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University of Florida

1. Sarov, Martin G. Constructing the Spline Atlas of a Free-Form Surface.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2017, University of Florida

URL: http://ufdc.ufl.edu/UFE0050899

► High-end shape design of product-defining surfaces and engineering analysis of the resulting objects employ vastly different representations. The resulting gap between design and analysis impedes…
(more)

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APA (6^{th} Edition):

Sarov, M. G. (2017). Constructing the Spline Atlas of a Free-Form Surface. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050899

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

Sarov, Martin G. “Constructing the Spline Atlas of a Free-Form Surface.” 2017. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0050899.

MLA Handbook (7^{th} Edition):

Sarov, Martin G. “Constructing the Spline Atlas of a Free-Form Surface.” 2017. Web. 16 Dec 2019.

Vancouver:

Sarov MG. Constructing the Spline Atlas of a Free-Form Surface. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0050899.

Council of Science Editors:

Sarov MG. Constructing the Spline Atlas of a Free-Form Surface. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0050899

University of Florida

2. Smith, Anthony O. Category Space Dimensionality Reduction for Supervised Learning.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045768

► In this research, we investigate the reasons that make the multiclass classification problem difficult and suggest that category ambiguity is at the heart of the…
(more)

Subjects/Keywords: Datasets; Dimensionality reduction; Discriminants; Distance functions; Inner products; Learning; Machine learning; Mathematical vectors; Objective functions; Vector spaces; classification – multiclass – orthogonal – reduction

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APA (6^{th} Edition):

Smith, A. O. (2013). Category Space Dimensionality Reduction for Supervised Learning. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045768

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

Smith, Anthony O. “Category Space Dimensionality Reduction for Supervised Learning.” 2013. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0045768.

MLA Handbook (7^{th} Edition):

Smith, Anthony O. “Category Space Dimensionality Reduction for Supervised Learning.” 2013. Web. 16 Dec 2019.

Vancouver:

Smith AO. Category Space Dimensionality Reduction for Supervised Learning. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0045768.

Council of Science Editors:

Smith AO. Category Space Dimensionality Reduction for Supervised Learning. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045768

University of Florida

3. Kaya, Gokhan. Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2016, University of Florida

URL: http://ufdc.ufl.edu/UFE0050379

► Spiking is the common form of action adopted by neurons which cumulatively creates the notion of activity in the nervous system. Any attempt on defining…
(more)

Subjects/Keywords: Arithmetic mean; Electric pulses; Error rates; Membrane potential; Modeling; Neurons; Receptors; Sensory system; Signals; Time signals; computationalneuroscience – neuroncoding – signalcoding – spikes

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APA (6^{th} Edition):

Kaya, G. (2016). Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050379

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

Kaya, Gokhan. “Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models.” 2016. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0050379.

MLA Handbook (7^{th} Edition):

Kaya, Gokhan. “Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models.” 2016. Web. 16 Dec 2019.

Vancouver:

Kaya G. Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0050379.

Council of Science Editors:

Kaya G. Signal Coding and Reconstruction through a Framework Which Utilizes Naturally-Inspired Deterministic Spiking Models. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050379

University of Florida

4. Mirzargar, Seyyedeh Mahsa. A Reconstruction Framework for Common Sampling Lattices.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044621

► Sampling and reconstruction appear ubiquitously in many scientific and engineering applications. Conventionally, the Cartesian lattice has been used, while sampling on certain non-Cartesian lattices is…
(more)

Subjects/Keywords: Approximation; Boxes; Cartesianism; Conceptual lattices; Datasets; Face centered cubic lattices; Interpolation; Mathematical lattices; Polynomials; Signals; approximation – quasi – reconstruction – splines – voronoi

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APA (6^{th} Edition):

Mirzargar, S. M. (2012). A Reconstruction Framework for Common Sampling Lattices. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044621

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

Mirzargar, Seyyedeh Mahsa. “A Reconstruction Framework for Common Sampling Lattices.” 2012. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0044621.

MLA Handbook (7^{th} Edition):

Mirzargar, Seyyedeh Mahsa. “A Reconstruction Framework for Common Sampling Lattices.” 2012. Web. 16 Dec 2019.

Vancouver:

Mirzargar SM. A Reconstruction Framework for Common Sampling Lattices. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0044621.

Council of Science Editors:

Mirzargar SM. A Reconstruction Framework for Common Sampling Lattices. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044621

University of Florida

5. Gurumoorthy,Karthik S. A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043099

Many computational techniques based on classical mechanics exist but surprisingly there isn't a concomitant
*Advisors/Committee Members: Banerjee, Arunava (committee chair), Ho, Jeffrey (committee member), Vemuri, Baba C (committee member), Gader, Paul D (committee member), Shabanov, Sergei (committee member).*

Subjects/Keywords: Approximation; Distance functions; Eikonal equation; Error rates; Fourier transformations; Mathematics; Quantum mechanics; Steepest descent method; Wave equations; Wave functions

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APA (6^{th} Edition):

S, G. (2011). A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043099

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

S, Gurumoorthy,Karthik. “A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation.” 2011. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0043099.

