Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Particle filtering). Showing records 91 – 120 of 124 total matches.

[1] [2] [3] [4] [5]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

Languages

Country

▼ Search Limiters

91. Enright, Catherine. A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams .

Degree: 2012, National University of Ireland – Galway

 This thesis presents a new probability-based framework which exploits existing domain knowledge in the form of mathematical models and uses real-time data streams to individualise… (more)

Subjects/Keywords: Dynamic Bayesian networks; Ordinary differencial equations; Adaptive-time particle filtering; Glycaemia; Engineering and Informatics

Particle Filtering algorithm for performing inference on our DBN framework. The importance of… …Therefore, we propose a new algorithm, called Adaptive-Time Particle Filtering, as an alternative… …to the standard fixed time step particle filtering. In Adaptive-Time Particle Filtering… …with the new particle-filtering algorithm is applied to the problem of modelling glycaemia in… …brief background is presented on DBNs and particle filtering, as they form the basis of the… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Enright, C. (2012). A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams . (Thesis). National University of Ireland – Galway. Retrieved from http://hdl.handle.net/10379/3572

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Enright, Catherine. “A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams .” 2012. Thesis, National University of Ireland – Galway. Accessed December 08, 2019. http://hdl.handle.net/10379/3572.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Enright, Catherine. “A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams .” 2012. Web. 08 Dec 2019.

Vancouver:

Enright C. A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams . [Internet] [Thesis]. National University of Ireland – Galway; 2012. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10379/3572.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Enright C. A Probabilistic Framework Based on Mathematical Models with Application to Medical Data Streams . [Thesis]. National University of Ireland – Galway; 2012. Available from: http://hdl.handle.net/10379/3572

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

92. Long, Yuan. Data Assimilation for Spatial Temporal Simulations Using Localized Particle Filtering.

Degree: PhD, Computer Science, 2016, Georgia State University

  As sensor data becomes more and more available, there is an increasing interest in assimilating real time sensor data into spatial temporal simulations to… (more)

Subjects/Keywords: Data assimilation; Particle filtering; Hard/Soft data; Spatial temporal simulations; Wildfire simulation

…16 SPATIALLY DEPENDENT PARTICLE FILTERING FRAMEWORK ........ 18 3.7 4 Distributed and… …66 Table 6.1: Comparisons on the general PFs steps among four kinds of particle filtering… …methods 85 Table 6.2: Comparisons on potential issues among four kinds of particle filtering… …spatially dependent particle filtering method. ................................... 22 Figure 3.3… …84 Figure 6.5 Simulation results at last time step for three particle filtering methods in… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Long, Y. (2016). Data Assimilation for Spatial Temporal Simulations Using Localized Particle Filtering. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/115

Chicago Manual of Style (16th Edition):

Long, Yuan. “Data Assimilation for Spatial Temporal Simulations Using Localized Particle Filtering.” 2016. Doctoral Dissertation, Georgia State University. Accessed December 08, 2019. https://scholarworks.gsu.edu/cs_diss/115.

MLA Handbook (7th Edition):

Long, Yuan. “Data Assimilation for Spatial Temporal Simulations Using Localized Particle Filtering.” 2016. Web. 08 Dec 2019.

Vancouver:

Long Y. Data Assimilation for Spatial Temporal Simulations Using Localized Particle Filtering. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2019 Dec 08]. Available from: https://scholarworks.gsu.edu/cs_diss/115.

Council of Science Editors:

Long Y. Data Assimilation for Spatial Temporal Simulations Using Localized Particle Filtering. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/cs_diss/115

93. Zhu, Junda. Online Industrial Lubrication Oil Health Condition Monitoring, Diagnosis and Prognostics.

Degree: 2013, University of Illinois – Chicago

 to increase wind energy production rate, there is an urging need to improve the wind turbine availability and reduce the operational and maintenance costs. The… (more)

Subjects/Keywords: lubrication oil; dielectric constant; viscosity; condition monitoring; particle filtering; wind turbine

…Conceptual illustrations of particle filtering techniques… …98 Figure 4.8 Particle filtering technique implementation… …Dependent Resistor PDF Probability Distribution Function PF Particle Filtering PHM… …lubricant. Particle filtering techniques are introduced and adapted to predict the remaining… …useful life prediction. 3) With the help of particle filtering technique, the remaining… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhu, J. (2013). Online Industrial Lubrication Oil Health Condition Monitoring, Diagnosis and Prognostics. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/10164

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhu, Junda. “Online Industrial Lubrication Oil Health Condition Monitoring, Diagnosis and Prognostics.” 2013. Thesis, University of Illinois – Chicago. Accessed December 08, 2019. http://hdl.handle.net/10027/10164.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhu, Junda. “Online Industrial Lubrication Oil Health Condition Monitoring, Diagnosis and Prognostics.” 2013. Web. 08 Dec 2019.

Vancouver:

Zhu J. Online Industrial Lubrication Oil Health Condition Monitoring, Diagnosis and Prognostics. [Internet] [Thesis]. University of Illinois – Chicago; 2013. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10027/10164.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhu J. Online Industrial Lubrication Oil Health Condition Monitoring, Diagnosis and Prognostics. [Thesis]. University of Illinois – Chicago; 2013. Available from: http://hdl.handle.net/10027/10164

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Linköping University

94. Torstensson, Johan. Particle Filtering for Track Before Detect Applications.

Degree: Electrical Engineering, 2005, Linköping University

  Integrated tracking and detection, based on unthresholded measurements, also referred to as track before detect (TBD) is a hard nonlinear and non-Gaussian dynamical estimation… (more)

Subjects/Keywords: Particle Filter; Target Tracking; Track Before Detect; TBD; Bayesian Estimation; Monte Carlo Methods; Nonlinear Filtering.; Signal processing; Signalbehandling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Torstensson, J. (2005). Particle Filtering for Track Before Detect Applications. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4046

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Torstensson, Johan. “Particle Filtering for Track Before Detect Applications.” 2005. Thesis, Linköping University. Accessed December 08, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4046.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Torstensson, Johan. “Particle Filtering for Track Before Detect Applications.” 2005. Web. 08 Dec 2019.

