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University of Florida

1. Pokharel, Rosha. Robust Kernel Adaptive Learning for Online Supervised Systems.

Degree: PhD, Electrical and Computer Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0046621

► Kernel methods are popular for their unique ability to solve non-linear problems linearly by the implicit mapping of data into high dimension feature space. They…
(more)

Subjects/Keywords: Adaptive filters; Datasets; Error rates; Learning; Learning rate; Machine learning; Online learning; Signal processing; Signals; Time series; adaptive – classification – correntropy – filtering – kernel – mixture-kernel – multi-kernel – online – rkhs

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

APA (6^{th} Edition):

Pokharel, R. (2014). Robust Kernel Adaptive Learning for Online Supervised Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046621

Chicago Manual of Style (16^{th} Edition):

Pokharel, Rosha. “Robust Kernel Adaptive Learning for Online Supervised Systems.” 2014. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0046621.

MLA Handbook (7^{th} Edition):

Pokharel, Rosha. “Robust Kernel Adaptive Learning for Online Supervised Systems.” 2014. Web. 16 Sep 2019.

Vancouver:

Pokharel R. Robust Kernel Adaptive Learning for Online Supervised Systems. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0046621.

Council of Science Editors:

Pokharel R. Robust Kernel Adaptive Learning for Online Supervised Systems. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046621

University of Florida

2. Chalasani, Rakesh. A Hierarchical Dynamic Model for Object Recognition.

Degree: PhD, Electrical and Computer Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0046204

► This work focuses on building a hierarchical dynamic model for object recognition in video. It is inspired from predictive coding framework that is used to…
(more)

Subjects/Keywords: Architectural models; Contextual information; Datasets; Dynamic modeling; Inference; Machine learning; Modeling; Multilevel models; Object recognition; Signals; cortex – deep – hierarchy – learning – recognition

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

APA (6^{th} Edition):

Chalasani, R. (2013). A Hierarchical Dynamic Model for Object Recognition. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046204

Chicago Manual of Style (16^{th} Edition):

Chalasani, Rakesh. “A Hierarchical Dynamic Model for Object Recognition.” 2013. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0046204.

MLA Handbook (7^{th} Edition):

Chalasani, Rakesh. “A Hierarchical Dynamic Model for Object Recognition.” 2013. Web. 16 Sep 2019.

Vancouver:

Chalasani R. A Hierarchical Dynamic Model for Object Recognition. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0046204.

Council of Science Editors:

Chalasani R. A Hierarchical Dynamic Model for Object Recognition. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0046204

University of Florida

3. Feng, Wei. Charge Transport Analysis for Lightning.

Degree: PhD, Mathematics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0046174

► Charge rearrangement is analyzed for an intracloud flash on August 24th 2007. The analysis employed data from a balloon borne electric field sensor, or Esonde,…
(more)

Subjects/Keywords: Altitude; Charge density; Electric current; Electric fields; Geometric planes; Ionospheric currents; Lightning; Sprites; Storms; Thunderstorms; charge-transport – electric-field – lightning – sprite

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APA (6^{th} Edition):

Feng, W. (2013). Charge Transport Analysis for Lightning. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046174

Chicago Manual of Style (16^{th} Edition):

Feng, Wei. “Charge Transport Analysis for Lightning.” 2013. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0046174.

MLA Handbook (7^{th} Edition):

Feng, Wei. “Charge Transport Analysis for Lightning.” 2013. Web. 16 Sep 2019.

Vancouver:

Feng W. Charge Transport Analysis for Lightning. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0046174.

Council of Science Editors:

Feng W. Charge Transport Analysis for Lightning. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0046174

University of Florida

4. Chen, Fuhua. Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications.

Degree: PhD, Mathematics, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044393

► Image segmentation is the first stage of image processing and analysis. The result of image segmentation is used for image post-processing. In computer vision, segmentation…
(more)

Subjects/Keywords: Algorithms; Approximation; Computer vision; Gaussian distributions; Gray matter; Image processing; Membership functions; Pixels; Stochastic models; White matter; image – multiphase – processing – segmentation – supervised

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

APA (6^{th} Edition):

Chen, F. (2012). Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044393

Chicago Manual of Style (16^{th} Edition):

Chen, Fuhua. “Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications.” 2012. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0044393.

