Ricardo D. Fierro, et al.  Home/Search
Context
Related
| utk.edu/~berry/paper...FBprocchap.ps.gz Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: utk.edu/~lsi/papers/index (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: Recently, a nonlinear generalization of the singular value decomposition (SVD), called the Riemannian-SVD (R-SVD), for solving full rank total least squares problems was extended to low rank matrices within the context of latent semantic indexing (LSI) in information retrieval. This new approach, called RSVD-LSI, is based on the full SVD of an m n term-by-document matrix A and requires the dense mm left singular matrix U and the nn right singular matrix V . Here, m corresponds to the size of ... (Update)
Active bibliography (related documents): More All
0.5: A projection interpretation of the structured Total Least .. - Lemmerling, Van Huffel (Correct)
0.5: Parallel Wavefront Algorithms Solving Lyapunov Equations for .. - Claver, Hernandez (1997) (Correct)
0.3: On The Low-Rank Approximation Of Data On The Unit Sphere - Chu Del Buono (Correct)
Similar documents based on text: More All
0.5: Low-Rank Orthogonal Decompositions for Information Retrieval.. - Berry, Fierro (1996) (Correct)
0.4: Regularization By Truncated Total Least Squares - Fierro, Golub, HANSEN, O'LEARY (1993) (Correct)
0.3: UTV Tools - Matlab Templates for Rank-Revealing UTV.. - Fierro, Hansen, Hansen (1999) (Correct)
BibTeX entry: (Update)
@misc{ fierro-efficient,
author = "Ricardo D. Fierro and et al.",
title = "Efficient Computation of the Riemannian SVD in Total Least Squares Problems
in Information Retrieval",
url = "citeseer.ist.psu.edu/616187.html" }
Citations (may not include all citations):2441 John Hopkins University Press (context) - Golub, Loan - 1996
1256 Introduction to Modern Information Retrieval (context) - Salton, McGill - 1983
568 Indexing by Latent Semantic Analysis - Deerwester, Dumais et al. - 1990
372 Modern Information Retrieval - Baeza-Yates, Ribeiro-Neto - 1999
192 Using Linear Algebra for Intelligent Information Retrieval - Berry, Dumais et al. - 1995
45 The SMART Retrieval System (context) - Salton - 1971
37 and Information Retrieval (context) - Berry, Drma et al. - 1999
18 Understanding Search Engines: Mathematical Modeling and Text.. (context) - Berry, Browne - 1999
18 Low-rank Orthogonal Decompositions for Information Retrieval.. - Berry, Fierro - 1996
13 Structured Total Least Squares and L2 Approximation Problems (context) - De Moor - 1993
7 Fundamental Linear Algebra Computations on HighPerformance C.. (context) - Bischof - 1990
5 Perturbation Analysis for Two-Sided (context) - Fierro - 1996
3 Lower Dimensional Representation of Text Data in Vector Spac.. (context) - Park, Jeon et al. - 2001
2 The WY Representation for Products of Householder Matrices (context) - Bischo, Van Loan - 1987
2 Information Retrieval and Filtering Using the Riemannian SVD (context) - Jiang - 1998
1 Solving Total Least Squares Problems in Information Retrieva.. (context) - Jiang, Berry - 2000
1 Taking a New Look at the Latent Semantic Analysis Approach t.. (context) - Jessup, Martin - 2001
1 Improving the Retrieval from External Sources (context) - Dumais - 1991
1 and Implicit De ation for Fast and Reliable Dominant Singula.. (context) - Fierro, Householder - 2001
Documents on the same site (http://www.cs.utk.edu/~lsi/papers/index.html): More
Using Latent Semantic Indexing for Data Mining - Jiang (1997) (Correct)
Toward Large-Scale Information Retrieval Using Latent Semantic.. - Letsche (1996) (Correct)
SVDPACKC (Version 1.0) User's Guide - Berry, Do, Krishna, Varadhan (1993) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC