Gaussian process regression for sensor networks under localization uncertainty

IEEE Transactions on Signal Processing

Volumn 61, Issue 2, 2013, Pages 223-237

  Jadaliha, Mahdi ^a   Xu, Yunfei ^a   Choi, Jongeun ^b   Johnson, Nicholas S ^c   Li, Weiming ^b  

^a Michigan State University   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c U S GEOLOGICAL SURVEY   (United States)

Author keywords

Gaussian processes; Laplace's methods; Monte Carlo methods; regression analysis; sensor networks

Indexed keywords

APPROXIMATION ERRORS; APPROXIMATION TECHNIQUES; DYE CONCENTRATION; GAUSSIAN PROCESS REGRESSION; GAUSSIAN PROCESSES; LAPLACE'S METHODS; MEASUREMENT NOISE; MONTE CARLO SAMPLING; PRIOR DISTRIBUTION; PROOF-OF-CONCEPT TESTS; REAL SITUATION; RESOURCE-CONSTRAINED; SIMULATION STUDIES;

GAUSSIAN NOISE (ELECTRONIC); LAPLACE TRANSFORMS; MONTE CARLO METHODS; REGRESSION ANALYSIS; SENSOR NETWORKS;

GAUSSIAN DISTRIBUTION;

EID: 84871744673     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2012.2223695     Document Type: Article

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