Essays about: "Bayesian Gaussian mixture models"

Showing result 1 - 5 of 6 essays containing the words Bayesian Gaussian mixture models.

1. 1. Multidimensional Classification of Radar Signals : A comparison between unidimensional and multidimensional classification models for pulsed radar signals

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Max Ek Törmä; [2023]
   Keywords : pulsed radar classification; Bayesian Gaussian mixture models; Dirichlet process mixture models; multidimensional radar classification; pulsed radar signals; radar signal classification;

   Abstract : Radar is a technique used by many different types of remote sensing systems to keep track of their surroundings. The transmitted radar signals may carry information that could be used to infer the type of transmitter. Multiple papers have investigated the classification of pulse repetition intervals produced by radar systems. READ MORE

3. 2. Out-of-distribution Recognition and Classification of Time-Series Pulsed Radar Signals

   University essay from KTH/Matematisk statistik

   Author : Paul Hedvall; [2022]
   Keywords : Out-of-Distribution; Gaussian Mixture Models; Dirichlet Process Mixture Models; Deinterleaving; Radar classification; Time-series analysis; Pulsed radar signals; Out-of-Distribution; Gaussian Mixture Models; Dirichlet Process Mixture Models; Deinterleaving; Radar classification; Time-series analysis; Pulsed radar signals;

   Abstract : This thesis investigates out-of-distribution recognition for time-series data of pulsedradar signals. The classifier is a naive Bayesian classifier based on Gaussian mixturemodels and Dirichlet process mixture models. READ MORE

4. 3. VePMAD: A Vehicular Platoon Management Anomaly Detection System : A Case Study of Car-following Mode, Middle Join and Exit Maneuvers

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Weaam Bayaa; [2021]
   Keywords : MDS; GMMHMM; PMP; Machine Learning; Bayesian information Criterion BIC ; Platoon Behavior Recognition; MDS; GMMHMM; PMP; Maskininlärnings; BIC; Plutonbeteendeigenkänning;

   Abstract : Vehicle communication using sensors and wireless channels plays an important role to allow exchanging information. Adding more components to allow exchanging more information with infrastructure enhanced the capabilities of vehicles and enabled the rise of Cooperative Intelligent Transport Systems (C-ITS). READ MORE

5. 4. Particle-Based Online Bayesian Learning of Static Parameters with Application to Mixture Models

   University essay from KTH/Matematisk statistik

   Author : Rutger Fuglesang; [2020]
   Keywords : Statistics; applied mathematics; sequential monte carlo; SMC; Statistical inference; Statisk; sekventiell monte carlo; SMC; tillämpad matematik;

   Abstract : This thesis investigates the possibility of using Sequential Monte Carlo methods (SMC) to create an online algorithm to infer properties from a dataset, such as unknown model parameters. Statistical inference from data streams tends to be difficult, and this is particularly the case for parametric models, which will be the focus of this paper. READ MORE

6. 5. Optimizing process parameters to increase the quality of the output in a separator : An application of Deep Kernel Learning in combination with the Basin-hopping optimizer

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Eric Herwin; [2019]
   Keywords : Industrial process; Optimization; Gaussian Process; Deep Kernel Learning; Basin-hopping;

   Abstract : Achieving optimal efficiency of production in the industrial sector is a process that is continuously under development. In several industrial installations separators, produced by Alfa Laval, may be found, and therefore it is of interest to make these separators operate more efficiently. READ MORE