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Bayesian Surprise in Indoor Environments:

, In: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,

Feld, Sebastian ; Sedlmeier, Andreas ; Friedrich, Markus.. - p. 129-138 , 2019

Link: https://dl.acm.org/doi/10.1145/3347146.3359358

RT 
T1 <cTitle>Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>Bayesian Surprise in Indoor Environments</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3359358&Exemplar=1&LAN=DE
				
A1 Feld, Sebastian
A1 Sedlmeier, Andreas
A1 Friedrich, Markus
A1 Franz, Jan
A1 Belzner, Lenz
PB ACM
YR 2019
K1 Bayesian Surprise
K1 Indoor LBS
K1 Indoor Location-Based Service
K1 Indoor Navigation
K1 Isovist Analysis
K1 Novelty
K1 Salience
K1 Trajectory Characterization
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic inference problems
K1 Bayesian computation
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Location based services
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Knowledge representation and reasoning
K1 Spatial and physical reasoning
K1 Distributed artificial intelligence
K1 Intelligent agents
SP 129
OP 138
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3347146.3359358
DO https://dl.acm.org/doi/10.1145/3347146.3359358
SF ELIB - SuUB Bremen

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