MLA Handbook (7^{th} Edition):

Chen, Fuhua. “Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications.” 2012. Web. 16 Sep 2019.

Vancouver:

Chen F. Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0044393.

Council of Science Editors:

Chen F. Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044393

University of Florida

5. Phan, Dung. Topics in Global Optimization Ellipsoidal Bisection, Graph Partitioning and Sparse Reconstruction.

Degree: PhD, Mathematics, 2010, University of Florida

URL: http://ufdc.ufl.edu/UFE0041470

► In this dissertation, we develop theories and practical algorithms for optimization problems which arise from science, economics and engineering. First, an ellipsoidal branch and bound…
(more)

Subjects/Keywords: Algorithms; Approximation; Ellipsoids; Function values; Integers; Linear programming; Mathematics; Objective functions; Quadratic programming; Underestimates; bound, branch, convex, global, graph, image, nonmonotone, nonsmooth, optimization, partitioning, quadratic, reconstruction, sparse, sublinear, underestimation

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APA (6^{th} Edition):

Phan, D. (2010). Topics in Global Optimization Ellipsoidal Bisection, Graph Partitioning and Sparse Reconstruction. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041470

Chicago Manual of Style (16^{th} Edition):

Phan, Dung. “Topics in Global Optimization Ellipsoidal Bisection, Graph Partitioning and Sparse Reconstruction.” 2010. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0041470.

MLA Handbook (7^{th} Edition):

Phan, Dung. “Topics in Global Optimization Ellipsoidal Bisection, Graph Partitioning and Sparse Reconstruction.” 2010. Web. 16 Sep 2019.

Vancouver:

Phan D. Topics in Global Optimization Ellipsoidal Bisection, Graph Partitioning and Sparse Reconstruction. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0041470.

Council of Science Editors:

Phan D. Topics in Global Optimization Ellipsoidal Bisection, Graph Partitioning and Sparse Reconstruction. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041470

University of Florida

6. Liu, Meng. Modeling and Algorithms for Compressive Magnetic Resonance (MR) Image Reconstruction.

Degree: PhD, Mathematics, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0047481

This thesis is devoted to mathematical modelings and numerical algorithms developing for solving image reconstruction problems arising from single- or multi-contrast compressive magnetic resonance (MR) imaging.
*Advisors/Committee Members: CHEN,YUNMEI (committee chair), ZHANG,LEI (committee member), JURY,MICHAEL THOMAS (committee member), WU,SAMUEL SHANGWU (committee member).*

Subjects/Keywords: Image contrast; Image reconstruction; Images of transformations; Imaging; Magnetic resonance; Magnetic resonance imaging; Maps; Mathematical robustness; Maximum likelihood estimations; Payment protection insurance; algorithms – imaging – modeling – multi-contrast – optimization – reconstruction

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

APA (6^{th} Edition):

Liu, M. (2014). Modeling and Algorithms for Compressive Magnetic Resonance (MR) Image Reconstruction. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047481

Chicago Manual of Style (16^{th} Edition):

Liu, Meng. “Modeling and Algorithms for Compressive Magnetic Resonance (MR) Image Reconstruction.” 2014. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0047481.

MLA Handbook (7^{th} Edition):

Liu, Meng. “Modeling and Algorithms for Compressive Magnetic Resonance (MR) Image Reconstruction.” 2014. Web. 16 Sep 2019.

Vancouver:

Liu M. Modeling and Algorithms for Compressive Magnetic Resonance (MR) Image Reconstruction. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0047481.

Council of Science Editors:

Liu M. Modeling and Algorithms for Compressive Magnetic Resonance (MR) Image Reconstruction. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047481

University of Florida

7. Lee, Soyoung. Quantitative Image Quality Assessment and Qualitiy Assurance of Advanced Imaging Systems for Igrt.

Degree: PhD, Biomedical Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049273

► With the advent of advanced treatment techniques, imaging guidance plays crucial roles in the image-guided radiation therapy (IGRT). Two imaging modalities - electronic portal imaging…
(more)

Subjects/Keywords: Amplitude; Breathing; Calibration; Dosage; Image analysis; Image reconstruction; Imaging; Pixels; Signals; Tumors; 4dcbct – igrt – image-quality – tumore-motion-reconstruction

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APA (6^{th} Edition):

Lee, S. (2015). Quantitative Image Quality Assessment and Qualitiy Assurance of Advanced Imaging Systems for Igrt. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049273

Chicago Manual of Style (16^{th} Edition):

Lee, Soyoung. “Quantitative Image Quality Assessment and Qualitiy Assurance of Advanced Imaging Systems for Igrt.” 2015. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0049273.

