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Sparse and Compressive Sensing Techniques

Sparse and Compressive Sensing Techniques

180 faculty research Sparse and Compressive Sensing Techniques on GradNova.

F
Heat Transfer and Supercritical Fluids
Nuclear Materials and Properties
Nuclear Reactor Physics and Engineering
Philosophy and Theoretical Science
+4
K
Machine Learning
Theoretical Computer Science
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
+3
M
Advanced Steganography and Watermarking Techniques
Chaos-Based Image/signal Encryption
Cryptography and Data Security
Digital Media Forensic Detection
+1
F
Computer Vision
Data Mining
Machine Learning
Neural Networks
+6
J
Artificial Intelligence > Computer Vision, Medical Imaging, Image and Video Processing
Artificial Intelligence > Machine Learning, Data Mining
Big Data and Data Science > Big Data Modeling, Analysis, Optimization, Scalability
Bioinformatics and Health Informatics
+6
D
Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Generative Adversarial Networks and Image Synthesis
Sparse and Compressive Sensing Techniques
+1
T
Tianbao Yang

Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Advanced Control Systems Optimization
Computational Drug Discovery Methods
Fault Detection and Control Systems
Network Security and Intrusion Detection
+6
H
Machine Learning
Machine Learning & Data Mining
Privacy-Preserving Technologies in Data
Stochastic Gradient Optimization Techniques
+3
M
Mitchell Thornton, Ph.D.

Cecil H. Green Chair of Engineering; Executive Director of Darwin Deason Institute for Cyber Security; Professor of Electrical and Computer Engineering; Professor of Computer Science (by Courtesy)

Department of Electrical and Computer Engineering

Southern Methodist University

Blind Source Separation Techniques
Mathematical Analysis and Transform Methods
Quantum Computing Algorithms and Architecture
Quantum Information and Cryptography
+1
A
Anomaly Detection Techniques and Applications
IoT and Edge/fog Computing
Network Security and Intrusion Detection
Smart Grid Security and Resilience
+1
A
Advanced Malware Detection Techniques
Face and Expression Recognition
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
+1
B
Ben Raphael

Graduate Class of 1991 Professor of Computer Science

Computer Science

Princeton University

Computational Biology
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
Markov Chains and Monte Carlo Methods
S
Complexity and Algorithms in Graphs
Limits and Structures in Graph Theory
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
+1
M
Advanced Bandit Algorithms Research
Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
+1
R
Artificial Intelligence and Robotics
Communications and Signal Processing
Data Science and Engineering
Health Engineering
+5
J
Communications and Signal Processing
Energy Systems
Smart Grid Security and Resilience
Power System Optimization and Stability
+3
A
Artificial Intelligence and Robotics
Communications and Signal Processing
Data Science and Engineering
Distributed Control Multi-Agent Systems
+4
Z
Zhihui Zhu

Assistant Professor, Computer Science and Engineering

Computer Science and Engineering

The Ohio State University

Blind Source Separation Techniques
Image and Signal Denoising Methods
Microwave Imaging and Scattering Analysis
Sparse and Compressive Sensing Techniques
+1
I
Advanced Graph Neural Networks
Advanced Graph Theory Research
Complexity and Algorithms in Graphs
Matrix Theory and Algorithms
+1
V
Vladimir Braverman

Associate Head of Faculty and Professor

Computer Science

Johns Hopkins University

Healthcare Applications
Machine Learning
Theoretical Computer Science
Sparse and Compressive Sensing Techniques
+4
R
Applications to Speech and Language Processing
Machine Learning
Statistical Signal Processing
Stochastic Approximation Algorithms
+5
M
Advanced Image Fusion Techniques
Image and Signal Denoising Methods
Reflective Practices in Education
Sparse and Compressive Sensing Techniques
+1
A
Anru Zhang

Professor of Biostatistics & Bioinformatics, Associate Professor of Biostatistics & Bioinformatics and Associate Professor of Computer Science

Computer Science

Duke University

Automotive and Human Injury Biomechanics
Effects of Vibration on Health
Traffic Control and Management
Sparse and Compressive Sensing Techniques
+4
F
Florentina Bunea

Professor of Statistics and Data Science

Computer Science

Cornell University

Asymptotic Statistics
High-Dimensional Statistical Inference
Latent Space Estimation
Machine Learning
+11
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