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Power iteration

Known as: Power method 
In mathematics, the power iteration is an eigenvalue algorithm: given a matrix , the algorithm will produce a number , which is the greatest (in… 
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Related topics

Related topics

19 relations
Arnoldi iterationCentralityComputational physicsComputational problem

Broader (1)

Numerical linear algebra

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Nonconvex Phase Synchronization
We estimate $n$ phases (angles) from noisy pairwise relative phase measurements. The task is modeled as a nonconvex least-squares… 
Highly Cited
2014
Highly Cited
2014
Non-convex Robust PCA
We propose a new provable method for robust PCA, where the task is to recover a low-rank matrix, which is corrupted with sparse… 
Highly Cited
2011
Highly Cited
2011
Strictly nonnegative tensors and nonnegative tensor partition
We introduce a new class of nonnegative tensors-strictly nonnegative tensors. A weakly irreducible nonnegative tensor is a… 
Highly Cited
2010
Highly Cited
2010
Power Iteration Clustering
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low… 
Highly Cited
2009
Highly Cited
2009
A tensor-based algorithm for high-order graph matching
This paper addresses the problem of establishing correspondences between two sets of visual features using higher-order… 
Highly Cited
2009
Highly Cited
2009
Statistical Simulation: Power Method Polynomials and Other Transformations
Introduction The Power Method Transformation Univariate Theory Third-Order Systems Fifth-Order Systems Mathematica(R) Functions… 
Highly Cited
2008
Highly Cited
2008
Joint learning and dictionary construction for pattern recognition
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative… 
Highly Cited
2003
Highly Cited
2003
Learning Spectral Clustering
Spectral clustering refers to a class of techniques which rely on the eigen-structure of a similarity matrix to partition points… 
Highly Cited
2003
Highly Cited
2003
Partial Least Squares (PLS) Regression.
Pls regression is a recent technique that generalizes and combines features from principal component analysis and multiple… 
Highly Cited
1999
Highly Cited
1999
A Stable Numerical Method for Inverting Shape from Moments
We derive a stable technique, based upon matrix pencils, for the reconstruction of (or approximation by) polygonal shapes from… 
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