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Multi-Level Bayesian Models for Environment Perception
Hardcover
ApplicationsProbability & StatisticsProgramming
ISBN13: 9783030836535
Publisher: Springer Nature
Published: Apr 19 2022
Pages: 202
Weight: 1.07
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
Introduction.- Fundamentals. - Bayesian models for Dynamic Scene Analysis.- Multi-layer label fusion models.- Multitemporal data analysis with Marked Point Processes. - Multi-level object population analysis with an EMPP model.- Concluding Remarks.- References.- Index.
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