Keyphrases
Reproducing Kernel Hilbert Space
68%
Adaptive Projected Subgradient Method
66%
Closed Convex Sets
63%
Sparsity
55%
Adaptive Algorithm
51%
Online Learning
45%
Adaptive Learning
38%
Numerical Examples
34%
Dimensionality Reduction
33%
Nonconvex
32%
Metric Projection
31%
Convex Constraints
31%
Numerical Test
30%
Set Theoretic Estimation
29%
Diffusion Networks
29%
Numerical Results
28%
Gradient Projection
27%
Beamforming
27%
Adaptive Filter
27%
Sparsity-based Algorithm
27%
Generalized Thresholding
27%
Signal Processing
27%
Analytic Tools
26%
Sparsity-aware
26%
Competitive Performance
26%
Hybrid Steepest Descent Method
25%
Matrix-valued Wavelet
25%
Compactly Supported
25%
Projection Mapping
25%
Distributed Learning
25%
Sparse System Identification
25%
Kernel-based Classification
25%
Sparsity Learning
25%
High-dimensional Data
25%
Sparsification
23%
Time-adaptive
22%
Convex Set
21%
Big Data Analytics
20%
Filtering Scheme
20%
Biorthogonal
20%
Sparsity-promoting
19%
Identification Task
19%
Full Convergence
18%
Cost Function
18%
Beamformer
18%
Infinite Dimension
18%
Robust Adaptive Filtering
16%
Multi-access
16%
Unconditional Basis
16%
Robust Adaptive
16%
Wiener-Hopf Equation
16%
Projection Method
16%
Multi-domain
16%
Computer Vision
16%
Robust Regression
16%
Efficient Clustering
16%
Random Projection
16%
Sliding Window
16%
Random Sketching
16%
Big Data Clustering
16%
Krylov Subspace
16%
Domain Adaptive
16%
Adaptive Distributed Learning
16%
Stochastic Approximation
16%
Affine Projection Algorithm
15%
Convergence Analysis
15%
Loss Function
15%
Learning Task
15%
Algorithmic Solution
15%
Convergence Property
15%
Reduced Complexity
14%
K-means
14%
Regression Task
14%
Noisy Information
13%
Statistical Noise
13%
Subgradient
13%
Linear Complexity
13%
Adaptive Projection
13%
Quasi-nonexpansive Mapping
13%
Threshold Rule
13%
Adaptive Sparsity
12%
Set-theoretic
12%
Sparse LMS
12%
Associated Costs
12%
Time-recursive
12%
Learning Tools
12%
Coupled Oscillator Array
12%
Variable Metric
12%
Multiple Regression
12%
Property Set
12%
System Identification
12%
Low Computational
12%
Adaptive Sparse Representation
12%
Least Absolute Shrinkage and Selection Operator (LASSO)
12%
Linear Dependence
12%
Recent Advances
12%
Total Least Squares
12%
Dictionary Learning
12%
Computational Complexity
12%
Training Data
11%
Computer Science
Sparsity
100%
Hilbert Space
77%
Reproducing Kernel
70%
Adaptive Learning
50%
Electronic Learning
43%
Adaptive Algorithm
37%
System Identification
35%
Distributed Learning
35%
Big Data
33%
Adaptive Filter Design
33%
Dimensionality Reduction
29%
Analytics Tool
26%
Least Squares Methods
23%
Numerical Example
23%
Convex Constraint
20%
Big Data Analytics
20%
High Dimensional Data
20%
Computational Complexity
18%
Signal Reconstruction
16%
Dictionary Learning
16%
Stochastic Approximation
16%
Clustered Data
16%
Krylov Subspace
16%
Sliding Window
16%
Random Projection
16%
Regression Task
16%
Relative Performance
16%
MIMO Systems
16%
Computer Vision
16%
Fixed Points
15%
Steering Vector
