Keyphrases
Enhanced multivariance Product Representation
100%
Hyperspectral
76%
Perturbation Expansion
57%
High Dimensional Model Representation
57%
Lossy Compression
41%
Matrix Representation
38%
Component Extraction
38%
Spectral Components
38%
Machine Learning Algorithms
32%
Decomposition Method
26%
Eigenfunctions
25%
Approximation Methods
25%
Support Vector Machine
25%
Classification Performance
24%
Representation Method
23%
Definite Integral
20%
Probabilistic Evolution Theory
19%
Fourier Basis
19%
Gene Teams
19%
Hilbert-Schmidt Integral Operator
19%
Remainder Term
19%
Approximation of multivariate Functions
19%
Universal Matrix
19%
Free Matrix
19%
Dimethyl Methylphosphonate
19%
Univariate Integration
19%
Gene Network
19%
High-dimensional Modeling
19%
Weighted Singular Value Decomposition
19%
Optimal Support
19%
Quartz Crystal Microbalance Sensor
19%
Taylor Expansion
19%
High-throughput Detection
19%
Gauss
19%
Initial Value Problem
19%
Taylor Series
19%
Multilinear
19%
Weight Function
19%
Piecewise
19%
Highly Selective Detection
19%
Factorized
19%
Hilbert-Schmidt Operator
19%
Poly(3-hexylthiophene) (P3HT)
19%
Polypyrrole
19%
Vis-NIR
19%
Efficient Feature Extraction
19%
Copolymer
19%
Handheld
19%
Wave Mode
19%
Set Function
19%
Engineering
Hyperspectral Image
57%
Perturbation Expansion
38%
Lossy Compression
38%
Basis Function
38%
Classification Performance
24%
Support Vector Machine
21%
Initial Value
19%
Imposition
19%
Convolutional Neural Network
19%
Artificial Intelligence
19%
Spectral Component
19%
Machine Learning Algorithm
19%
Fourier Series
19%
Taylor Series
19%
Dimensional Data
19%
Dimensional Model
19%
Feature Extraction
19%
Weight Function
19%
Eigenpairs
12%
Eigenfunction
12%
Hyperspectral Data
12%
Taylor Expansion
9%
Graphical User Interface
9%
Networks (Circuits)
9%
Infrared Region
9%
Learning Approach
9%
Compression Algorithm
9%
Numerical Implementation
9%
Gauss
9%
Measurement Data
9%
Data Collection
9%
Circuit Design
9%
Iterative Process
9%
Photodiode Array
9%
Electronic Design
9%
Spectral Region
9%
Nodes
9%
Peak Signal
9%
Least Square
9%
Neural Network Approach
9%
Learning System
9%
Signal-to-Noise Ratio
9%
Test Result
9%
Dominant Eigenvalue
6%
Expansion Coefficient
6%
Eigenvector
6%
Mathematics
Integral Operator
57%
Eigenfunction
44%
Matrix (Mathematics)
38%
Dominant Eigenvalue
38%
Matrix Representation
38%
High Dimensional Model Representation
38%
Integral
30%
Approximates
28%
Perturbation Series
25%
Multivariate Functions
24%
Basis Function
19%
Bivariate
19%
Taylor Series
19%
Numerics
19%
Singular Value Decomposition
19%
Volume Limit
19%
Symmetric Kernel
19%
Weight Matrix
19%
Approximation Method
19%
Support Function
19%
Hilbert-Schmidt Operator
19%
Finite Interval
19%
Decomposition Method
12%
Set Function
9%
Remainder Term
9%
Divide and Conquer
9%
Continuous Case
9%
Discrete Case
9%
Reductive
9%
Signal Processing
9%
Approximant
9%
Linear Algebra
9%
Taylor Expansion
9%
Eigenvector
6%
