SP  - 111-145
T2  - Signal Processing. Special issue on ‘Intelligent Systems for Signal and Image Understanding’
TI  - Control and explanation in a signal understanding environment
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-17806175
Y2  - 2024-11-21T22:36:39
ER  -