Mathematics
Absolute Value
10%
Approximates
10%
Aspect-Ratio
21%
Bounded Variation Function
42%
Building Block
21%
Convergence Rate
28%
Covariance Matrix
7%
Data Point
10%
Data Streaming
10%
Decomposition Algorithms
21%
Dimensional Domain
21%
Distribution Law
10%
Eigenvector
21%
Equation System
21%
Error Correction
21%
Factorization
21%
Fast Algorithm
21%
Gaussian Distribution
49%
Good Property
7%
Gradient Flow
7%
Infinite-Dimensional Space
21%
Iterative Method
64%
Learning Task
14%
Least Square
53%
Lindenstrauss
21%
Linear System
100%
Matrix (Mathematics)
62%
Matrix Norm
21%
Numerical Experiment
28%
Operator Norm
28%
Parallel Factor Analysis
21%
Polynomial
7%
Probability Theory
7%
Quantile
64%
Random Matrix
49%
Rank Tensor
25%
Rate of Convergence
21%
Regular Graph
10%
Regularization
25%
Relaxation Method
7%
Residual Vector
10%
Robust Method
10%
Sample Covariance Matrix
7%
Signal Processing
10%
Singular Value Decomposition
21%
Solution Space
21%
Solving System
21%
Square Regression
21%
Square Solution
14%
Step Size
21%
Stochastics
40%
Submatrix
57%
Systems of Linear Equation
85%
Tensor
42%
True Solution
10%
Variance
17%
Keyphrases
AC Algorithm
10%
Adaptive Cross Approximation
10%
Adaptive Cross Approximation Algorithm
21%
Algorithm Analysis
21%
Almost Optimal
10%
Bernoulli Matrix
7%
Block Kaczmarz Method
21%
Bounded Variation Functions
42%
Class Function
21%
Coherent Topics
10%
Compressed Matrix
7%
Convergence of the Method
10%
Cori
7%
Correction Network
10%
Covariance Kernel
10%
CP Decomposition
8%
Cut Norm
10%
Dense Linear Algebra
7%
Distribution Law
10%
Document Clustering
7%
Eigenvector Delocalization
21%
Error Sensor
10%
Extremely Small Sample
7%
Fast Algorithm
21%
Finite Variance
10%
First Moment
10%
Fourier Measurements
10%
Fourier-based Model
10%
General H-matrices
7%
Global Problems
21%
Graph Uncertainty Principle
21%
H-matrix
21%
Heavy-tailed Random Matrices
7%
Hierarchically Semiseparable Matrix
7%
Imaging Network
10%
Infinite Dimension
21%
Infinite-dimensional Space
21%
Inner Correlation
10%
Irregular Structures
7%
Iterative Methods for Linear Systems
21%
Johnson-Lindenstrauss Embedding
21%
Kaczmarz Method
21%
Kernel Machines
10%
Knowledge Exploitation
21%
Large Linear Systems
10%
Large-scale Linear System
10%
Linear Algorithm
10%
Linear Solver
10%
Linear Systems
21%
Low-dimensional Structures
10%
Low-rank Decomposition
10%
Low-rank Tensor Recovery
21%
Lower Approximation
7%
Machine Learning Tasks
10%
Matrix Compression
7%
Matrix Format
21%
Matrix-vector Product
10%
Mean-variance
10%
Memory-based Algorithms
7%
Motzkin Method
10%
Noisy Linear Systems
7%
Non-negative Matrix Factorization
21%
Norm of Random Matrices
21%
Oblivious Subspace Embedding
8%
Operator Norm
21%
Optimal Order
10%
PARAFAC Decomposition
21%
Preconditioned Conjugate Gradient Method
10%
Projection Matrix
10%
Quantile Universal Threshold
7%
Random Matrices
21%
Random Projection
10%
Random Reshuffling
21%
Randomized Kaczmarz Method
10%
Rank-revealing Decomposition
10%
Rank-revealing Factorization
10%
Regularization Property
10%
Ridge Regression
10%
Second Moment
10%
Seed Words
7%
Sketch-and-project
32%
Small Fraction
10%
Smallest Singular Value
10%
Solving Systems of Linear Equations
21%
Sparse Corruptions
10%
Spiked Covariance Model
10%
Stochastic Algorithm
10%
Strong Separation
10%
Submatrices
21%
Subspace Constraints
10%
Subspace Embedding
21%
Supervision Information
7%
Temporal Topics
10%
Tensor Restricted Isometry Property
21%
Tensor Subspace
21%
Tucker Approximation
14%
Twitter Feeds
10%
Upper Approximation
7%
Vector Ranks
10%
Zero Mean
10%
Computer Science
Approximated Matrix
5%
Approximation (Algorithm)
26%
Approximation Algorithms
21%
Building-Blocks
10%
Computational Complexity
10%
Computational Efficiency
17%
Computer System
5%
Concurrency
5%
Convergence Rate
17%
Data Model
10%
Data Streaming
21%
Dimensional Subspace
10%
Distributed Memory
5%
Document Classification
7%
Document Clustering
7%
Efficient Implementation
21%
Eigenvector
21%
Embedding Method
10%
Experimental Result
7%
External Knowledge
21%
Kernel Ridge Regression
21%
Least Squares Method
42%
Linear Equation
32%
Linear Systems
53%
Matrix Factorization Model
7%
Memory Footprint
26%
Merge Operation
10%
nonnegative matrix factorization
21%
Numerical Complexity
21%
Parallel Computer
5%
Parallelism
5%
Preprocessing Step
7%
Preprocessing Technique
10%
Reconstruction Error
10%
Reconstruction Result
10%
Reduce Variance
21%
Regression Method
5%
Related Application
10%
Relaxation Method
7%
Residual Vector
7%
Shared Memories
5%
Singular Value
10%
Solution Method
10%
Solution Space
10%
Space Complexity
10%
Speed-up
28%
Square Solution
32%
Subsequent Iteration
21%
Supporting Evidence
21%
Topic Modeling
21%
Training Sample
5%
World Application
10%