Vancouver:

Torstensson J. Particle Filtering for Track Before Detect Applications. [Internet] [Thesis]. Linköping University; 2005. [cited 2019 Dec 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4046.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Torstensson J. Particle Filtering for Track Before Detect Applications. [Thesis]. Linköping University; 2005. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4046

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

95. Huang, Henry. Bearing-only SLAM : a vision-based navigation system for autonomous robots.

Degree: 2008, Queensland University of Technology

 To navigate successfully in a previously unexplored environment, a mobile robot must be able to estimate the spatial relationships of the objects of interest accurately.… (more)

Subjects/Keywords: robot navigation, mobile robot, autonomous lawnmower, household lawnmower, simultaneous localization and mapping, bearing-only SLAM, visual SLAM, landmark initialization, localization, mapping, omnidirectional camera, stereo vision; structure from motion, indistinguishable landmark, unknown data association, particle filtering, probability density function, object occlusion

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, H. (2008). Bearing-only SLAM : a vision-based navigation system for autonomous robots. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/28599/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Henry. “Bearing-only SLAM : a vision-based navigation system for autonomous robots.” 2008. Thesis, Queensland University of Technology. Accessed December 08, 2019. https://eprints.qut.edu.au/28599/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Henry. “Bearing-only SLAM : a vision-based navigation system for autonomous robots.” 2008. Web. 08 Dec 2019.

Vancouver:

Huang H. Bearing-only SLAM : a vision-based navigation system for autonomous robots. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2019 Dec 08]. Available from: https://eprints.qut.edu.au/28599/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang H. Bearing-only SLAM : a vision-based navigation system for autonomous robots. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/28599/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

96. Field, Graeme. Particle Filters for State Estimation of Confined Aquifers.

Degree: 2018, University of North Florida

 Mathematical models are used in engineering and the sciences to estimate properties of systems of interest, increasing our understanding of the surrounding world and driving… (more)

Subjects/Keywords: Thesis; University of North Florida; UNF; Dissertations, Academic  – UNF  – Master of Science in Electrical Engineering; Dissertations, Academic  – UNF  – Engineering; Particle Filtering; State Estimation; Water Resources; Groundwater Hydrology; Controls and Control Theory; Non-linear Dynamics; Other Civil and Environmental Engineering; Probability

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Field, G. (2018). Particle Filters for State Estimation of Confined Aquifers. (Thesis). University of North Florida. Retrieved from https://digitalcommons.unf.edu/etd/804

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Field, Graeme. “Particle Filters for State Estimation of Confined Aquifers.” 2018. Thesis, University of North Florida. Accessed December 08, 2019. https://digitalcommons.unf.edu/etd/804.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Field, Graeme. “Particle Filters for State Estimation of Confined Aquifers.” 2018. Web. 08 Dec 2019.

Vancouver:

Field G. Particle Filters for State Estimation of Confined Aquifers. [Internet] [Thesis]. University of North Florida; 2018. [cited 2019 Dec 08]. Available from: https://digitalcommons.unf.edu/etd/804.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Field G. Particle Filters for State Estimation of Confined Aquifers. [Thesis]. University of North Florida; 2018. Available from: https://digitalcommons.unf.edu/etd/804

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

97. WANG YADONG. Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking.

Degree: 2008, National University of Singapore

Subjects/Keywords: Bayesian filtering; target tracking; particle filter; sequential Monte Carlo method; random set; probability hypothesis density

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

YADONG, W. (2008). Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/28161

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

YADONG, WANG. “Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking.” 2008. Thesis, National University of Singapore. Accessed December 08, 2019. http://scholarbank.nus.edu.sg/handle/10635/28161.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

YADONG, WANG. “Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking.” 2008. Web. 08 Dec 2019.

Vancouver:

YADONG W. Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking. [Internet] [Thesis]. National University of Singapore; 2008. [cited 2019 Dec 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/28161.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

YADONG W. Stochastic methods for bayesian filtering and their applications to multicamera multitarget tracking. [Thesis]. National University of Singapore; 2008. Available from: http://scholarbank.nus.edu.sg/handle/10635/28161

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

98. Datta Gupta, Syamantak. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.

Degree: 2009, University of Waterloo

 Non-linear Bayesian estimation, or estimation of the state of a non-linear stochastic system from a set of indirect noisy measurements is a problem encountered in… (more)

Subjects/Keywords: Bayesian estimation; non-linear filtering; particle filter; ensemble Kalman filter; Monte Carlo methods; Bayesian inference

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Datta Gupta, S. (2009). A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Thesis, University of Waterloo. Accessed December 08, 2019. http://hdl.handle.net/10012/4503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Web. 08 Dec 2019.

Vancouver:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10012/4503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

99. Sutarto, Herman. Adaptive control for traffic signals using a stochastic hybrid system model.

Degree: 2016, Ghent University

Subjects/Keywords: Technology and Engineering; urban traffic control; joint state and parameter estimation; expectation maximization; particle filtering; constrained probabilistic control

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sutarto, H. (2016). Adaptive control for traffic signals using a stochastic hybrid system model. (Thesis). Ghent University. Retrieved from http://hdl.handle.net/1854/LU-7278190

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sutarto, Herman. “Adaptive control for traffic signals using a stochastic hybrid system model.” 2016. Thesis, Ghent University. Accessed December 08, 2019. http://hdl.handle.net/1854/LU-7278190.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sutarto, Herman. “Adaptive control for traffic signals using a stochastic hybrid system model.” 2016. Web. 08 Dec 2019.

