Keyphrases
Rectified Linear Unit (ReLU)
100%
Low-rank
62%
Tensor Decomposition
50%
Image Processing
50%
Nonlinear Saddle Point Problems
50%
Skew-symmetric Splitting
50%
Elasticity Tensor
50%
M-tensor
50%
Strong Ellipticity Condition
50%
Distributed Gradient Descent
50%
Monotone
50%
Pure Quaternion
50%
Smooth Functionals
50%
Pure Quaternion Matrices
50%
Splitting Method
50%
Nonlinear Functional
50%
Functional Learning
50%
Quaternion Matrix
43%
Activation Function
41%
Low-rank Approximation
37%
Approximation Error
33%
Color Image
31%
Continuous Functionals
29%
Deep Neural Network
29%
Rate of Approximation
29%
Learning Algorithm
29%
Approximation Power
29%
Low-rank Plus Sparse
25%
Sparse Model
25%
Approximate Model
25%
Strong Ellipticity
20%
Fourth Order
20%
Real Component
18%
Matrix Manifold
18%
Functional Data
18%
Non-Hermitian Positive Definite Linear Systems
16%
Algorithm Convergence
16%
Linearly Constrained Convex Optimization Problem
16%
Strict Convexity
16%
Logm
16%
Space of Analytic Functions
16%
Logarithmic Rate
16%
Extracting Features
16%
Numerical Simulation
16%
Image Restoration Problem
16%
Neural Network
16%
Polynomial Rate
16%
Unit Ball
16%
Modulus of Continuity
16%
High-order
16%
Hermitian
16%
High-order Smoothness
16%
Skew-Hermitian
16%
Approximation Results
16%
Inexact Criteria
16%
Functional Networks
16%
Network Structure
16%
Target Functional
16%
Alternating Projections
16%
Real-world Application
12%
Seismic Imaging
12%
Color Image Compression
12%
Tensor multiplication
12%
Space Form
12%
Tensor Train
12%
Singular Value Decomposition
12%
Signal Machine
12%
Machine Learning
12%
Third Dimension
12%
Two-tensor Model
12%
Physical Meaning
12%
Process Signal
12%
Higher-order Tensor
12%
Signal Processing
12%
Optimization Methods
12%
Imaging Applications
12%
Low-rank Model
12%
Well-defined
12%
T-SVD
12%
Data Science
12%
Low-rank Decomposition
12%
Matrix Image
12%
Optimal Approximation
12%
Nonconvex Optimization Problems
12%
Multidimensional Data
12%
Third-order Tensor
12%
Matrix Decomposition
12%
Low-rank Tensor Model
12%
Piecewise Linear Interpolation
12%
Matrix Approximation
12%
Triangulation
12%
Projection Algorithm
12%
Data Learning
12%
FLANN
12%
Regularity Conditions
12%
Theoretical Properties
12%
Local Machine
11%
Functional Data Analysis
11%
Positive Definite
10%
Equivalent Definitions
10%
Spectral Radius
10%
Unfolding Matrix
10%
Perron-Frobenius
10%
M-eigenvalue
10%
Low-rank Matrix
6%
Intersection Point
6%
Numerical Examples
6%
Image Processing Applications
6%
Color Image Processing
6%
Quaternion Singular Value Decomposition
6%
Red-green
6%
Optimal Rank
6%
Machine Model
5%
Irregularity Index
5%
Operator Approach
5%
Random Functionals
5%
Parallel Learning
5%
Iterative Training
5%
Ways of Understanding
5%
Functional Covariates
5%
Functional Regression
5%
Distributed Learning
5%
Learning Approaches
5%
Confidence-based
5%
Optimal Learning Rate
5%
Reproducing Kernel Hilbert Space
5%
Single Machine
5%
Integral Operator
5%
Gradient Descent
5%
Theoretical Understanding
5%
Information Era
5%
Divide-and-conquer
5%
Large-scale Data
5%
Learning-based
5%
Training Approaches
5%
Infinite Dimension
5%
Optimal Rate
5%
Big Data Challenges
5%
Data-centric
5%
Learning Scheme
5%
Mathematics
Functional Data
100%
Continuous Functionals
75%
Approximates
75%
Neural Network
75%
Deep Neural Network
75%
Matrix (Mathematics)
54%
Image Processing
53%
Tensor
50%
Skew Symmetric
50%
Functionals
50%
Approximation Error
50%
Piecewise Linear
50%
Saddle Point
50%
Linear Interpolation
50%
Integer
50%
Regularity Condition
50%
Color Image
27%
Space of Analytic Functions
25%
Hlder Space
25%
Unit Ball
25%
Linear System
25%
Total Number
25%
Subproblem
25%
Positive Definite
25%
Objective Function
25%
Polynomial
25%
Operator Approach
16%
Single Machine
16%
Hilbert Space
16%
Integral Operator
16%
Data Sample
16%
Divide and Conquer
16%
Covariate
16%
Low-Rank Approximation
16%
Tensor Decomposition
12%
Real Component
11%
Manifold
11%
Singular Value Decomposition
8%
Approximated Matrix
7%
Computer Science
Gradient Descent
50%
Image Processing
50%
Rank Approximation
50%
Image Compression
25%
Multidimensional Data
25%
Singular Value
25%
Efficient Algorithm
25%
Optimization Problem
25%
World Application
25%
Decomposition Matrix
25%
Approximation (Algorithm)
25%
Machine Learning
25%
Physical Meaning
25%
Learning System
25%
Learning Algorithm
18%
Functional Data Analysis
12%
Learning Scheme
6%
Mild Condition
6%
Learning Rate
6%
Single Machine
6%
Big Data
6%
Learning Approach
6%
Maximal Number
6%
Reproducing Kernel
6%
Functional Data
6%
Large Scale Data
6%
Hilbert Space
6%