Keyphrases
Phase Retrieval
100%
Gabor Frames
75%
Measuring Frame
62%
Time-frequency
56%
Random Vector Functional Link Network
56%
Phaseless Measurements
53%
Neural Network
43%
Approximation Error
43%
Function Approximation
37%
Approximation on Manifolds
37%
Phase Retrieval Problem
37%
Non-asymptotic Setting
28%
Geometric Properties
28%
Inverse Problem
28%
Non-asymptotic
24%
Hidden Layer
24%
Signal Processing
24%
Frame Coefficients
22%
High Probability
22%
Audio Enhancement
18%
Finite Dimension
18%
Frame Bounds
18%
Structured Matrices
18%
Extreme Singular Values
18%
Eigenvector Delocalization
18%
Graph Uncertainty Principle
18%
Uniform Approximation
18%
Uncertainty Bounds
18%
Non-negative Matrix Factorization
18%
Recovery Algorithm
18%
Number of Measurements
18%
Lambda
18%
Binary Data
18%
Classification Scheme
18%
Fourier Coefficients
18%
Gabor
18%
Robust Phase Retrieval
18%
Numerical Experiments
18%
Learning Speed
18%
Euclidean Space
18%
Continuous Function
18%
Neural Network Architecture
18%
Random Inputs
18%
Learning Requirement
18%
Feedforward Neural Network
18%
Network Node
18%
Gradient Method
18%
Random Neural Network
18%
Deep Learning Applications
18%
Compact Domain
18%
Mathematics
Gabor Frames
84%
Random Vector
56%
Neural Network
43%
Approximation Function
37%
Manifold
37%
Signal Processing
34%
Order Statistics
24%
Probability Theory
24%
Approximation Error
24%
Asymptotics
23%
Singular Value
18%
Structured Matrix
18%
random time δ
18%
Finite Dimension
18%
Theoretic Approach
18%
Matrix
18%
Hierarchical Data
18%
Synthetic Data
18%
Mathematical Analysis
18%
Time Shift
18%
Real Data
18%
Binary Data
18%
Uniform Approximation
18%
Independence Assumption
18%
Fourier Coefficient
18%
Eigenvector
18%
Ridge Functions
18%
Open Problem
18%
Approximates
15%
Gaussian Distribution
12%
Rounding Error
9%
Regular Graph
9%
Submanifold
9%
Numerical Experiment
9%
Continuous Function
9%
Random Input
9%
Euclidean Space
9%
Asymptotic Form
9%
Deep Learning Method
9%
Applied Harmonic Analysis
9%
Mathematics
9%
Lipschitz Continuous Function
6%
Harmonic Analysis
6%
Lipschitz Constant
6%
Computer Science
Information Retrieval
56%
Approximation (Algorithm)
51%
Function Approximation
37%
Inverse Problem
28%
Signal Reconstruction
18%
Retrieval Algorithm
18%
Considered Case
18%
reconstruction algorithm
18%
nonnegative matrix factorization
18%
Eigenvector
18%
Speech Recognition
18%
Continuous Function
15%
Asymptotic Form
15%
Network Parameter
15%
Neural Network Architecture
15%
Learning Algorithm
15%
Feed Forward Neural Networks
15%
Neural Network
15%
Layer Neural Network
15%
Rigorous Proof
15%
Deep Learning Method
15%
World Application
9%
