Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery

Computer Science

• Hard Thresholding 100%
• Algorithms 66%
• Procedure 66%
• Signal Processing 33%
• Gradient Descent 33%
• Low-Rank 33%
• Mathematical Convergence 33%
• Stochastic Algorithm 33%
• Linear Measurement 33%
• Recovery Problem 33%
• Application 33%
• Research Worker 33%
• Vector 33%
• Learning System 33%
• Machine Learning 33%

Engineering

• Recovery 100%
• Rank Tensor 100%
• Hard Thresholding 100%
• Algorithm 60%
• Illustrates 20%
• Signal Processing 20%
• Lower Rank 20%
• Real Data 20%
• Application 20%
• Performance 20%
• Vector 20%
• Gradient Descent 20%
• Recovery Problem 20%
• Experiment 20%
• Learning System 20%
• Measurement 20%

Mathematics

• Thresholding 100%
• Stochastics 100%
• Rank Tensor 100%
• Algorithm 60%
• Tensor Decomposition 40%
• Tensor 20%
• Synthetic Data 20%
• Convergence Analysis 20%
• Linear Convergence 20%
• Vector 20%
• Real Data 20%
• Signal Processing 20%