Vancouver:

Sutarto H. Adaptive control for traffic signals using a stochastic hybrid system model. [Internet] [Thesis]. Ghent University; 2016. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1854/LU-7278190.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sutarto H. Adaptive control for traffic signals using a stochastic hybrid system model. [Thesis]. Ghent University; 2016. Available from: http://hdl.handle.net/1854/LU-7278190

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

100. Liang, Ke. Oculométrie Numérique Economique : modèle d'apparence et apprentissage par variétés : Eye Tracking system : appearance based model and manifold learning.

Degree: Docteur es, Informatique, mathématique et applications, 2015, Paris, EPHE

L'oculométrie est un ensemble de techniques dédié à enregistrer et analyser les mouvements oculaires. Dans cette thèse, je présente l'étude, la conception et la mise… (more)

Subjects/Keywords: Filtre particulaire; Apprentissage par variétés; Régression par processus gaussien; Suivi des yeux; Extraction des caractéristiques; Oculométrie; Particle filtering; Manifold learning; Gaussian process regression; Eye localization and tracking; Feature extraction; Eye tracking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liang, K. (2015). Oculométrie Numérique Economique : modèle d'apparence et apprentissage par variétés : Eye Tracking system : appearance based model and manifold learning. (Doctoral Dissertation). Paris, EPHE. Retrieved from http://www.theses.fr/2015EPHE3020

Chicago Manual of Style (16th Edition):

Liang, Ke. “Oculométrie Numérique Economique : modèle d'apparence et apprentissage par variétés : Eye Tracking system : appearance based model and manifold learning.” 2015. Doctoral Dissertation, Paris, EPHE. Accessed December 08, 2019. http://www.theses.fr/2015EPHE3020.

MLA Handbook (7th Edition):

Liang, Ke. “Oculométrie Numérique Economique : modèle d'apparence et apprentissage par variétés : Eye Tracking system : appearance based model and manifold learning.” 2015. Web. 08 Dec 2019.

Vancouver:

Liang K. Oculométrie Numérique Economique : modèle d'apparence et apprentissage par variétés : Eye Tracking system : appearance based model and manifold learning. [Internet] [Doctoral dissertation]. Paris, EPHE; 2015. [cited 2019 Dec 08]. Available from: http://www.theses.fr/2015EPHE3020.

Council of Science Editors:

Liang K. Oculométrie Numérique Economique : modèle d'apparence et apprentissage par variétés : Eye Tracking system : appearance based model and manifold learning. [Doctoral Dissertation]. Paris, EPHE; 2015. Available from: http://www.theses.fr/2015EPHE3020


University of North Texas

101. Morita, Yasuhiro. Study of the effects of background and motion camera on the efficacy of Kalman and particle filter algorithms.

Degree: 2009, University of North Texas

 This study compares independent use of two known algorithms (Kalmar filter with background subtraction and Particle Filter) that are commonly deployed in object tracking applications.… (more)

Subjects/Keywords: Kalman filter; color feature; particle filter; Kalman filtering.; Stochastic processes.; Computer vision.; Image processing  – Digital techniques.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Morita, Y. (2009). Study of the effects of background and motion camera on the efficacy of Kalman and particle filter algorithms. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc12166/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Morita, Yasuhiro. “Study of the effects of background and motion camera on the efficacy of Kalman and particle filter algorithms.” 2009. Thesis, University of North Texas. Accessed December 08, 2019. https://digital.library.unt.edu/ark:/67531/metadc12166/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Morita, Yasuhiro. “Study of the effects of background and motion camera on the efficacy of Kalman and particle filter algorithms.” 2009. Web. 08 Dec 2019.

Vancouver:

Morita Y. Study of the effects of background and motion camera on the efficacy of Kalman and particle filter algorithms. [Internet] [Thesis]. University of North Texas; 2009. [cited 2019 Dec 08]. Available from: https://digital.library.unt.edu/ark:/67531/metadc12166/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Morita Y. Study of the effects of background and motion camera on the efficacy of Kalman and particle filter algorithms. [Thesis]. University of North Texas; 2009. Available from: https://digital.library.unt.edu/ark:/67531/metadc12166/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Adelaide

102. Ma, Hui. Collaborative information processing techniques for target tracking in wireless sensor networks.

Degree: 2008, University of Adelaide

 Target tracking is one of the typical applications of wireless sensor networks: a large number of spatially deployed sensor nodes collaboratively sense, process and estimate… (more)

Subjects/Keywords: target tracking; wireless sensor network; Kalman filter; Particle filter; collaborative information processing; Wireless sensor networks. Kalman filtering.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ma, H. (2008). Collaborative information processing techniques for target tracking in wireless sensor networks. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/49462

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ma, Hui. “Collaborative information processing techniques for target tracking in wireless sensor networks.” 2008. Thesis, University of Adelaide. Accessed December 08, 2019. http://hdl.handle.net/2440/49462.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ma, Hui. “Collaborative information processing techniques for target tracking in wireless sensor networks.” 2008. Web. 08 Dec 2019.

