Title :
What Category Theory Tells Us About Information Fusion
Author :
Thorsen, Steven N. ; Oxley, Mark E.
Author_Institution :
Dept. of Math. & Stat., Air Force Inst. of Technol., Wright-Patterson AFB, OH
Abstract :
Category theory allows information fusion to be defined properly. Key to the definition of information fusion is the notion of the output under fusion being superior in some way to the output of simple classification systems alone. The definition therefore relies upon the construction of natural transformations suitable to the researcher. This paper discusses the meaning of such constructions
Keywords :
sensor fusion; category theory; classification systems; information fusion; natural transformations; Event detection; Force measurement; Mathematics; Object detection; Probability; Q measurement; Sensor phenomena and characterization; Sensor systems; Space technology; Statistics; Tracking; data association; estimation; neural network; resource allocation;
Conference_Titel :
Information Fusion, 2006 9th International Conference on
Conference_Location :
Florence
Print_ISBN :
1-4244-0953-5
Electronic_ISBN :
0-9721844-6-5
DOI :
10.1109/ICIF.2006.301678
