{"id":"W2161435744","doi":"10.1109/taes.2005.1561884","title":"Sequential monte carlo methods for multi-target filtering with random finite sets","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":1236,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Monte Carlo method; Particle filter; Filter (signal processing); Algorithm; Moment (physics); Computer science; Bayesian probability; Convergence (economics); Finite set; Set (abstract data type); Probability density function; Posterior probability; Nonlinear system; Mathematics; Mathematical optimization; Applied mathematics; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916473054150436,"score_gpt":0.306869947200782,"score_spread":0.2777052166592776,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}