Vancouver:

Ma H. Collaborative information processing techniques for target tracking in wireless sensor networks. [Internet] [Thesis]. University of Adelaide; 2008. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2440/49462.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ma H. Collaborative information processing techniques for target tracking in wireless sensor networks. [Thesis]. University of Adelaide; 2008. Available from: http://hdl.handle.net/2440/49462

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Northeastern University

103. Mittelman, Roni. Topics in nonlinear and robust estimation theory.

Degree: PhD, Department of Electrical and Computer Engineering, 2009, Northeastern University

 We propose new methods to improve nonlinear filtering and robust estimation algorithms. In the first part of the dissertation, we propose an approach to approximating… (more)

Subjects/Keywords: Electrical engineering; Particle filtering; Kernel density estimation; Improved fast Gauss transform; Algorithms; Nonlinear theories; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mittelman, R. (2009). Topics in nonlinear and robust estimation theory. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20000021

Chicago Manual of Style (16th Edition):

Mittelman, Roni. “Topics in nonlinear and robust estimation theory.” 2009. Doctoral Dissertation, Northeastern University. Accessed December 08, 2019. http://hdl.handle.net/2047/d20000021.

MLA Handbook (7th Edition):

Mittelman, Roni. “Topics in nonlinear and robust estimation theory.” 2009. Web. 08 Dec 2019.

Vancouver:

Mittelman R. Topics in nonlinear and robust estimation theory. [Internet] [Doctoral dissertation]. Northeastern University; 2009. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2047/d20000021.

Council of Science Editors:

Mittelman R. Topics in nonlinear and robust estimation theory. [Doctoral Dissertation]. Northeastern University; 2009. Available from: http://hdl.handle.net/2047/d20000021


Queens University

104. Manzar, Ahmad. Recursive Bayesian Filtering Through a Mixture of Gaussian and Discrete Particles .

Degree: Electrical and Computer Engineering, Queens University

 Conventional solutions to nonlinear filtering problems fall into two categories, deterministic and stochastic approaches. While the former is heavily used due to low computational demand,… (more)

Subjects/Keywords: Nonlinear Filtering; Nonlinear State Estimation; Bayesian Recursive Estimation; Sequential Monte Carlo; Particle Filters; Tracking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Manzar, A. (n.d.). Recursive Bayesian Filtering Through a Mixture of Gaussian and Discrete Particles . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/23734

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Manzar, Ahmad. “Recursive Bayesian Filtering Through a Mixture of Gaussian and Discrete Particles .” Thesis, Queens University. Accessed December 08, 2019. http://hdl.handle.net/1974/23734.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Manzar, Ahmad. “Recursive Bayesian Filtering Through a Mixture of Gaussian and Discrete Particles .” Web. 08 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Manzar A. Recursive Bayesian Filtering Through a Mixture of Gaussian and Discrete Particles . [Internet] [Thesis]. Queens University; [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1974/23734.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Manzar A. Recursive Bayesian Filtering Through a Mixture of Gaussian and Discrete Particles . [Thesis]. Queens University; Available from: http://hdl.handle.net/1974/23734

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

105. Robinson, Elinirina Iréna. Filtering and uncertainty propagation methods for model-based prognosis : Méthodes de filtrage et de propagation d'incertitudes pour le pronostic à base de modèles.

Degree: Docteur es, Informatique, 2018, Paris, CNAM

Les travaux présentés dans ce mémoire concernent le développement de méthodes de pronostic à base de modèles. Le pronostic à base de modèles a pour… (more)

Subjects/Keywords: Pronostic à base de modèles; Filtrage particulaire; Propagation d'incertitudes; Filtres stochastiques; Méthodes ensemblistes; Analyse de fiabilité; Propagation de fissure; Model-Based prognosis; Particle filtering; Uncertainty propagation; Stochastic filter; Set-Membership framework; Reliability analysis; Fatigue crack growth; 620.004 52

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Robinson, E. I. (2018). Filtering and uncertainty propagation methods for model-based prognosis : Méthodes de filtrage et de propagation d'incertitudes pour le pronostic à base de modèles. (Doctoral Dissertation). Paris, CNAM. Retrieved from http://www.theses.fr/2018CNAM1189

Chicago Manual of Style (16th Edition):

Robinson, Elinirina Iréna. “Filtering and uncertainty propagation methods for model-based prognosis : Méthodes de filtrage et de propagation d'incertitudes pour le pronostic à base de modèles.” 2018. Doctoral Dissertation, Paris, CNAM. Accessed December 08, 2019. http://www.theses.fr/2018CNAM1189.

MLA Handbook (7th Edition):

Robinson, Elinirina Iréna. “Filtering and uncertainty propagation methods for model-based prognosis : Méthodes de filtrage et de propagation d'incertitudes pour le pronostic à base de modèles.” 2018. Web. 08 Dec 2019.

Vancouver:

Robinson EI. Filtering and uncertainty propagation methods for model-based prognosis : Méthodes de filtrage et de propagation d'incertitudes pour le pronostic à base de modèles. [Internet] [Doctoral dissertation]. Paris, CNAM; 2018. [cited 2019 Dec 08]. Available from: http://www.theses.fr/2018CNAM1189.