MLA Handbook (7^{th} Edition):

S, Gurumoorthy,Karthik. “A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation.” 2011. Web. 16 Dec 2019.

Vancouver:

S G. A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0043099.

Council of Science Editors:

S G. A Schrodinger Wave Mechanics Formalism for the Eikonal Problem and Its Associated Gradient Density Computation. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043099

University of Florida

6. Salehian, Hesamoddin. Incremental Algorithms for Statistical Analysis of Manifold Valued Data.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0047484

► Manifold-valued features are ubiquitous in many applications in computer vision, machine learning and medical image analysis. Statistical analysis of a population of such data is…
(more)

Subjects/Keywords: Computer vision; Distance functions; Estimators for the mean; Geometry; Gnomonic projection; Matrices; Principal components analysis; Riemann manifold; Statistical analysis; Tensors; incremental – manifold – statistics

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

APA (6^{th} Edition):

Salehian, H. (2014). Incremental Algorithms for Statistical Analysis of Manifold Valued Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047484

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

Salehian, Hesamoddin. “Incremental Algorithms for Statistical Analysis of Manifold Valued Data.” 2014. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0047484.

MLA Handbook (7^{th} Edition):

Salehian, Hesamoddin. “Incremental Algorithms for Statistical Analysis of Manifold Valued Data.” 2014. Web. 16 Dec 2019.

Vancouver:

Salehian H. Incremental Algorithms for Statistical Analysis of Manifold Valued Data. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0047484.

Council of Science Editors:

Salehian H. Incremental Algorithms for Statistical Analysis of Manifold Valued Data. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047484

University of Florida

7. Cheng, Guang. Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044073

► The problem of tracking on the manifold of n × n symmetric positive definite (SPD) matrices is an important problem and has many applications in several…
(more)

Subjects/Keywords: Covariance; Datasets; Distance functions; Euclidean space; Gaussian distributions; Kalman filters; Matrices; Rats; Riemann manifold; Tensors; kalman – manifold – matrix – spd – tracking – tractography

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APA (6^{th} Edition):

Cheng, G. (2012). Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044073

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

Cheng, Guang. “Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices.” 2012. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0044073.

MLA Handbook (7^{th} Edition):

Cheng, Guang. “Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices.” 2012. Web. 16 Dec 2019.

Vancouver:

Cheng G. Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0044073.

Council of Science Editors:

Cheng G. Algorithms for Tracking on the Manifold of Symmetric Positive Definite Matrices. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044073

University of Florida

8. Kumar, Ritwik. Relighting, Pose Change and Recognition of Faces.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2009, University of Florida

URL: http://ufdc.ufl.edu/UFE0041052

► Relighting, pose change and recognition of faces from images are intimately connected fundamental problems in the field of Computer Vision and Graphics. These problems are…
(more)

Subjects/Keywords: Approximation; Computer recognition; Computer vision; Databases; Datasets; Image classification; Lighting; Pies; Pixels; Tensors; abrdf, face, pose, recognition, reflectance, relighting

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APA (6^{th} Edition):

Kumar, R. (2009). Relighting, Pose Change and Recognition of Faces. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041052

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

Kumar, Ritwik. “Relighting, Pose Change and Recognition of Faces.” 2009. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0041052.

MLA Handbook (7^{th} Edition):

Kumar, Ritwik. “Relighting, Pose Change and Recognition of Faces.” 2009. Web. 16 Dec 2019.

Vancouver:

Kumar R. Relighting, Pose Change and Recognition of Faces. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0041052.

Council of Science Editors:

Kumar R. Relighting, Pose Change and Recognition of Faces. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0041052

University of Florida

9. Seo, Dohyung. A geometric approach to image matching and synthesis of diffeomorphic paths.

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

URL: http://ufdc.ufl.edu/UFE0045283

► Image processing and analysis traditionally deals with methods that do not take the geometry of the image surface into account. Using the geometry of the…
(more)

Subjects/Keywords: Cost functions; Datasets; Distance functions; Ground truth; Image classification; Keyframes; Retraining; Tensors; Three dimensional imaging; Vector fields; diffeomorphisms – image – registration

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

APA (6^{th} Edition):

Seo, D. (2013). A geometric approach to image matching and synthesis of diffeomorphic paths. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045283

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

Seo, Dohyung. “A geometric approach to image matching and synthesis of diffeomorphic paths.” 2013. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0045283.

