Sökning: "Gaussian mixtures"

Visar resultat 1 - 5 av 14 avhandlingar innehållade orden Gaussian mixtures.

1. 1. Spatio-Temporal Estimation for Mixture Models and Gaussian Markov Random Fields - Applications to Video Analysis and Environmental Modelling

   Författare :Johan Lindström; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; vegetation; time series analysis; video segmentation; spatio-temporal modelling; precipitation; Markov chain Monte Carlo; Gaussian Markov random fields; expectation maximisation; change point detection; Bayesian recursive estimation; African Sahel; adaptive Gaussian mixtures;

   Sammanfattning : In this thesis computationally intensive methods are used to estimate models and to make inference for large, spatio-temporal data sets. The thesis is divided into two parts: the first two papers are concerned with video analysis, while the last three papers model and investigate environmental data from the Sahel area in northern Africa. LÄS MER

3. 2. Data association algorithms and metric design for trajectory estimation

   Författare :Abu Sajana Rahmathullah; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; metrics; smoothing; expectation maximization; Gaussian mixtures; data association; Trajectory estimation;

   Sammanfattning : This thesis is concerned with trajectory estimation, which finds applications in various fields such as automotive safety and air traffic surveillance. More specifically, the thesis focuses on the data association part of the problem, for single and multiple targets, and on performance metrics. LÄS MER

4. 3. Practical methods for Gaussian mixture filtering and smoothing

   Författare :Abu Sajana Rahmathullah; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : In many applications, there is an interest in systematically and sequentially estimating quantities of interest in a dynamical system, using indirect and inaccurate sensor observations. There are three important sub-problems of sequential estimation: prediction, filtering and smoothing. LÄS MER

5. 4. On Robot Feedback from Range Sensors : Reliable Control by Active Reduction of Uncertainty and Ambiguities

   Författare :Jonas Nygårds; John Hallam; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; robot gripping and docking; LQG-feedback; posture estimation; Gaussian sum; optronic sensing; sheet of light range camera; time-of-flight laser; specular reflection s; multiple scattering; range ghosts ; active reduction of ambiguities; reliability; uncertainty; tolerances;

   Sammanfattning : This thesis is on modelling and experimental tests when non contact sensing isused for feedback control in robotics. The motion of the robot is to be controlled relative to objects in the surrounding workspace during operations like gripping/docking, surface following, shape measuring etc. LÄS MER

7. 5. Bayesian Modeling of Conditional Densities

   Författare :Feng Li; Mattias Villani; Sylvia Frühwirth-Schnatter; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian inference; Density estimation; smooth mixtures; surface regression; copulas; Markov chain Monte Carlo; Statistics; statistik;

   Sammanfattning : This thesis develops models and associated Bayesian inference methods for flexible univariate and multivariate conditional density estimation. The models are flexible in the sense that they can capture widely differing shapes of the data. The estimation methods are specifically designed to achieve flexibility while still avoiding overfitting. LÄS MER