Council of Science Editors:

Robinson EI. Filtering and uncertainty propagation methods for model-based prognosis : Méthodes de filtrage et de propagation d'incertitudes pour le pronostic à base de modèles. [Doctoral Dissertation]. Paris, CNAM; 2018. Available from: http://www.theses.fr/2018CNAM1189

106. Hongo, Yasunori. Online Learning of Non-Stationary Networks, with Application to Financial Data .

Degree: 2012, Duke University

  In this paper, we propose a new learning algorithm for non-stationary Dynamic Bayesian Networks is proposed. Although a number of effective learning algorithms for… (more)

Subjects/Keywords: Artificial intelligence; Finance; Computer science; Bayesian networks; GARCH; Monte Carlo methods; Particle filtering; structure learning; volatilities

…importance resampling, a commonly used particle filtering algorithm. AR model autoregressive… …employ a particle filtering (PF) approach as a sampling algorithm instead of MCMC, so… …After the filtering step, we change the structure of the graph for each particle. This scheme… …node i at time t. p zi,t Parameters of particle p regarding node i at time t. Gpα, βq Ps… …special case of dynamic Bayesian network whose structure changes over time. PF particle filter… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hongo, Y. (2012). Online Learning of Non-Stationary Networks, with Application to Financial Data . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/5839

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hongo, Yasunori. “Online Learning of Non-Stationary Networks, with Application to Financial Data .” 2012. Thesis, Duke University. Accessed December 08, 2019. http://hdl.handle.net/10161/5839.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hongo, Yasunori. “Online Learning of Non-Stationary Networks, with Application to Financial Data .” 2012. Web. 08 Dec 2019.

Vancouver:

Hongo Y. Online Learning of Non-Stationary Networks, with Application to Financial Data . [Internet] [Thesis]. Duke University; 2012. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10161/5839.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hongo Y. Online Learning of Non-Stationary Networks, with Application to Financial Data . [Thesis]. Duke University; 2012. Available from: http://hdl.handle.net/10161/5839

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Loughborough University

107. Hollis, David. Particle image velocimetry in gas turbine combustor flow fields.

Degree: PhD, 2004, Loughborough University

 Current and future legislation demands ever decreasing levels of pollution from gas turbine engines, and with combustor performance playing a critical role in resultant emissions,… (more)

Subjects/Keywords: 621.433; Particle image velocimetry; Gas turbine engine; Combustor aerodynamics; Sub-grid filtering; Conditional averaging; Flow instabilities; Vortices

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hollis, D. (2004). Particle image velocimetry in gas turbine combustor flow fields. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/7640

Chicago Manual of Style (16th Edition):

Hollis, David. “Particle image velocimetry in gas turbine combustor flow fields.” 2004. Doctoral Dissertation, Loughborough University. Accessed December 08, 2019. http://hdl.handle.net/2134/7640.

MLA Handbook (7th Edition):

Hollis, David. “Particle image velocimetry in gas turbine combustor flow fields.” 2004. Web. 08 Dec 2019.

Vancouver:

Hollis D. Particle image velocimetry in gas turbine combustor flow fields. [Internet] [Doctoral dissertation]. Loughborough University; 2004. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2134/7640.

Council of Science Editors:

Hollis D. Particle image velocimetry in gas turbine combustor flow fields. [Doctoral Dissertation]. Loughborough University; 2004. Available from: http://hdl.handle.net/2134/7640


Loughborough University

108. Pokora, C. D. Spatio-temporal correlations of jets using high-speed particle image velocimetry.

Degree: PhD, 2009, Loughborough University

 The major source of aircraft noise at take-off is jet noise. If jet noise is not adequately addressed environmental impact concerns will constrain the planned… (more)

Subjects/Keywords: 629.133; Particle image velocimetry; Large eddy simulation; Jet noise; Aeroacoustics; Spatia-temporal correlations; Sub-cell filtering; Proper orthogonal decomposition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pokora, C. D. (2009). Spatio-temporal correlations of jets using high-speed particle image velocimetry. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/13185

Chicago Manual of Style (16th Edition):

Pokora, C D. “Spatio-temporal correlations of jets using high-speed particle image velocimetry.” 2009. Doctoral Dissertation, Loughborough University. Accessed December 08, 2019. http://hdl.handle.net/2134/13185.

MLA Handbook (7th Edition):

Pokora, C D. “Spatio-temporal correlations of jets using high-speed particle image velocimetry.” 2009. Web. 08 Dec 2019.

Vancouver:

Pokora CD. Spatio-temporal correlations of jets using high-speed particle image velocimetry. [Internet] [Doctoral dissertation]. Loughborough University; 2009. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2134/13185.

Council of Science Editors:

Pokora CD. Spatio-temporal correlations of jets using high-speed particle image velocimetry. [Doctoral Dissertation]. Loughborough University; 2009. Available from: http://hdl.handle.net/2134/13185

109. Zuo, Long. Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks.

Degree: PhD, Electrical Engineering and Computer Science, 2011, Syracuse University

  Sequential Bayesian estimation is the process of recursively estimating the state of a dynamical system observed in the presence of noise. Posterior Cramer-Rao lower… (more)

Subjects/Keywords: Bayesian estimation; Cramer-Rao lower bound; Particle filtering; sensor networks; target tracking; Electrical and Computer Engineering

…Plot of filtering results by Extended Kalman filter and by particle 41 filter for Example I… …3.4 Plot of filtering results by Extended Kalman filter and by particle 43 filter for… …65 5 Bandwidth-Efficient Distributed Particle Filter for Target Tracking in Sensor… …Distributed Target Tracking . . . . . . . . . . . . . . . . . . . . . 5.3 Tracking Based on Particle… …Particle Filter Estimates . . 5.4.1 Expectation-Maximization Algorithm… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zuo, L. (2011). Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/eecs_etd/301

Chicago Manual of Style (16th Edition):

Zuo, Long. “Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks.” 2011. Doctoral Dissertation, Syracuse University. Accessed December 08, 2019. https://surface.syr.edu/eecs_etd/301.

MLA Handbook (7th Edition):

Zuo, Long. “Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks.” 2011. Web. 08 Dec 2019.

Vancouver:

Zuo L. Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks. [Internet] [Doctoral dissertation]. Syracuse University; 2011. [cited 2019 Dec 08]. Available from: https://surface.syr.edu/eecs_etd/301.