MLA Handbook (7^{th} Edition):

Seo, Dohyung. “A geometric approach to image matching and synthesis of diffeomorphic paths.” 2013. Web. 16 Dec 2019.

Vancouver:

Seo D. A geometric approach to image matching and synthesis of diffeomorphic paths. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0045283.

Council of Science Editors:

Seo D. A geometric approach to image matching and synthesis of diffeomorphic paths. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045283

University of Florida

10. Subakan, Ozlem. Continuous Mixture Models for Feature Preserving Smoothing and Segmentation.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2009, University of Florida

URL: http://ufdc.ufl.edu/UFE0024915

► Image smoothing and segmentation are fundamental tasks in computer vision. Although there are numerous algorithms that have been developed and applied to these tasks in…
(more)

Subjects/Keywords: Computer vision; Curvature; Data smoothing; Gabor filters; Image enhancement; Image filters; Image processing; Images; Matrices; Quaternions; bingham, color, continuous, directional, distributions, filters, fisher, gabor, gaussian, image, mixture, models, quaternions, segmentation, smoothing, watson, wishart

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APA (6^{th} Edition):

Subakan, O. (2009). Continuous Mixture Models for Feature Preserving Smoothing and Segmentation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024915

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

Subakan, Ozlem. “Continuous Mixture Models for Feature Preserving Smoothing and Segmentation.” 2009. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0024915.

MLA Handbook (7^{th} Edition):

Subakan, Ozlem. “Continuous Mixture Models for Feature Preserving Smoothing and Segmentation.” 2009. Web. 16 Dec 2019.

Vancouver:

Subakan O. Continuous Mixture Models for Feature Preserving Smoothing and Segmentation. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0024915.

Council of Science Editors:

Subakan O. Continuous Mixture Models for Feature Preserving Smoothing and Segmentation. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024915

University of Florida

11. 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

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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 December 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 Dec 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 Dec 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

12. Rajwade, Ajit. Probabilistic Approaches to Image Registration and Denoising.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2010, University of Florida

URL: http://ufdc.ufl.edu/UFE0042349

► PROBABILISTIC APPROACHES TO IMAGE REGISTRATION AND DENOISING We present probabilistically driven approaches to two major applications in computer vision and image processing: image alignment (registration)…
(more)

Subjects/Keywords: Datasets; Density estimation; Estimation methods; Estimators; Image filters; Image processing; Level curves; Matrices; Pixels; Signals; bases, denoising, density, directional, estimation, filtering, hosvd, image, interpolant, interpolation, isocontours, isosurfaces, learning, orthonormal, probabilistic, probability, processing, random, restoration, singular, statistical, statistics, svd, tensor, transform, transformation, variable

Record Details Similar Records

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

APA (6^{th} Edition):

Rajwade, A. (2010). Probabilistic Approaches to Image Registration and Denoising. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042349

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

Rajwade, Ajit. “Probabilistic Approaches to Image Registration and Denoising.” 2010. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0042349.

MLA Handbook (7^{th} Edition):

Rajwade, Ajit. “Probabilistic Approaches to Image Registration and Denoising.” 2010. Web. 16 Dec 2019.

Vancouver:

Rajwade A. Probabilistic Approaches to Image Registration and Denoising. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0042349.

Council of Science Editors:

Rajwade A. Probabilistic Approaches to Image Registration and Denoising. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042349

University of Florida

13. Hwang, Min. Non-invasive Investigation of Cardiac Tissue Compartments and Components using MR Microscopy.

Degree: PhD, Biomedical Engineering, 2010, University of Florida

URL: http://ufdc.ufl.edu/UFE0041200

► NON-INVASIVE INVESTIGATION OF CARDIAC TISSUE COMPARTMENTS AND COMPONENTS USING MR MICROSCOPY The heart responds to the ever-changing demands that the whole body places on the…
(more)

Subjects/Keywords: Cells; Diffusion coefficient; Heart; Imaging; Magnetic resonance imaging; Magnetism; Myocardium; Rabbits; Signals; Tensors; cardiac, imaging, magnetic, microscopy, mri

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

APA (6^{th} Edition):

Hwang, M. (2010). Non-invasive Investigation of Cardiac Tissue Compartments and Components using MR Microscopy. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041200

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

Hwang, Min. “Non-invasive Investigation of Cardiac Tissue Compartments and Components using MR Microscopy.” 2010. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0041200.

MLA Handbook (7^{th} Edition):

Hwang, Min. “Non-invasive Investigation of Cardiac Tissue Compartments and Components using MR Microscopy.” 2010. Web. 16 Dec 2019.

Vancouver:

Hwang M. Non-invasive Investigation of Cardiac Tissue Compartments and Components using MR Microscopy. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0041200.

