Solving total least-squares problems in information retrieval

DOI10.1016/S0024-3795(00)00030-6zbMath0960.65043MaRDI QIDQ1587280

Michael W. Berry, Eric P. Jiang

Publication date: 17 May 2001

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

zbMATH Keywords

algorithmnumerical experimentsinformation retrievalinformation filteringlatent semantic indexingRiemannian singular value decomposition

Mathematics Subject Classification ID

Numerical solutions to overdetermined systems, pseudoinverses (65F20) Information storage and retrieval of data (68P20)

Related Items (1)

An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation

Uses Software

• svdpack
• VanHuffel
• Okapi

Cites Work

• Unnamed Item
• Unnamed Item
• Structured total least squares and \(L_ 2\) approximation problems
• The Restricted Singular Value Decomposition of Matrix Triplets
• SYMMETRIC GAUGE FUNCTIONS AND UNITARILY INVARIANT NORMS
• Using Linear Algebra for Intelligent Information Retrieval
• Total Least Norm Formulation and Solution for Structured Problems

This page was built for publication: Solving total least-squares problems in information retrieval