Council of Science Editors:

Zuo L. Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks. [Doctoral Dissertation]. Syracuse University; 2011. Available from: https://surface.syr.edu/eecs_etd/301


University of Victoria

110. Benning, Manjinder. Kalman filtering for computer music applications.

Degree: Dept. of Electrical and Computer Engineering, 2007, University of Victoria

 This thesis discusses the use of Kalman filtering for noise reduction in a 3-D gesture- based computer music controller known as the Radio Drum and… (more)

Subjects/Keywords: Kalman Filtering; Computer Music; Tempo Tracking; Radio Drum; Noise Reduction; Adaptive Filtering; Particle Filtering; Wearable Sensors; Audio Signal Processing; UVic Subject Index::Sciences and Engineering::Engineering::Electrical engineering; UVic Subject Index::Humanities and Social Sciences::Communication and the Arts::Music

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Benning, M. (2007). Kalman filtering for computer music applications. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/205

Chicago Manual of Style (16th Edition):

Benning, Manjinder. “Kalman filtering for computer music applications.” 2007. Masters Thesis, University of Victoria. Accessed December 08, 2019. http://hdl.handle.net/1828/205.

MLA Handbook (7th Edition):

Benning, Manjinder. “Kalman filtering for computer music applications.” 2007. Web. 08 Dec 2019.

Vancouver:

Benning M. Kalman filtering for computer music applications. [Internet] [Masters thesis]. University of Victoria; 2007. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1828/205.

Council of Science Editors:

Benning M. Kalman filtering for computer music applications. [Masters Thesis]. University of Victoria; 2007. Available from: http://hdl.handle.net/1828/205


Université de Bordeaux I

111. Pace, Michele. Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets.

Degree: Docteur es, Mathématiques appliquées, 2011, Université de Bordeaux I

La poursuite multi-cibles a pour objet le suivi d’un ensemble de cibles mobiles à partir de données obtenues séquentiellement. Ce problème est particulièrement complexe du… (more)

Subjects/Keywords: Processus de branchements; Filtres particulaires; Filtrage non-linéaire multi-cibles; Systèmes de particules de type champ moyen; Semi-groupes de Feynman-Kac; Filtre PHD; Propriétés de concentration exponentielle; Inégalités de contraction fonctionnelles; Measure-valued equations; Non-linear multi-target filtering; Bernoulli filter; Probability Hypothesis Density filter; Interacting particle systems; Particle filters; Sequential Monte Carlo methods; Exponential concentration inequalities; Semigroup stability; Functional contraction inequalities

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pace, M. (2011). Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2011BOR14291

Chicago Manual of Style (16th Edition):

Pace, Michele. “Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets.” 2011. Doctoral Dissertation, Université de Bordeaux I. Accessed December 08, 2019. http://www.theses.fr/2011BOR14291.

MLA Handbook (7th Edition):

Pace, Michele. “Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets.” 2011. Web. 08 Dec 2019.

Vancouver:

Pace M. Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2011. [cited 2019 Dec 08]. Available from: http://www.theses.fr/2011BOR14291.

Council of Science Editors:

Pace M. Stochastic models and methods for multi-object tracking : Méthodes et modèles stochastiques pour le suivi multi-objets. [Doctoral Dissertation]. Université de Bordeaux I; 2011. Available from: http://www.theses.fr/2011BOR14291


Georgia Tech

112. Oh, Seung-Min. Nonlinear Estimation for Vision-Based Air-to-Air Tracking.

Degree: PhD, Aerospace Engineering, 2007, Georgia Tech

 Unmanned aerial vehicles (UAV's) have been the focus of significant research interest in both military and commercial areas since they have a variety of practical… (more)

Subjects/Keywords: Nonlinear estimation; Integrated navigation; Vision-based tracking; Target tracking; Unscented Kalman filter; Particle filters; Drone aircraft; Guidance systems (Flight); Algorithms; Detectors; Kalman filtering; Target acquisition; Computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Oh, S. (2007). Nonlinear Estimation for Vision-Based Air-to-Air Tracking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19882

Chicago Manual of Style (16th Edition):

Oh, Seung-Min. “Nonlinear Estimation for Vision-Based Air-to-Air Tracking.” 2007. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/19882.

MLA Handbook (7th Edition):

Oh, Seung-Min. “Nonlinear Estimation for Vision-Based Air-to-Air Tracking.” 2007. Web. 08 Dec 2019.

Vancouver:

Oh S. Nonlinear Estimation for Vision-Based Air-to-Air Tracking. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/19882.

Council of Science Editors:

Oh S. Nonlinear Estimation for Vision-Based Air-to-Air Tracking. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/19882

113. Lee, Jehoon. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 Computer vision is the science that studies how machines understand scenes and automatically make decisions based on meaningful information extracted from an image or multi-dimensional… (more)

Subjects/Keywords: Computer vision; Visual tracking; Image segmentation; Pose estimation; Shape analysis; Particle filtering; Active contours; Image processing; Pattern recognition systems; Algorithms

…imagery by combining particle filtering and geometric active contours. Range information is… …advantage of knowledge of a 3D model of an object and we employ particle filtering to generate… …data by combining particle filtering and statistics-based active contour models. • Effective… …deformable objects in a sequence consisting of 3D range data by combining particle filtering and… …Bayesian state estimation with particle filtering. These ideas are extensively used to design… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lee, J. (2012). Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43582

Chicago Manual of Style (16th Edition):

Lee, Jehoon. “Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition.” 2012. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/43582.

MLA Handbook (7th Edition):

Lee, Jehoon. “Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition.” 2012. Web. 08 Dec 2019.

Vancouver:

Lee J. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/43582.