Council of Science Editors:

Hwang M. Non-invasive Investigation of Cardiac Tissue Compartments and Components using MR Microscopy. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041200

University of Florida

14. Barmpoutis, Angelos. Tensor Based Representation and Analysis of Diffusion Weighted Magnetic Resonance Images.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2009, University of Florida

URL: http://ufdc.ufl.edu/UFE0024350

► Cartesian tensor bases have been widely used to model spherical functions. In medical imaging, tensors of various orders can approximate the diffusivity function at each…
(more)

Subjects/Keywords: Approximation; Datasets; Diffusion coefficient; Distance functions; Estimation methods; Fiber orientation; Matrices; Rats; Signals; Tensors; diffusion, dti, estimation, hardi, mri, registration, segmentation, tensor

Record Details Similar Records

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

APA (6^{th} Edition):

Barmpoutis, A. (2009). Tensor Based Representation and Analysis of Diffusion Weighted Magnetic Resonance Images. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024350

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

Barmpoutis, Angelos. “Tensor Based Representation and Analysis of Diffusion Weighted Magnetic Resonance Images.” 2009. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0024350.

MLA Handbook (7^{th} Edition):

Barmpoutis, Angelos. “Tensor Based Representation and Analysis of Diffusion Weighted Magnetic Resonance Images.” 2009. Web. 16 Dec 2019.

Vancouver:

Barmpoutis A. Tensor Based Representation and Analysis of Diffusion Weighted Magnetic Resonance Images. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0024350.

Council of Science Editors:

Barmpoutis A. Tensor Based Representation and Analysis of Diffusion Weighted Magnetic Resonance Images. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024350

University of Florida

15. Deng, Yan. Novel Algorithms for Uni- and Multi-Modal Image Segmentation.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2016, University of Florida

URL: http://ufdc.ufl.edu/UFE0049872

► Automated Brain MRI segmentation methods have gained immense interest in the past couple of decades. Due to the inhomogeneity caused by bias field from the…
(more)

Subjects/Keywords: Algorithms; Amygdala; Atlases; Datasets; Geometric shapes; Ground truth; Hippocampus; Image contrast; Learning; Objective functions; atlas – brain – clouds – contrast – fusion – labeled – matching – mri – partially – point – segmentation – synthesis

Record Details Similar Records

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

APA (6^{th} Edition):

Deng, Y. (2016). Novel Algorithms for Uni- and Multi-Modal Image Segmentation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049872

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

Deng, Yan. “Novel Algorithms for Uni- and Multi-Modal Image Segmentation.” 2016. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0049872.

MLA Handbook (7^{th} Edition):

Deng, Yan. “Novel Algorithms for Uni- and Multi-Modal Image Segmentation.” 2016. Web. 16 Dec 2019.

Vancouver:

Deng Y. Novel Algorithms for Uni- and Multi-Modal Image Segmentation. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0049872.

Council of Science Editors:

Deng Y. Novel Algorithms for Uni- and Multi-Modal Image Segmentation. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0049872

University of Florida

16. Ye, Wenxing. Efficient Sampling Geometries and Reconstruction Algorithms for Estimation of Diffusion Propagators.

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

URL: http://ufdc.ufl.edu/UFE0044054

► Diffusion weighted magnetic resonance imaging (DW-MRI) is a non-invasive techniques that can reveal the anatomical structure of living organism. Through measuring directional diffusion of water…
(more)

Subjects/Keywords: Body centered cubic lattices; Boxes; Cartesianism; Conceptual lattices; Datasets; Fourier transformations; Geometry; Imaging; Mathematical lattices; Signals; diffusion – geometry – hardi – mri – reconstruction – sampling

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APA (6^{th} Edition):

Ye, W. (2012). Efficient Sampling Geometries and Reconstruction Algorithms for Estimation of Diffusion Propagators. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044054

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

Ye, Wenxing. “Efficient Sampling Geometries and Reconstruction Algorithms for Estimation of Diffusion Propagators.” 2012. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0044054.

MLA Handbook (7^{th} Edition):

Ye, Wenxing. “Efficient Sampling Geometries and Reconstruction Algorithms for Estimation of Diffusion Propagators.” 2012. Web. 16 Dec 2019.

Vancouver:

Ye W. Efficient Sampling Geometries and Reconstruction Algorithms for Estimation of Diffusion Propagators. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0044054.

Council of Science Editors:

Ye W. Efficient Sampling Geometries and Reconstruction Algorithms for Estimation of Diffusion Propagators. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044054

University of Florida

17. Jian, Bing. Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images.

URL: http://ufdc.ufl.edu/UFE0021691

► Diffusion-weighted magnetic resonance imaging (DW-MRI) is a non-invasive imaging technique that allows neural tissue architecture to be probed at a microscopic scale in vivo. By…
(more)

Subjects/Keywords: Diffusion coefficient; Diffusion magnetic resonance imaging; Fiber orientation; Imaging; Laplace transformation; Least squares; Magnetic resonance imaging; Matrices; Signals; Tensors; deconvolution, diffusion, dtmri, dwmri, hardi, mow, nnls

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

APA (6^{th} Edition):

Jian, B. (2009). Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021691

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

Jian, Bing. “Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images.” 2009. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0021691.