MLA Handbook (7^{th} Edition):

Lee, Soyoung. “Quantitative Image Quality Assessment and Qualitiy Assurance of Advanced Imaging Systems for Igrt.” 2015. Web. 16 Sep 2019.

Vancouver:

Lee S. Quantitative Image Quality Assessment and Qualitiy Assurance of Advanced Imaging Systems for Igrt. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0049273.

Council of Science Editors:

Lee S. Quantitative Image Quality Assessment and Qualitiy Assurance of Advanced Imaging Systems for Igrt. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049273

University of Florida

8. Posirca, Iulia M. Variational Models for Simultaneous Image Segmentation and Noise Removal.

Degree: PhD, Mathematics, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044953

► We present two projects for simultaneous image segmentation and noise removal. The first project concerns the images corrupted with Gaussian noise and the second one…
(more)

Subjects/Keywords: Data smoothing; Image processing; Image reconstruction; Imaging; Mathematics; Modeling; Pixels; Statistical models; Supernova remnants; Ultrasonography; image – noise – segmentation – variational

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

APA (6^{th} Edition):

Posirca, I. M. (2012). Variational Models for Simultaneous Image Segmentation and Noise Removal. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044953

Chicago Manual of Style (16^{th} Edition):

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0044953.

MLA Handbook (7^{th} Edition):

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Web. 16 Sep 2019.

Vancouver:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0044953.

Council of Science Editors:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044953

University of Florida

9. Zhao, Songlin. From Fixed to Adaptive Budget Robust Kernel Adaptive Filtering.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044951

► Recently, owning to universal modeling capacity, convexity in performance surface and modest computational complexity, kernel adaptive filters have attracted more and more attention. Even though…
(more)

Subjects/Keywords: Adaptive filters; Approximation; Computational complexity; Cost functions; Input data; Neural networks; Pruning; Signal processing; Simulations; Time series; kenrel – songlin

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

APA (6^{th} Edition):

Zhao, S. (2012). From Fixed to Adaptive Budget Robust Kernel Adaptive Filtering. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044951

Chicago Manual of Style (16^{th} Edition):

Zhao, Songlin. “From Fixed to Adaptive Budget Robust Kernel Adaptive Filtering.” 2012. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0044951.

MLA Handbook (7^{th} Edition):

Zhao, Songlin. “From Fixed to Adaptive Budget Robust Kernel Adaptive Filtering.” 2012. Web. 16 Sep 2019.

Vancouver:

Zhao S. From Fixed to Adaptive Budget Robust Kernel Adaptive Filtering. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0044951.

Council of Science Editors:

Zhao S. From Fixed to Adaptive Budget Robust Kernel Adaptive Filtering. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044951

University of Florida

10. Lee, Jin-Seop. Image registration by using statistical information.

Degree: PhD, Mathematics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045405

► Image registration has been an important subject in many areas including remote sensing, computer vision, and medical imaging. It has been intensively studied and many…
(more)

Subjects/Keywords: Computerized axial tomography; Coordinate transformations; Correlation coefficients; Diagnostic imaging; Image processing; Images; Images of transformations; Lungs; Parametric models; Statistical models; aos – image – information – measure

Record Details Similar Records

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

APA (6^{th} Edition):

Lee, J. (2013). Image registration by using statistical information. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045405

Chicago Manual of Style (16^{th} Edition):

Lee, Jin-Seop. “Image registration by using statistical information.” 2013. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0045405.

MLA Handbook (7^{th} Edition):

Lee, Jin-Seop. “Image registration by using statistical information.” 2013. Web. 16 Sep 2019.

Vancouver:

Lee J. Image registration by using statistical information. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0045405.

