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Author:

Mckay, John David

Title:

Tailored Algorithms for Synthetic Aperture Image Formation and Analysis

Graduate Program:

Electrical Engineering

Keywords:

Synthetic Aperture Sonar
Synthetic Aperture Radar
Deep Learning
Transfer Learning
automatic target recognition

File:

Download JohnMcKay-Dissertation.pdf

Committee Members:

Vishal Monga, Dissertation Advisor/Co-Advisor
Vishal Monga, Committee Chair/Co-Chair
Jesse Louis Barlow, Committee Member
Jeffrey Louis Schiano, Committee Member
Necdet S Aybat, Outside Member

Author:

Wang, Hang

Title:

Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification

Graduate Program:

Electrical Engineering

Keywords:

Mixture Model
Transfer Learning
CNN

File:

Download thesis_Hang_Wang.pdf

Committee Members:

David Jonathan Miller, Thesis Advisor/Co-Advisor
Constantino Manuel Lagoa, Committee Member

Author:

Bhattacharya, Chandrachur

Title:

Frontiers in Data-driven Learning via Probabilistic Finite State Automata

Graduate Program:

Mechanical Engineering

Keywords:

Data-driven
Machine Learning
Time-series analysis
Combustion Instablity
Thermoacoustic Instability
Pattern Recognition
Reduced Order Modeling
Rijke tube
Probabilisitc Finite State Automata
Symbolic Time Series Analysis
Combustion dynamics
Combustion
Hidden Markov Model
LSTM
Projection PFSA
Chaos
Natural Circulation Loop
Crack detection
Online Learning
Transfer Learning
DDDAS
PFSA
STSA

File:

Download Dissertation_ChandrachurBhattacharya_Final.pdf

Committee Members:

Minghui Zhu, Outside Unit Member
Shashi Phoha, Outside Field Member
Daniel Haworth, Major Field Member
Achintya Mukhopadhyay, Special Member
Asok Ray, Chair & Dissertation Advisor
Daniel Haworth, Professor in Charge/Director of Graduate Studies

Author:

Liu, Shuo Shuo

Title:

Statistical Learning on High-Dimensional Multi-Source Data

Graduate Program:

Statistics

Keywords:

Transfer Learning
Multi-View Clustering
High-Dimensional Data
Machine Learning

File:

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Committee Members:

Bing Li, Professor in Charge/Director of Graduate Studies
Xiang Zhu, Major Field Member
Lan Kong, Outside Unit & Field Member
Matthew Reimherr, Major Field Member
Runze Li, Chair & Dissertation Advisor

Author:

Agarwala, Vandana

Title:

Cross-Species Prediction of Transcription Factor Binding

Graduate Program:

Statistics

Keywords:

Bioinformatics
Deep Learning
Gene Regulation
Domain Adaptation
Transfer Learning
Computational Biology
Machine Learning

File:

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Committee Members:

Shaun Mahony, Thesis Advisor/Co-Advisor
Qunhua Li, Thesis Advisor/Co-Advisor
Ephraim Hanks, Professor in Charge/Director of Graduate Studies
Xiang Zhu, Committee Member