MLA Handbook (7^{th} Edition):

Jian, Bing. “Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images.” 2009. Web. 16 Dec 2019.

Vancouver:

Jian B. Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0021691.

Council of Science Editors:

Jian B. Mathematical Modeling for Multi-Fiber Reconstruction from Diffusion-Weighted Magnetic Resonance Images. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0021691

University of Florida

18. Liu, Meizhu. Total Bregman Divergence, a Robust Divergence Measure, and Its Applications.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043601

► Divergence measures provide a means to measure the pairwise dissimilarity between "objects", e.g., vectors and probability density functions (pdfs). Kullback-Leibler (KL) divergence and the square…
(more)

Subjects/Keywords: Algorithms; Computer conferencing; Computer pattern recognition; Computer vision; Databases; Datasets; Information retrieval; Machine learning; Outliers; Tensors; boosting – bregman – divergence – dti – metric – robust

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

APA (6^{th} Edition):

Liu, M. (2011). Total Bregman Divergence, a Robust Divergence Measure, and Its Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043601

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

Liu, Meizhu. “Total Bregman Divergence, a Robust Divergence Measure, and Its Applications.” 2011. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0043601.

MLA Handbook (7^{th} Edition):

Liu, Meizhu. “Total Bregman Divergence, a Robust Divergence Measure, and Its Applications.” 2011. Web. 16 Dec 2019.

Vancouver:

Liu M. Total Bregman Divergence, a Robust Divergence Measure, and Its Applications. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0043601.

Council of Science Editors:

Liu M. Total Bregman Divergence, a Robust Divergence Measure, and Its Applications. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043601

University of Florida

19. Kodipaka, Santhosh. A Novel Conic Section Classifier with Tractable Geometric Learning Algorithms.

URL: http://ufdc.ufl.edu/UFE0024624

► Several pattern recognition problems in computer vision and medical diagnosis can be posed in the general framework of supervised learning. However, the high-dimensionality of the…
(more)

Subjects/Keywords: Conic sections; Datasets; Discriminants; Eggshells; Epilepsy; Hyperplanes; Hyperspheres; Learning; Machine learning; Polynomials; boundaries, class, classifier, concept, conic, constraints, design, discriminant, eccentricity, evaluation, geometry, large, learning, machine, margin, nonlinear, sections, stiffness

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

APA (6^{th} Edition):

Kodipaka, S. (2009). A Novel Conic Section Classifier with Tractable Geometric Learning Algorithms. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024624

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

Kodipaka, Santhosh. “A Novel Conic Section Classifier with Tractable Geometric Learning Algorithms.” 2009. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0024624.

MLA Handbook (7^{th} Edition):

Kodipaka, Santhosh. “A Novel Conic Section Classifier with Tractable Geometric Learning Algorithms.” 2009. Web. 16 Dec 2019.

Vancouver:

Kodipaka S. A Novel Conic Section Classifier with Tractable Geometric Learning Algorithms. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0024624.

Council of Science Editors:

Kodipaka S. A Novel Conic Section Classifier with Tractable Geometric Learning Algorithms. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024624

University of Florida

20. Xie, Yuchen. Geometric Approaches to Group-Wise Image Analysis.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044361

► Group-wise analysis of a set of images is a fundamental problem in computer vision and medical image analysis. A structured representation of the image collection…
(more)

Subjects/Keywords: Algorithms; Computer vision; Datasets; Distance functions; Factorization; Image analysis; Image rotation; Matrices; Riemann manifold; Tensors; image

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

APA (6^{th} Edition):

Xie, Y. (2012). Geometric Approaches to Group-Wise Image Analysis. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044361

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

Xie, Yuchen. “Geometric Approaches to Group-Wise Image Analysis.” 2012. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0044361.

MLA Handbook (7^{th} Edition):

Xie, Yuchen. “Geometric Approaches to Group-Wise Image Analysis.” 2012. Web. 16 Dec 2019.

Vancouver:

Xie Y. Geometric Approaches to Group-Wise Image Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0044361.