Council of Science Editors:

Lee J. Image registration by using statistical information. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045405

University of Florida

11. Prosper, Olivia Felicia. Modeling Heterogeneities in Malaria.

Degree: PhD, Mathematics, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044010

► Malaria is an extremely complex disease that continues to thwart the efforts to control it in many countries around the globe. This dissertation presents three…
(more)

Subjects/Keywords: Disease models; Diseases; Human movement; Infections; Malaria; Mathematical models; Modeling; Parametric models; Parasites; Vaccinations; biology – competition – control – differential – epidemiology – equations – estimation – falciparum – invasion – malaria – mathematical – metapopulation – model – multi – number – optimal – ordinary – parameter – reproduction – species – vaccination – vivax

Record Details Similar Records

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

APA (6^{th} Edition):

Prosper, O. F. (2012). Modeling Heterogeneities in Malaria. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044010

Chicago Manual of Style (16^{th} Edition):

Prosper, Olivia Felicia. “Modeling Heterogeneities in Malaria.” 2012. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0044010.

MLA Handbook (7^{th} Edition):

Prosper, Olivia Felicia. “Modeling Heterogeneities in Malaria.” 2012. Web. 16 Sep 2019.

Vancouver:

Prosper OF. Modeling Heterogeneities in Malaria. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0044010.

Council of Science Editors:

Prosper OF. Modeling Heterogeneities in Malaria. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044010

University of Florida

12. Yashtini, Maryam. Fast TV-Regularized Large-Scale and Ill-Conditioned Linear Inversion with Application to Partially Parallel Imaging.

Degree: PhD, Mathematics, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0047095

► This research focuses on development and analysis of fast algorithms for image reconstruction problems that arise from an emerging magnetic resonance medical imaging technique known…
(more)

Subjects/Keywords: Algorithms; Ergodic theory; Error rates; Image reconstruction; Imaging; Infinity; Inverse problems; Magnetic resonance imaging; Objective functions; Payment protection insurance; algorithms – convergence – ill-condition – mri – optimization – regularization

Record Details Similar Records

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

APA (6^{th} Edition):

Yashtini, M. (2014). Fast TV-Regularized Large-Scale and Ill-Conditioned Linear Inversion with Application to Partially Parallel Imaging. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047095

Chicago Manual of Style (16^{th} Edition):

Yashtini, Maryam. “Fast TV-Regularized Large-Scale and Ill-Conditioned Linear Inversion with Application to Partially Parallel Imaging.” 2014. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0047095.

MLA Handbook (7^{th} Edition):

Yashtini, Maryam. “Fast TV-Regularized Large-Scale and Ill-Conditioned Linear Inversion with Application to Partially Parallel Imaging.” 2014. Web. 16 Sep 2019.

Vancouver:

Yashtini M. Fast TV-Regularized Large-Scale and Ill-Conditioned Linear Inversion with Application to Partially Parallel Imaging. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0047095.

Council of Science Editors:

Yashtini M. Fast TV-Regularized Large-Scale and Ill-Conditioned Linear Inversion with Application to Partially Parallel Imaging. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047095

University of Florida

13. Shi, Jiangli. Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation.

Degree: PhD, Mathematics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045845

► A series of mathematical models for image registrations are investigated in this work to provide a variety of techniques especially for medical image alignment. Analysis…
(more)

Subjects/Keywords: Coordinate transformations; Cross correlation; Entropy; Image processing; Images of transformations; Linear transformations; Parametric models; Random variables; Sine function; Statistical models; dependence – image – measure – registration – segmentation – statistical

Record Details Similar Records

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

APA (6^{th} Edition):

Shi, J. (2013). Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045845

Chicago Manual of Style (16^{th} Edition):

Shi, Jiangli. “Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation.” 2013. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0045845.

MLA Handbook (7^{th} Edition):

Shi, Jiangli. “Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation.” 2013. Web. 16 Sep 2019.

Vancouver:

Shi J. Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0045845.

Council of Science Editors:

Shi J. Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045845

University of Florida

14. Ouyang, Yuyuan. Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis.

Degree: PhD, Mathematics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045919

► This PhD Dissertation concerns optimal first order methods in convex optimization, and their applications in imaging science. The research is motivated by the rapid advances…
(more)

Subjects/Keywords: Algorithms; Approximation; Data smoothing; Image reconstruction; Imaging; Payment protection insurance; Perceptron convergence procedure; Saddle points; Signals; Spherical harmonics; imaging – nonsmooth – optimization – smooth – stochastic

Record Details Similar Records

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APA (6^{th} Edition):

Ouyang, Y. (2013). Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045919

Chicago Manual of Style (16^{th} Edition):

Ouyang, Yuyuan. “Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis.” 2013. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0045919.