Council of Science Editors:

Lee J. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43582

114. Ma, Jinghua. Development of Integrated Prognostics: Application to Bearing and Bevel Gear Life Prediction.

Degree: 2012, University of Illinois – Chicago

 Prognosis and health management (PHM) for complex systems have become more and more important when the economic impact of reliability related issues and the cost… (more)

Subjects/Keywords: Prognosis and health management; Particle filtering; Steel bearing; Hybrid ceramic bearing; Bevel gear; Data mining; Arima model.

…30 Figure 4. The particle filtering based prognostics algorithm… …34 Figure 7. Particle filtering scheme of presented methodology… …46 Figure 16. Particle filtering flowchart… …Figure 28. Particle filtering based gear prognostics framework… …integrated machinery prognostic methodology based on particle filtering has been developed. In… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ma, J. (2012). Development of Integrated Prognostics: Application to Bearing and Bevel Gear Life Prediction. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/9181

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ma, Jinghua. “Development of Integrated Prognostics: Application to Bearing and Bevel Gear Life Prediction.” 2012. Thesis, University of Illinois – Chicago. Accessed December 08, 2019. http://hdl.handle.net/10027/9181.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ma, Jinghua. “Development of Integrated Prognostics: Application to Bearing and Bevel Gear Life Prediction.” 2012. Web. 08 Dec 2019.

Vancouver:

Ma J. Development of Integrated Prognostics: Application to Bearing and Bevel Gear Life Prediction. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10027/9181.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ma J. Development of Integrated Prognostics: Application to Bearing and Bevel Gear Life Prediction. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/9181

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

115. Chavali, Srinivas Phani Kumar. Multiple-Target Tracking in Complex Scenarios.

Degree: PhD, Electrical and Systems Engineering, 2013, Washington University in St. Louis

  In this dissertation, we develop computationally efficient algorithms for multiple-target tracking: MTT) in complex scenarios. For each of these scenarios, we develop measurement and… (more)

Subjects/Keywords: data association; game theory; particle filtering; sequential bayesian estimation; sparse model; target tracking; Electrical and Computer Engineering

…Gaussian models. 6 1.1.2 Particle Filtering Particle filtering [18], [19]… …x5B;20] is a Monte Carlo approach to address the Bayesian filtering, and particle… …samples with equal weights. Resampling is a crucial step 8 in particle filtering, since after… …targets simultaneously. We then use particle filtering on the reduced dimensional state of each… …the assumption that the channel state is known. We develop a new particle filter called the… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chavali, S. P. K. (2013). Multiple-Target Tracking in Complex Scenarios. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/1180

Chicago Manual of Style (16th Edition):

Chavali, Srinivas Phani Kumar. “Multiple-Target Tracking in Complex Scenarios.” 2013. Doctoral Dissertation, Washington University in St. Louis. Accessed December 08, 2019. https://openscholarship.wustl.edu/etd/1180.

MLA Handbook (7th Edition):

Chavali, Srinivas Phani Kumar. “Multiple-Target Tracking in Complex Scenarios.” 2013. Web. 08 Dec 2019.

Vancouver:

Chavali SPK. Multiple-Target Tracking in Complex Scenarios. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2013. [cited 2019 Dec 08]. Available from: https://openscholarship.wustl.edu/etd/1180.

Council of Science Editors:

Chavali SPK. Multiple-Target Tracking in Complex Scenarios. [Doctoral Dissertation]. Washington University in St. Louis; 2013. Available from: https://openscholarship.wustl.edu/etd/1180

116. Li, Jichuan. Distributed Target Tracking and Synchronization in Wireless Sensor Networks.

Degree: PhD, Electrical & Systems Engineering, 2016, Washington University in St. Louis

  Wireless sensor networks provide useful information for various applications but pose challenges in scalable information processing and network maintenance. This dissertation focuses on statistical… (more)

Subjects/Keywords: clock synchronization; distributed particle filtering; Gaussian mixture model; information fusion; wireless sensor networks; Engineering; Statistics and Probability

…networks. We perform target tracking using particle filtering. For scalability, we extend… …centralized particle filtering to distributed particle filtering via distributed fusion of local… …under the Monte Carlo approximations used by particle filtering in target tracking. Numerical… …topic, we study distributed particle filtering for distributed target tracking; in the second… …Distributed particle filtering A particle filter implemented in a distributed fashion is called… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, J. (2016). Distributed Target Tracking and Synchronization in Wireless Sensor Networks. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/158

Chicago Manual of Style (16th Edition):

Li, Jichuan. “Distributed Target Tracking and Synchronization in Wireless Sensor Networks.” 2016. Doctoral Dissertation, Washington University in St. Louis. Accessed December 08, 2019. https://openscholarship.wustl.edu/eng_etds/158.

MLA Handbook (7th Edition):

Li, Jichuan. “Distributed Target Tracking and Synchronization in Wireless Sensor Networks.” 2016. Web. 08 Dec 2019.

Vancouver:

Li J. Distributed Target Tracking and Synchronization in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2016. [cited 2019 Dec 08]. Available from: https://openscholarship.wustl.edu/eng_etds/158.

Council of Science Editors:

Li J. Distributed Target Tracking and Synchronization in Wireless Sensor Networks. [Doctoral Dissertation]. Washington University in St. Louis; 2016. Available from: https://openscholarship.wustl.edu/eng_etds/158


Virginia Tech

117. Eckstein, Adric. Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering.

Degree: MS, Mechanical Engineering, 2007, Virginia Tech

 Digital Particle Image Velocimetry (DPIV) is a planar measurement technique to measure the velocity within a fluid by correlating the motion of flow tracers over… (more)

Subjects/Keywords: nonlinear least squares regression; phase correlation; generalized cross correlation; time delay estimation; Digital Particle Image Velocimetry; DPIV; image processing; digital signal decomposition; digital filtering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Eckstein, A. (2007). Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/36338

Chicago Manual of Style (16th Edition):

Eckstein, Adric. “Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering.” 2007. Masters Thesis, Virginia Tech. Accessed December 08, 2019. http://hdl.handle.net/10919/36338.