Council of Science Editors:

Xie Y. Geometric Approaches to Group-Wise Image Analysis. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044361

University of Florida

21. Chi, Yu-Tseh. Block, Group, and Affine Regularized Sparse Coding and Dictionary Learning.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0044995

► I first propose a novel approach for sparse coding that further improves upon the sparse representation-based classification (SRC) framework. This proposed framework, affine constrained group…
(more)

Subjects/Keywords: Algorithms; Atoms; Computer vision; Datasets; Error rates; Image classification; Linear programming; Machine learning; Matrices; Signals; algorithm – coding – dictionary – learning – optimization – sparse

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

APA (6^{th} Edition):

Chi, Y. (2013). Block, Group, and Affine Regularized Sparse Coding and Dictionary Learning. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044995

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

Chi, Yu-Tseh. “Block, Group, and Affine Regularized Sparse Coding and Dictionary Learning.” 2013. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0044995.

MLA Handbook (7^{th} Edition):

Chi, Yu-Tseh. “Block, Group, and Affine Regularized Sparse Coding and Dictionary Learning.” 2013. Web. 16 Dec 2019.

Vancouver:

Chi Y. Block, Group, and Affine Regularized Sparse Coding and Dictionary Learning. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0044995.

Council of Science Editors:

Chi Y. Block, Group, and Affine Regularized Sparse Coding and Dictionary Learning. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0044995

22. Wang, Yuanxiang. An Intrinsic Unscented Kalman Filter based Tracker for Manifold-Valued Data and Its Applications.

Degree: PhD, Electrical and Computer Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049628

► The unscented Kalman filter (UKF) is a nonlinear generalization of the well known Kalman filter, which is a linear dynamical system. It is commonly used…
(more)

Subjects/Keywords: Blood vessels; Covariance; Distance functions; Kalman filters; Matrices; Plant roots; Retinal images; Signals; Tensors; Tubular structures; filter – intrinsic – kalman – manifold

…80
9
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
AN…

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

APA (6^{th} Edition):

Wang, Y. (2015). An Intrinsic Unscented Kalman Filter based Tracker for Manifold-Valued Data and Its Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049628

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

Wang, Yuanxiang. “An Intrinsic Unscented Kalman Filter based Tracker for Manifold-Valued Data and Its Applications.” 2015. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0049628.

MLA Handbook (7^{th} Edition):

Wang, Yuanxiang. “An Intrinsic Unscented Kalman Filter based Tracker for Manifold-Valued Data and Its Applications.” 2015. Web. 16 Dec 2019.

Vancouver:

Wang Y. An Intrinsic Unscented Kalman Filter based Tracker for Manifold-Valued Data and Its Applications. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0049628.

Council of Science Editors:

Wang Y. An Intrinsic Unscented Kalman Filter based Tracker for Manifold-Valued Data and Its Applications. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049628

23. Qi, Shaoyu. Image Retargeting and Smart Projectors.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045374

► Image retargeting algorithms aim to adjust the image to the display screen whose aspect ratio or size differ significantly from that of the image by…
(more)

Subjects/Keywords: Algorithms; Binocular vision; Carving; Computer vision; Data smoothing; Graphics; Pixels; Saliency; Seams; Stereo; applications – camera – image – retargeting – stereo

…57
8
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
IMAGE…

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

APA (6^{th} Edition):

Qi, S. (2013). Image Retargeting and Smart Projectors. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045374

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

Qi, Shaoyu. “Image Retargeting and Smart Projectors.” 2013. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0045374.

MLA Handbook (7^{th} Edition):

Qi, Shaoyu. “Image Retargeting and Smart Projectors.” 2013. Web. 16 Dec 2019.

Vancouver:

Qi S. Image Retargeting and Smart Projectors. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0045374.

Council of Science Editors:

Qi S. Image Retargeting and Smart Projectors. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045374

University of Florida

24. Peter, Adrian. Information Geometry for Shape Analysis Probabilistic Models for Shape Matching and Indexing.

Degree: PhD, Electrical and Computer Engineering, 2008, University of Florida

URL: http://ufdc.ufl.edu/UFE0022484

► The study of shape analysis is a core field in computer vision. It is a fundamental building block of higher level cognitive tasks such as…
(more)

Subjects/Keywords: Density; Density estimation; Distance functions; Estimators; Geometric shapes; Geometry; Hyperspheres; Landmarks; Maximum likelihood estimations; Parametric models; analysis, assignment, charvat, density, description, divergence, estimation, fisher, gaussian, geometry, havrda, hellinger, information, length, linear, matching, metric, minimum, mixture, model, rao, root, selection, shape, square, wavelets

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

APA (6^{th} Edition):

Peter, A. (2008). Information Geometry for Shape Analysis Probabilistic Models for Shape Matching and Indexing. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0022484

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

Peter, Adrian. “Information Geometry for Shape Analysis Probabilistic Models for Shape Matching and Indexing.” 2008. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0022484.

MLA Handbook (7^{th} Edition):

Peter, Adrian. “Information Geometry for Shape Analysis Probabilistic Models for Shape Matching and Indexing.” 2008. Web. 16 Dec 2019.

