TY  - BOOK
AU  - Nyolt, Martin
PY  - 2019
DA  - 2019//
TI  - Efficient human situation recognition using Sequential Monte Carlo in discrete state spaces
PB  - Universität Rostock
CY  - Rostock
AB  - This dissertation analyses these challenges and provides solutions for SMC methods. The large, categorical and causal state-space is the largest factor for the inefficiency of current SMC methods. The marginal filter is analysed in detail for its advantages in categorical states over the particle filter. An optimal pruning strategy for the marginal filter is derived that limits the number of samples.<eng>
UR  - http://purl.uni-rostock.de/rosdok/id00002533
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00002533-3
UR  - https://d-nb.info/1293657670/34
UR  - https://doi.org/10.18453/rosdok_id00002533
DO  - 10.18453/rosdok_id00002533
LA  - English
N1  - vorgelegt von Martin Nyolt
ID  - 1678192589
ER  -