MLA Handbook (7th Edition):

Eckstein, Adric. “Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering.” 2007. Web. 08 Dec 2019.

Vancouver:

Eckstein A. Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering. [Internet] [Masters thesis]. Virginia Tech; 2007. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10919/36338.

Council of Science Editors:

Eckstein A. Development of Robust Correlation Algorithms for Image Velocimetry using Advanced Filtering. [Masters Thesis]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/36338


Brigham Young University

118. Bradley, Justin Mathew. Particle Filter Based Mosaicking for Forest Fire Tracking.

Degree: MS, 2007, Brigham Young University

 Using autonomous miniature air vehicles (MAVs) is a cost-effective, simple method for collecting data about the size, shape, and location characteristics of a forest fire.… (more)

Subjects/Keywords: MAV; UAV; forest fire tracking; mosaic; particle filter; remote sensing; computer vision; sequential monte carlo; MAGICC lab; infrared; geolocation; bayesian filtering; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bradley, J. M. (2007). Particle Filter Based Mosaicking for Forest Fire Tracking. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1982&context=etd

Chicago Manual of Style (16th Edition):

Bradley, Justin Mathew. “Particle Filter Based Mosaicking for Forest Fire Tracking.” 2007. Masters Thesis, Brigham Young University. Accessed December 08, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1982&context=etd.

MLA Handbook (7th Edition):

Bradley, Justin Mathew. “Particle Filter Based Mosaicking for Forest Fire Tracking.” 2007. Web. 08 Dec 2019.

Vancouver:

Bradley JM. Particle Filter Based Mosaicking for Forest Fire Tracking. [Internet] [Masters thesis]. Brigham Young University; 2007. [cited 2019 Dec 08]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1982&context=etd.

Council of Science Editors:

Bradley JM. Particle Filter Based Mosaicking for Forest Fire Tracking. [Masters Thesis]. Brigham Young University; 2007. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1982&context=etd

119. Saenz, Juan P. Simulation-Based Optimization for Integrated Electric Utility Resource Planning and Deployment.

Degree: PhD, Industrial Engineering (Engineering), 2013, University of Miami

  We have studied integrated electric utility networks in terms of long-term electric utility resource planning, short-term environmental economic load dispatch, and the optimal deployment… (more)

Subjects/Keywords: Electric Utility Planning; Modular Simulation; Multi-objective Optimization; Particle Filtering; Environmental Economic Load Dispatch; Deployment of Distributed Generation

…and Optimization 107 4 Multi-objective Optimization based on Particle Filtering 109 4.1… …Overview of Particle Filtering 109 4.2 Particle Filtering-based Optimization 111 4.3… …objective Optimization based on Particle Filtering 5 119 Economic and Environmental Load… …Dispatching Framework using Particle Filtering 135 5.1 Formulation of the EELD Problem 137 5.2… …on particle filtering, including the proposed contribution 25 Figure 4: Overview of the… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Saenz, J. P. (2013). Simulation-Based Optimization for Integrated Electric Utility Resource Planning and Deployment. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/1116

Chicago Manual of Style (16th Edition):

Saenz, Juan P. “Simulation-Based Optimization for Integrated Electric Utility Resource Planning and Deployment.” 2013. Doctoral Dissertation, University of Miami. Accessed December 08, 2019. https://scholarlyrepository.miami.edu/oa_dissertations/1116.

MLA Handbook (7th Edition):

Saenz, Juan P. “Simulation-Based Optimization for Integrated Electric Utility Resource Planning and Deployment.” 2013. Web. 08 Dec 2019.

Vancouver:

Saenz JP. Simulation-Based Optimization for Integrated Electric Utility Resource Planning and Deployment. [Internet] [Doctoral dissertation]. University of Miami; 2013. [cited 2019 Dec 08]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1116.

Council of Science Editors:

Saenz JP. Simulation-Based Optimization for Integrated Electric Utility Resource Planning and Deployment. [Doctoral Dissertation]. University of Miami; 2013. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1116


University of Queensland

120. Smith, Andrew W. B. Techniques for binocular markerless visual tracking of 3D articulated bodies.

Degree: School of Information Technology and Electrical Engineering, 2016, University of Queensland

Subjects/Keywords: Human motion estimation; State space selection; Optimization; Camera geometry; Generative models; Particle filtering; Human body tracking; Visual tracking; Measurement function design; 080104 Computer Vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Smith, A. W. B. (2016). Techniques for binocular markerless visual tracking of 3D articulated bodies. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:388328

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Smith, Andrew W B. “Techniques for binocular markerless visual tracking of 3D articulated bodies.” 2016. Thesis, University of Queensland. Accessed December 08, 2019. http://espace.library.uq.edu.au/view/UQ:388328.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Smith, Andrew W B. “Techniques for binocular markerless visual tracking of 3D articulated bodies.” 2016. Web. 08 Dec 2019.

Vancouver:

Smith AWB. Techniques for binocular markerless visual tracking of 3D articulated bodies. [Internet] [Thesis]. University of Queensland; 2016. [cited 2019 Dec 08]. Available from: http://espace.library.uq.edu.au/view/UQ:388328.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Smith AWB. Techniques for binocular markerless visual tracking of 3D articulated bodies. [Thesis]. University of Queensland; 2016. Available from: http://espace.library.uq.edu.au/view/UQ:388328

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

[1] [2] [3] [4] [5]

.