Vancouver:

Peter A. Information Geometry for Shape Analysis Probabilistic Models for Shape Matching and Indexing. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0022484.

Council of Science Editors:

Peter A. Information Geometry for Shape Analysis Probabilistic Models for Shape Matching and Indexing. [Doctoral Dissertation]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0022484

University of Florida

25. Sun, Jiaqi. Sparse Recovery of Ensemble Average Propagators from Compressed Sensing of Diffusion MRI.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2017, University of Florida

URL: http://ufdc.ufl.edu/UFE0050953

Subjects/Keywords: dmri; ml; sensing

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

APA (6^{th} Edition):

Sun, J. (2017). Sparse Recovery of Ensemble Average Propagators from Compressed Sensing of Diffusion MRI. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050953

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

Sun, Jiaqi. “Sparse Recovery of Ensemble Average Propagators from Compressed Sensing of Diffusion MRI.” 2017. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0050953.

MLA Handbook (7^{th} Edition):

Sun, Jiaqi. “Sparse Recovery of Ensemble Average Propagators from Compressed Sensing of Diffusion MRI.” 2017. Web. 16 Dec 2019.

Vancouver:

Sun J. Sparse Recovery of Ensemble Average Propagators from Compressed Sensing of Diffusion MRI. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0050953.

Council of Science Editors:

Sun J. Sparse Recovery of Ensemble Average Propagators from Compressed Sensing of Diffusion MRI. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0050953

University of Florida

26. Lord, Nicholas Andrew. Shape Analysis via Unified Segmentation, Smoothing, and Registration of Riemannian Structures.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2007, University of Florida

URL: http://ufdc.ufl.edu/UFE0021640

► Locality is an important but oft-ignored aspect of shape asymmetry quantification, and segmentation is one method by which to make the locality of an analysis…
(more)

Subjects/Keywords: Asymmetry; Coordinate systems; Curvature; Data smoothing; Distance functions; Hippocampus; Image processing; Maps; Matrices; Pixels; asymmetry, deformation, geometry, hippocampus, intrinsic, level, multiple, mumford, nonrigid, parcellation, reconstruction, registration, riemannian, segmentation, set, shah, simultaneous, smoothing, surface, variational

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

APA (6^{th} Edition):

Lord, N. A. (2007). Shape Analysis via Unified Segmentation, Smoothing, and Registration of Riemannian Structures. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021640

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

Lord, Nicholas Andrew. “Shape Analysis via Unified Segmentation, Smoothing, and Registration of Riemannian Structures.” 2007. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0021640.

MLA Handbook (7^{th} Edition):

Lord, Nicholas Andrew. “Shape Analysis via Unified Segmentation, Smoothing, and Registration of Riemannian Structures.” 2007. Web. 16 Dec 2019.

Vancouver:

Lord NA. Shape Analysis via Unified Segmentation, Smoothing, and Registration of Riemannian Structures. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0021640.

Council of Science Editors:

Lord NA. Shape Analysis via Unified Segmentation, Smoothing, and Registration of Riemannian Structures. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0021640

University of Florida

27. Chen, Ting. Groupwise Analysis of Neuroimaging Data.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043689

This dissertation proposes techniques for automatic brain structure segmentation
*Advisors/Committee Members: Vemuri, Baba C (committee chair), Banerjee, Arunava (committee member), Ho, Jeffrey (committee member), Presnell, Brett D (committee member).*

Subjects/Keywords: Algorithms; Atlases; Computer vision; Cumulative distribution functions; Datasets; Epilepsy; Geometric shapes; Ground truth; Hippocampus; Learning; analysis – atlas – classification – complex – epilepsy – groupwise – hippocampus – registration – segmentation – shape

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

APA (6^{th} Edition):

Chen, T. (2011). Groupwise Analysis of Neuroimaging Data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043689

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

Chen, Ting. “Groupwise Analysis of Neuroimaging Data.” 2011. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0043689.

MLA Handbook (7^{th} Edition):

Chen, Ting. “Groupwise Analysis of Neuroimaging Data.” 2011. Web. 16 Dec 2019.

Vancouver:

Chen T. Groupwise Analysis of Neuroimaging Data. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0043689.

