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Author:

Funk, Christopher A

Title:

On a Computation Model for Human and Machine Symmetry Perception

Graduate Program:

Computer Science and Engineering

Keywords:

Symmetry
Deep Learning
Convolutional Neural Networks
Machine Learning
Wallpaper Groups
Topology Comparison
EEG

File:

Download ChristopherFunk-Dissertation.pdf

Committee Members:

Yanxi Liu, Dissertation Advisor/Co-Advisor
Yanxi Liu, Committee Chair/Co-Chair
Robert Collins, Committee Member
William Evan Higgins, Committee Member
David T Reitter, Outside Member

Author:

Tofighi, Mohammad

Title:

Informed Learning for Image Restoration and Understanding

Graduate Program:

Electrical Engineering

Keywords:

Machine Learning
Cell Detection
Image Processing
Image Deblurring
Deep Learning
Video Deblurring

File:

Download Tofighi_Dissertation.pdf

Committee Members:

Vishal Monga, Dissertation Advisor/Co-Advisor
Vishal Monga, Committee Chair/Co-Chair
William Evan Higgins, Committee Member
Jeffrey Louis Schiano, Committee Member
Leonid V Berlyand, Outside Member
Kultegin Aydin, Program Head/Chair

Author:

Ravichandran, Bharadwaj

Title:

BioPose-3D and PressNet-KL: A Path to Understanding Human Pose Stability from Video

Graduate Program:

Computer Science and Engineering

Keywords:

Foot Pressure Estimation
Pose Estimation
Human Stability
Deep Learning
Computer Vision

File:

Download BioPose3D_and_PressNet_KL__A_Path_to_Understanding_Stability_from_Video.pdf

Committee Members:

Yanxi Liu, Thesis Advisor/Co-Advisor
Robert Collins, Committee Member
William Evan Higgins, Committee Member
Chitaranjan Das, Program Head/Chair

Author:

Bangalore Narasimha Prasad, Sumukha

Title:

Ultrasound Computed Tomography using Deep Learning

Graduate Program:

Computer Science and Engineering

Keywords:

Ultrasound Computer Tomograpghy
Deep Learning
CRF
Encoder-Decoder
Reconstruction

File:

Download SumkhaPrasad_Master_Thesis.pdf

Committee Members:

Mohamed Khaled Almekkawy, Thesis Advisor/Co-Advisor
William Evan Higgins, Committee Member
Chitaranjan Das, Program Head/Chair

Author:

Alshahrani, Mohammed

Title:

deep learning approaches for object tracking and motion estimation of ultrasound imaging sequences

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Deep Learning
Object tracking
CFNet
Advanced-CFNet

File:

Download Final_submission.pdf

Committee Members:

John Sampson, Professor in Charge/Director of Graduate Studies
Mohamed Khaled Almekkawy, Thesis Advisor/Co-Advisor
William Evan Higgins, Committee Member