14%
Linear Subspace
13%
Convergence Property
13%
Mathematical Convergence
13%
Affine Projection Algorithm
12%
Constraint Set
12%
Correlation Matrix
12%
Priori Knowledge
12%
Online Systems
12%
Learning Framework
11%
Learning Approach
11%
Training Data
10%
Supervised Learning
10%
Equalization Problem
10%
recursive least square
9%
Optimization Task
9%
image denoising
8%
Approximation Algorithms
8%
Learning Performance
8%
Shannon Capacity
8%
Information Organization
8%
Training Process
8%
K-Means Clustering
8%
Risk Management
8%
Communication Bandwidth
8%
Modeling Algorithm
8%
on-line algorithm
8%
Online Dictionary
8%
Mobile Robot
8%
Sequential Mode
8%
Bayesian Networks
8%
Proprietary Information
8%
Communication Cost
8%
Feature Vector
8%
Kernel Function
8%
Cellular Network
8%
Mobility Management
8%
Predictive Performance
8%
Spectral Clustering
8%
Oblique Projection
8%
Orthogonal Projection
8%
Neighboring Node
8%
Cold Start Problem
8%
Recommendation Accuracy
8%
Medical Imaging
8%
Proximity Matrix
8%
Anomaly Detection
8%
Dimensional Vector
8%
Sentiment Analysis
8%
Antenna System
8%
recursive least square algorithm
8%
Big Data Application
8%
Unknown Parameter Vector
8%
Mean Algorithm
8%
Regression Method
8%
Feature Selection
8%
Performance Improvement
8%
Propagation Mechanism
8%
Dimensional Model
8%
Theoretic Approach
8%
Structural Health
8%
Classification Task
8%
array antenna
8%
Classification Accuracy
8%
Feature Extraction
8%
Artificial Intelligence
8%
Random Walk
8%
Smart City
8%
Sensor Network
8%
Deep Neural Network
8%
Mathematics
Closed Convex Set
68%
Hilbert Space
50%
Subgradient
37%
Matrix
29%
Numerical Example
28%
Hybrid Steepest Descent Method
25%
Adaptive Filtering
25%
Wavelet
22%
Dimensionality Reduction
20%
Metric Projection
20%
Learning Task
19%
Signal Processing
19%
Cost Function
18%
Thresholding
16%
Unconditional Basis
16%
Dimensional Data
16%
Stochastics
16%
Total Least Squares
16%
Real Data
16%
K-Means
16%
Priori Knowledge
16%
Observed Data
16%
Time Instant
14%
Least Square
13%
Convergence Analysis
13%
Clustering
12%
Data Analytics
12%
Robust Regression
12%
Subgradient Projection
12%
Convex Set
12%
Linear Regression Analysis
12%
Asymptotics
11%
Positive Definite
11%
Convergence Property
11%
Quasi-Nonexpansive Mapping
10%
Min-Max
10%
Fixed-Point Set
10%
Training Data
10%
Symmetric Matrix
9%
Real Hilbert Space
9%
Fixed Point Theory
9%
Edge
8%
Biorthogonal Wavelet
8%
Estimation Approach
8%
Least Square Estimation
8%
Wide Sense
8%
Stochastic Approximation Algorithm
8%
Differentiability
8%
Synthetic Data
8%
Clustered Data
8%
Real Vector
8%
Sense Stationary Process
8%
Manifold
8%
Generality
8%
Toeplitz Matrix
8%
Covariance Matrix
8%
Correlation Matrix
8%
Dimensional Vector
8%
Linear Dependence
8%
Infinite Number
8%
Constrains
8%
Projection Operator
8%
Lasso Regression
8%
Equivalent Sequence
8%
Dependent Data
8%
Strong Convergence
8%
Priori Information
7%
Euclidean Space
6%
Vector Error
6%
Loss Function
6%
Optimality
6%
Noise Information
5%
Feasible Set
5%
Robust Estimation
5%