Council of Science Editors:

Chen T. Groupwise Analysis of Neuroimaging Data. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043689

University of Florida

28. Athawale, Tushar M. Quantification and Visualization of Spatial Uncertainty in Isosurfaces for Parametric and Nonparametric Noise Models.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0047747

Isosurfaces are the key entities in visualization, and recent research has focused
*Advisors/Committee Members: ENTEZARI,ALIREZA (committee chair), VEMURI,BABA C (committee member), BANERJEE,ARUNAVA (committee member), AYTUG,HALDUN (committee member).*

Subjects/Keywords: Bandwidth; Datasets; Density estimation; Linear interpolation; Nonparametric models; Parallelograms; Random variables; Statistical discrepancies; Topology; Vertices; geometry – isosurfaces – topology – uncertainty – visualization

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

APA (6^{th} Edition):

Athawale, T. M. (2015). Quantification and Visualization of Spatial Uncertainty in Isosurfaces for Parametric and Nonparametric Noise Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047747

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

Athawale, Tushar M. “Quantification and Visualization of Spatial Uncertainty in Isosurfaces for Parametric and Nonparametric Noise Models.” 2015. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0047747.

MLA Handbook (7^{th} Edition):

Athawale, Tushar M. “Quantification and Visualization of Spatial Uncertainty in Isosurfaces for Parametric and Nonparametric Noise Models.” 2015. Web. 16 Dec 2019.

Vancouver:

Athawale TM. Quantification and Visualization of Spatial Uncertainty in Isosurfaces for Parametric and Nonparametric Noise Models. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0047747.

Council of Science Editors:

Athawale TM. Quantification and Visualization of Spatial Uncertainty in Isosurfaces for Parametric and Nonparametric Noise Models. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047747

University of Florida

29. Garita, Barbara. Guided Surgery Using Rapid Prototyping Patient-Specific Guides A Methodology to Quantify Mechanical Stability and Uniqueness of Fit.

Degree: PhD, Biomedical Engineering, 2007, University of Florida

URL: http://ufdc.ufl.edu/UFE0012401

► Rapid prototyping technology (3-dimensional printing) in conjunction with the virtual manipulation of computer-generated 3-D anatomical models rendered from diagnostic images (CT and MRI) is a…
(more)

Subjects/Keywords: Asians; Boxes; Coordinate systems; Histograms; Infants; Linear programming; Stiffness; Stiffness matrix; Three dimensional modeling; Trusses; contact, fem, guided, image, itk, mechanics, prototyping, rapid, surgery, vtk

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APA (6^{th} Edition):

Garita, B. (2007). Guided Surgery Using Rapid Prototyping Patient-Specific Guides A Methodology to Quantify Mechanical Stability and Uniqueness of Fit. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0012401

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

Garita, Barbara. “Guided Surgery Using Rapid Prototyping Patient-Specific Guides A Methodology to Quantify Mechanical Stability and Uniqueness of Fit.” 2007. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0012401.

MLA Handbook (7^{th} Edition):

Garita, Barbara. “Guided Surgery Using Rapid Prototyping Patient-Specific Guides A Methodology to Quantify Mechanical Stability and Uniqueness of Fit.” 2007. Web. 16 Dec 2019.

Vancouver:

Garita B. Guided Surgery Using Rapid Prototyping Patient-Specific Guides A Methodology to Quantify Mechanical Stability and Uniqueness of Fit. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0012401.

Council of Science Editors:

Garita B. Guided Surgery Using Rapid Prototyping Patient-Specific Guides A Methodology to Quantify Mechanical Stability and Uniqueness of Fit. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0012401

University of Florida

30. Myles, Ashish. Curvature-Continuous Bicubic Subdivision Surfaces for Polar Configurations.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2008, University of Florida

URL: http://ufdc.ufl.edu/UFE0022832

► Subdivision surfaces are popular in animation as a way of smoothing coarse control meshes. On the other hand, the Computer-Aided Design (CAD) industry typically prefers…
(more)

Subjects/Keywords: Approximation; Computer aided design; Computer graphics; Connectivity; Curvature; Eigenvalues; Eigenvectors; Grid refinement; Polynomials; Vertices; bicubic, c2, configuration, connectivity, continuous, curvature, mesh, non, polar, quad, stationary, subdivision, surface

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

APA (6^{th} Edition):

Myles, A. (2008). Curvature-Continuous Bicubic Subdivision Surfaces for Polar Configurations. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0022832

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

Myles, Ashish. “Curvature-Continuous Bicubic Subdivision Surfaces for Polar Configurations.” 2008. Doctoral Dissertation, University of Florida. Accessed December 16, 2019. http://ufdc.ufl.edu/UFE0022832.

MLA Handbook (7^{th} Edition):

Myles, Ashish. “Curvature-Continuous Bicubic Subdivision Surfaces for Polar Configurations.” 2008. Web. 16 Dec 2019.

Vancouver:

Myles A. Curvature-Continuous Bicubic Subdivision Surfaces for Polar Configurations. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2019 Dec 16]. Available from: http://ufdc.ufl.edu/UFE0022832.

Council of Science Editors:

Myles A. Curvature-Continuous Bicubic Subdivision Surfaces for Polar Configurations. [Doctoral Dissertation]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0022832