MLA Handbook (7^{th} Edition):

Ouyang, Yuyuan. “Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis.” 2013. Web. 16 Sep 2019.

Vancouver:

Ouyang Y. Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0045919.

Council of Science Editors:

Ouyang Y. Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045919

University of Florida

15. Guo, Ying. Energy Estimates and Harnack Type Inequalities for Prescribing Curvature Type Equations with Boundary Conditions.

Degree: PhD, Mathematics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0046218

► For a class of semi-linear elliptic equations with critical Sobolev exponents and boundary conditions, we prove pointwise estimates for blowup solutions and energy estimates. A…
(more)

Subjects/Keywords: Curvature; Distance functions; Greens function; Local maximum; Logical proofs; Mathematical inequalities; Mathematics; Maximum principle; Point estimators; Scalars; blowup – energy – estimate – harnack – inequality – semilinear – yamabe

Record Details Similar Records

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APA (6^{th} Edition):

Guo, Y. (2013). Energy Estimates and Harnack Type Inequalities for Prescribing Curvature Type Equations with Boundary Conditions. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046218

Chicago Manual of Style (16^{th} Edition):

Guo, Ying. “Energy Estimates and Harnack Type Inequalities for Prescribing Curvature Type Equations with Boundary Conditions.” 2013. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0046218.

MLA Handbook (7^{th} Edition):

Guo, Ying. “Energy Estimates and Harnack Type Inequalities for Prescribing Curvature Type Equations with Boundary Conditions.” 2013. Web. 16 Sep 2019.

Vancouver:

Guo Y. Energy Estimates and Harnack Type Inequalities for Prescribing Curvature Type Equations with Boundary Conditions. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0046218.

Council of Science Editors:

Guo Y. Energy Estimates and Harnack Type Inequalities for Prescribing Curvature Type Equations with Boundary Conditions. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0046218

University of Florida

16. Zhang, Haili. Mathematical Modeling for Image Segmentation and Restoration.

Degree: PhD, Mathematics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045847

► This thesis is devoted to the formulation, implementation, and improvement of mathematical models and efficient algorithms for image segmentation and image restoration using tools based…
(more)

Subjects/Keywords: Algorithms; Eigenfunctions; Gray matter; Histograms; Image processing; Images of transformations; Inhomogeneity; Noise intensity; Parametric models; Pixels; algorithm – deblurring – denoising – nonparametric – restoration – segmentation

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, H. (2013). Mathematical Modeling for Image Segmentation and Restoration. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045847

Chicago Manual of Style (16^{th} Edition):

Zhang, Haili. “Mathematical Modeling for Image Segmentation and Restoration.” 2013. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0045847.

MLA Handbook (7^{th} Edition):

Zhang, Haili. “Mathematical Modeling for Image Segmentation and Restoration.” 2013. Web. 16 Sep 2019.

Vancouver:

Zhang H. Mathematical Modeling for Image Segmentation and Restoration. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0045847.

Council of Science Editors:

Zhang H. Mathematical Modeling for Image Segmentation and Restoration. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045847

University of Florida

17. Guo, Meixi. Empirical Bayes and Likelihood Based Methods for Measurement Error Models.

Degree: PhD, Statistics, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044479

► Measurement error is a problem that is commonly present in data collected from human respondents. Its early appearance dates back to nearly a century ago…
(more)

Subjects/Keywords: Consistent estimators; Estimators; Estimators for the mean; Linear regression; Maximum likelihood estimations; Regression analysis; Simulations; Statism; Statistical estimation; Statistical models; empirical-bayes – james-stein-estimation – measurement-error – profile-likelihood – small-area-estimation

Record Details Similar Records

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

APA (6^{th} Edition):

Guo, M. (2012). Empirical Bayes and Likelihood Based Methods for Measurement Error Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044479

Chicago Manual of Style (16^{th} Edition):

Guo, Meixi. “Empirical Bayes and Likelihood Based Methods for Measurement Error Models.” 2012. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0044479.

MLA Handbook (7^{th} Edition):

Guo, Meixi. “Empirical Bayes and Likelihood Based Methods for Measurement Error Models.” 2012. Web. 16 Sep 2019.

Vancouver:

Guo M. Empirical Bayes and Likelihood Based Methods for Measurement Error Models. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0044479.

