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Sparse and Compressive Sensing Techniques

Sparse and Compressive Sensing Techniques

65 faculty research Sparse and Compressive Sensing Techniques on GradNova.

A
Advanced Bandit Algorithms Research
Markov Chains and Monte Carlo Methods
Sparse and Compressive Sensing Techniques
Statistical Methods and Inference
+1
R
Advanced Chemical Sensor Technologies
Anomaly Detection Techniques and Applications
Neural Networks and Applications
Sparse and Compressive Sensing Techniques
+1
P
Prashant Khanduri

Assistant Professor, Computer Science

Computer Science

Wayne State University

Distributed Sensor Networks and Detection Algorithms
Privacy-Preserving Technologies in Data
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
+1
H
Hanbaek Lyu

Assistant Professor, Department of Mathematics

Computer Science

University of Wisconsin–Madison

Cellular Automata and Applications
Nonlinear Dynamics and Pattern Formation
Sparse and Compressive Sensing Techniques
Stochastic Processes and Statistical Mechanics
+1
J
Advanced Optimization Algorithms Research
Full-Duplex Wireless Communications
Optimization and Variational Analysis
Sparse and Compressive Sensing Techniques
+1
Y
Complex Network Analysis Techniques
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
Statistical Methods and Inference
+1
Y
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
Sparse and Compressive Sensing Techniques
+1
S
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
Sparse and Compressive Sensing Techniques
+1
S
Advanced Bandit Algorithms Research
Advanced Optimization Algorithms Research
Risk and Portfolio Optimization
Sparse and Compressive Sensing Techniques
+1
A
Database and Knowledge-Base Systems
Formal Languages and Their Application to Databases
Graph Theory
Topic Modeling
+4
A
Algorithms (approximation / Online Algorithms, Graph Algorithms)
Artificial Intelligence (ml: Theory and Modeling)
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
+3
G
Gonzalo Mateos

Professor of Electrical and Computer Engineering Professor of Computer Science

Computer Science

University of Rochester

Computer Networks
Decentralized Optimization
Graph Signal Processing
Machine Learning
+6
A
Advanced Graph Neural Networks
Complex Network Analysis Techniques
Distributed Control Multi-Agent Systems
Sparse and Compressive Sensing Techniques
+1
C
Machine Learning
Face and Expression Recognition
Biometric Identification and Security
Ethics and Social Impacts of AI
+2
Q
Qianqian Tong

Assistant Professor and Associate Head (Interim)

Computer Science

University of North Carolina at Greensboro

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Microbial Community Ecology and Physiology
Sparse and Compressive Sensing Techniques
+1
A
Intelligent and Autonomous Systems
Sparse and Compressive Sensing Techniques
Generative Adversarial Networks and Image Synthesis
Solar and Space Plasma Dynamics
+2
X
Advanced Neural Network Applications
Face and Expression Recognition
Medical Image Segmentation Techniques
Sparse and Compressive Sensing Techniques
+1
J
Advanced Image Processing Techniques
Advanced Optimization Algorithms Research
Matrix Theory and Algorithms
Sparse and Compressive Sensing Techniques
+1
D
Daniel Boley

Professor, Distinguished University Teaching Professor

Computer Science

University of Minnesota

Face and Expression Recognition
Matrix Theory and Algorithms
Numerical Methods for Differential Equations
Sparse and Compressive Sensing Techniques
+1
A
AI for Chemistry
AI for Psychiatry
Machine Learning
Advanced Bandit Algorithms Research
+4
Y
Advanced Image and Video Retrieval Techniques
Advanced MRI Techniques and Applications
Image Retrieval and Classification Techniques
Medical Imaging Techniques and Applications
+1
Q
Qiang (Shawn) Cheng

Associate Professor, Division of Biomedical Informatics, Department of Internal Medicine (courtesy joint appointment)

Computer Science

University of Kentucky

Blind Source Separation Techniques
Face and Expression Recognition
Remote-Sensing Image Classification
Sparse and Compressive Sensing Techniques
+1
A
Hydraulic Fracturing and Reservoir Analysis
Reservoir Engineering and Simulation Methods
Seismic Imaging and Inversion Techniques
Seismic Waves and Analysis
+1
A
Advanced Bandit Algorithms Research
Distributed Control Multi-Agent Systems
Reinforcement Learning in Robotics
Sparse and Compressive Sensing Techniques
+1
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