Lars Eldén

32 papers C 1Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Multiway Spectral Graph Partitioning: Cut Functions, Cheeger Inequalities, and a Simple Algorithm.
SIAM J. Matrix Anal. Appl.
Lars Eldén
2023 J jnl
Multiway Spectral Graph Partitioning: Cut Functions, Cheeger Inequalities, and a Simple Algorithm.
CoRR
Lars Eldén
2022 J jnl
A Krylov-Schur-like method for computing the best rank-(r
Numer. Algorithms
Lars Eldén, Maryam Dehghan
2022 J jnl
Spectral partitioning of large and sparse 3-tensors using low-rank tensor approximation.
Numer. Linear Algebra Appl.
Lars Eldén, Maryam Dehghan
2020 J jnl
A Krylov-Schur like method for computing the best rank-(r
CoRR
Lars Eldén, Maryam Dehghan
2020 J jnl
Analyzing Large and Sparse Tensor Data using Spectral Low-Rank Approximation.
CoRR
Lars Eldén, Maryam Dehghan
2020 J jnl
Spectral Partitioning of Large and Sparse Tensors using Low-Rank Tensor Approximation.
CoRR
Lars Eldén, Maryam Dehghan
2019 J jnl
Solving bilinear tensor least squares problems and application to Hammerstein identification.
Numer. Linear Algebra Appl.
Lars Eldén, Salman Ahmadi-Asl
2014 J jnl
Best Kronecker Product Approximation of The Blurring Operator in Three Dimensional Image Restoration Problems.
SIAM J. Matrix Anal. Appl.
Mansoor Rezghi, Seyed Mohammad Hosseini, Lars Eldén
2014 J jnl
Solving an Ill-Posed Cauchy Problem for a Two-Dimensional Parabolic PDE with Variable Coefficients Using a Preconditioned GMRES Method.
SIAM J. Sci. Comput.
Zohreh Ranjbar, Lars Eldén
2013 J jnl
Computing Semantic Clusters by Semantic Mirroring and Spectral Graph Partitioning.
Math. Comput. Sci.
Lars Eldén, Magnus Merkel, Lars Ahrenberg, Martin Fagerlund
2012 J jnl
Solving Ill-Posed Linear Systems with GMRES and a Singular Preconditioner.
SIAM J. Matrix Anal. Appl.
Lars Eldén, Valeria Simoncini
2011 J jnl
Data Mining, Networks and Dynamics (Dagstuhl Seminar 11451).
Dagstuhl Reports
Lars Eldén, Andreas Frommer
2011 J jnl
Perturbation Theory and Optimality Conditions for the Best Multilinear Rank Approximation of a Tensor.
SIAM J. Matrix Anal. Appl.
Lars Eldén, Berkant Savas
2010 J jnl
3rd Special issue on matrix computations and statistics.
Comput. Stat. Data Anal.
Jesse L. Barlow, Lars Eldén, Paolo Foschi
2010 — conf
Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning.
TextGraphs@ACL
Martin Fagerlund, Magnus Merkel, Lars Eldén, Lars Ahrenberg
2009 J jnl
A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r
SIAM J. Matrix Anal. Appl.
Lars Eldén, Berkant Savas
2007 J jnl
Handwritten digit classification using higher order singular value decomposition.
Pattern Recognit.
Berkant Savas, Lars Eldén
2007 — book
Matrix methods in data mining and pattern recognition.
Lars Eldén
2007 C conf
Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares.
BIBE
Hyunsoo Kim, Haesun Park, Lars Eldén
2005 J jnl
The maximum likelihood estimate in reduced-rank regression.
Numer. Linear Algebra Appl.
Lars Eldén, Berkant Savas
2004 J jnl
Partial least-squares vs. Lanczos bidiagonalization - I: analysis of a projection method for multiple regression.
Comput. Stat. Data Anal.
Lars Eldén
2002 J jnl
Adaptive Eigenvalue Computations Using Newton's Method on the Grassmann Manifold.
SIAM J. Matrix Anal. Appl.
Eva Lundström, Lars Eldén
2000 J jnl
Schur-Type Methods for Solving Least Squares Problems with Toeplitz Structure.
SIAM J. Sci. Comput.
Haesun Park, Lars Eldén
2000 J jnl
Wavelet and Fourier Methods for Solving the Sideways Heat Equation.
SIAM J. Sci. Comput.
Lars Eldén, Fredrik Berntsson, Teresa Reginska
1999 J jnl
A Procrustes problem on the Stiefel manifold.
Numerische Mathematik
Lars Eldén, Haesun Park
1998 J jnl
Approximating minimum norm solutions of rank-deficient least squares problems.
Numer. Linear Algebra Appl.
Achiya Dax, Lars Eldén
1996 J jnl
Fast computation of the principal singular vectors of Toeplitz matrices arising in exponential data modelling.
Signal Process.
Lars Eldén, Eva Sjöström
1995 J jnl
Downdating the Rank-Revealing URV Decomposition.
SIAM J. Matrix Anal. Appl.
Haesun Park, Lars Eldén
1994 J jnl
Accurate Downdating of Least Squares Solutions.
SIAM J. Matrix Anal. Appl.
Åke Björck, Haesun Park, Lars Eldén
1994 J jnl
Block Downdating of Least Squares Solutions.
SIAM J. Matrix Anal. Appl.
Lars Eldén, Haesun Park
1994 — conf
Fast algorithms for exponential data modeling.
ICASSP (4)
Haesun Park, Sabine Van Huffel, Lars Eldén