Council of Science Editors:

Guo M. Empirical Bayes and Likelihood Based Methods for Measurement Error Models. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044479

University of Florida

18. Li, Jie. Multiset Graph Partitioning.

Degree: PhD, Mathematics, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0046510

► A continuous quadratic programming formulation is given for min-cut graphpartitioning problems. In these problems, we divide the vertices of a graph into acollection of disjoint…
(more)

Subjects/Keywords: Algorithms; Integers; Mathematics; Matrices; Multisets; Necessary conditions for optimality; Polyhedrons; Quadratic programming; Separators; Vertices; bipartite – min-cut – optimization – partition – polyhedron – programming – projection

Record Details Similar Records

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

APA (6^{th} Edition):

Li, J. (2014). Multiset Graph Partitioning. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046510

Chicago Manual of Style (16^{th} Edition):

Li, Jie. “Multiset Graph Partitioning.” 2014. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0046510.

MLA Handbook (7^{th} Edition):

Li, Jie. “Multiset Graph Partitioning.” 2014. Web. 16 Sep 2019.

Vancouver:

Li J. Multiset Graph Partitioning. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0046510.

Council of Science Editors:

Li J. Multiset Graph Partitioning. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0046510

19. Thomas, Neil B, Jr. Effect of Metallicity on Giant Planet and Brown Dwarf Formation.

Degree: PhD, Astronomy, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049246

► The primary goal of this work is to leverage the SDSS III Multi-object Apache Point Observatory Radial Velocity Exoplanet Large-area Survey (MARVELS) to clarify several…
(more)

Subjects/Keywords: Astronomical magnitude; Calibration; Fringe; Photons; Pipelines; Pixels; Planets; Stellar spectra; Velocity; Wavelengths; exoplanet – marvels – metallicity

…227
14
Abstract of Dissertation Presented to the Graduate School
of the *University* *of*… …*Florida* in Partial Fulfillment of the
Requirements for the Degree of Doctor of Philosophy
EFFECT…

Record Details Similar Records

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

APA (6^{th} Edition):

Thomas, Neil B, J. (2015). Effect of Metallicity on Giant Planet and Brown Dwarf Formation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049246

Chicago Manual of Style (16^{th} Edition):

Thomas, Neil B, Jr. “Effect of Metallicity on Giant Planet and Brown Dwarf Formation.” 2015. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0049246.

MLA Handbook (7^{th} Edition):

Thomas, Neil B, Jr. “Effect of Metallicity on Giant Planet and Brown Dwarf Formation.” 2015. Web. 16 Sep 2019.

Vancouver:

Thomas, Neil B J. Effect of Metallicity on Giant Planet and Brown Dwarf Formation. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0049246.

Council of Science Editors:

Thomas, Neil B J. Effect of Metallicity on Giant Planet and Brown Dwarf Formation. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049246

University of Florida

20. YE,XIAOJING. Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis.

Degree: PhD, Mathematics, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0042919

A series of projects are presented to provide advanced mathematical models and numerical
*Advisors/Committee Members: Chen, Yunmei (committee chair), Rao, Murali (committee member), McCullough, Scott (committee member), Gopalakrishnan, Jay (committee member), Li, Jonathan (committee member).*

Subjects/Keywords: Datasets; Fourier transformations; Image reconstruction; Images of transformations; Imaging; Magnetic resonance imaging; Mathematical robustness; Objective functions; Parametric models; Payment protection insurance; CONSISTENT – CONVERGENCE – MRI – OPTIMIZATION – RECONSTRUCTION – REGISRATION – STATISTICS

Record Details Similar Records

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

APA (6^{th} Edition):

YE,XIAOJING. (2011). Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042919

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

YE,XIAOJING. “Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis.” 2011. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0042919.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

MLA Handbook (7^{th} Edition):

YE,XIAOJING. “Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis.” 2011. Web. 16 Sep 2019.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Vancouver:

YE,XIAOJING. Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0042919.

