2024
Multiway Spectral Graph Partitioning: Cut Functions, Cheeger Inequalities, and a Simple Algorithm.
SIAM J. Matrix Anal. Appl., March, 2024
2022
Spectral partitioning of large and sparse 3-tensors using low-rank tensor approximation.
Numer. Linear Algebra Appl., 2022
A Krylov-Schur-like method for computing the best rank-(r<sub>1</sub>, r<sub>2</sub>, r<sub>3</sub>) approximation of large and sparse tensors.
Numer. Algorithms, 2022
2020
Analyzing Large and Sparse Tensor Data using Spectral Low-Rank Approximation.
CoRR, 2020
Spectral Partitioning of Large and Sparse Tensors using Low-Rank Tensor Approximation.
CoRR, 2020
2019
Solving bilinear tensor least squares problems and application to Hammerstein identification.
Numer. Linear Algebra Appl., 2019
2014
Solving an Ill-Posed Cauchy Problem for a Two-Dimensional Parabolic PDE with Variable Coefficients Using a Preconditioned GMRES Method.
SIAM J. Sci. Comput., 2014
Best Kronecker Product Approximation of The Blurring Operator in Three Dimensional Image Restoration Problems.
SIAM J. Matrix Anal. Appl., 2014
2013
Computing Semantic Clusters by Semantic Mirroring and Spectral Graph Partitioning.
Math. Comput. Sci., 2013
2012
Solving Ill-Posed Linear Systems with GMRES and a Singular Preconditioner.
SIAM J. Matrix Anal. Appl., 2012
2011
Perturbation Theory and Optimality Conditions for the Best Multilinear Rank Approximation of a Tensor.
SIAM J. Matrix Anal. Appl., 2011
Data Mining, Networks and Dynamics (Dagstuhl Seminar 11451).
Dagstuhl Reports, 2011
2010
3rd Special issue on matrix computations and statistics.
Comput. Stat. Data Anal., 2010
Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning.
Proceedings of TextGraphs@ACL 2010 Workshop on Graph-based Methods for Natural Language Processing, 2010
2009
A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r<sub>1, </sub> r<sub>2, </sub> r<sub>3)</sub> Approximation of a Tensor.
SIAM J. Matrix Anal. Appl., 2009
2007
Handwritten digit classification using higher order singular value decomposition.
Pattern Recognit., 2007
Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
Matrix methods in data mining and pattern recognition.
Fundamentals of algorithms 4, SIAM, ISBN: 978-0-89871-626-9, 2007
2005
The maximum likelihood estimate in reduced-rank regression.
Numer. Linear Algebra Appl., 2005
2004
Partial least-squares vs. Lanczos bidiagonalization - I: analysis of a projection method for multiple regression.
Comput. Stat. Data Anal., 2004
2002
Adaptive Eigenvalue Computations Using Newton's Method on the Grassmann Manifold.
SIAM J. Matrix Anal. Appl., 2002
2000
Schur-Type Methods for Solving Least Squares Problems with Toeplitz Structure.
SIAM J. Sci. Comput., 2000
Wavelet and Fourier Methods for Solving the Sideways Heat Equation.
SIAM J. Sci. Comput., 2000
1999
A Procrustes problem on the Stiefel manifold.
Numerische Mathematik, 1999
1998
Approximating minimum norm solutions of rank-deficient least squares problems.
Numer. Linear Algebra Appl., 1998
1996
Fast computation of the principal singular vectors of Toeplitz matrices arising in exponential data modelling.
Signal Process., 1996
1995
Downdating the Rank-Revealing URV Decomposition.
SIAM J. Matrix Anal. Appl., 1995
1994
Block Downdating of Least Squares Solutions.
SIAM J. Matrix Anal. Appl., July, 1994
Accurate Downdating of Least Squares Solutions.
SIAM J. Matrix Anal. Appl., April, 1994
Fast algorithms for exponential data modeling.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994