Author name may be incomplete

Council of Science Editors:

YE,XIAOJING. Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042919

Author name may be incomplete

University of Florida

21. Chen, Pengwen. Bregman Metrics and Their Applications.

Degree: PhD, Mathematics, 2007, University of Florida

URL: http://ufdc.ufl.edu/UFE0021037

► In this work, I provide three different but related discussions on a famous distance: Kullback-Leibler(KL) divergence. First, I construct two classes of distances similar to…
(more)

Subjects/Keywords: Algorithms; Bending; Cost efficiency; Cost functions; Distance functions; Mathematical vectors; Minimization of cost; Optimal solutions; Triangle inequalities; Uniqueness; bregman, capacity, cardiac, classification, clustering, curve, dynamic, hellinger, kullback, metric, primal, triangle

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

APA (6^{th} Edition):

Chen, P. (2007). Bregman Metrics and Their Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021037

Chicago Manual of Style (16^{th} Edition):

Chen, Pengwen. “Bregman Metrics and Their Applications.” 2007. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0021037.

MLA Handbook (7^{th} Edition):

Chen, Pengwen. “Bregman Metrics and Their Applications.” 2007. Web. 16 Sep 2019.

Vancouver:

Chen P. Bregman Metrics and Their Applications. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0021037.

Council of Science Editors:

Chen P. Bregman Metrics and Their Applications. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0021037

University of Florida

22. Hou, Hongyan. Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control.

Degree: PhD, Mathematics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045697

Subjects/Keywords: Approximation; Control theory; Degrees of polynomials; Gaussian quadratures; Interpolation; Matrices; Optimal control; Polynomials; Quadratic programming; Textual collocation; convergence; gaussian-collocation-mehtod; lebesgue-constant

Record Details Similar Records

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

APA (6^{th} Edition):

Hou, H. (2013). Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045697

Chicago Manual of Style (16^{th} Edition):

Hou, Hongyan. “Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control.” 2013. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0045697.

MLA Handbook (7^{th} Edition):

Hou, Hongyan. “Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control.” 2013. Web. 16 Sep 2019.

Vancouver:

Hou H. Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0045697.

Council of Science Editors:

Hou H. Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045697

University of Florida

23. Zhang, Wei. Accelerated Bundle Level Type Methods for Large Scale Convex Optimization.

Degree: PhD, Mathematics, 2017, University of Florida

URL: http://ufdc.ufl.edu/UFE0051299

Subjects/Keywords: accelerated-algorithm; bundle-level-method; convex-optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, W. (2017). Accelerated Bundle Level Type Methods for Large Scale Convex Optimization. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0051299

Chicago Manual of Style (16^{th} Edition):

Zhang, Wei. “Accelerated Bundle Level Type Methods for Large Scale Convex Optimization.” 2017. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0051299.

MLA Handbook (7^{th} Edition):

Zhang, Wei. “Accelerated Bundle Level Type Methods for Large Scale Convex Optimization.” 2017. Web. 16 Sep 2019.

Vancouver:

Zhang W. Accelerated Bundle Level Type Methods for Large Scale Convex Optimization. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0051299.

Council of Science Editors:

Zhang W. Accelerated Bundle Level Type Methods for Large Scale Convex Optimization. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0051299

University of Florida

24. Zeng, Qingguo. Diffusion Weighted Magnetic Resonance Image Analysis and Medical Image Registration.

Degree: PhD, Mathematics, 2008, University of Florida

URL: http://ufdc.ufl.edu/UFE0021948

Subjects/Keywords: Anisotropy; Data smoothing; Experimental results; Image analysis; Image processing; Imaging; Magnetic fields; Statistical discrepancies; Tensors; White matter; adc, consistent, deformable, hardwi, image, mri, registration

Record Details Similar Records

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

APA (6^{th} Edition):

Zeng, Q. (2008). Diffusion Weighted Magnetic Resonance Image Analysis and Medical Image Registration. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021948

Chicago Manual of Style (16^{th} Edition):

Zeng, Qingguo. “Diffusion Weighted Magnetic Resonance Image Analysis and Medical Image Registration.” 2008. Doctoral Dissertation, University of Florida. Accessed September 16, 2019. http://ufdc.ufl.edu/UFE0021948.

MLA Handbook (7^{th} Edition):

Zeng, Qingguo. “Diffusion Weighted Magnetic Resonance Image Analysis and Medical Image Registration.” 2008. Web. 16 Sep 2019.

Vancouver:

Zeng Q. Diffusion Weighted Magnetic Resonance Image Analysis and Medical Image Registration. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2019 Sep 16]. Available from: http://ufdc.ufl.edu/UFE0021948.

Council of Science Editors:

Zeng Q. Diffusion Weighted Magnetic Resonance Image Analysis and Medical Image Registration. [Doctoral Dissertation]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0021948