 | 2011 |
|---|
| 7 |       | Lars Eldén,
Andreas Frommer:
Data Mining, Networks and Dynamics (Dagstuhl Seminar 11451).
Dagstuhl Reports 1(11): 23-38 (2011) |
| 6 | | Lars Eldén,
Berkant Savas:
Perturbation Theory and Optimality Conditions for the Best Multilinear Rank Approximation of a Tensor.
SIAM J. Matrix Analysis Applications 32(4): 1422-1450 (2011) |
| 2010 |
|---|
| 5 | | Jesse Barlow,
Lars Eldén,
Paolo Foschi:
3rd Special issue on matrix computations and statistics.
Computational Statistics & Data Analysis 54(12): 3379-3380 (2010) |
| 2009 |
|---|
| 4 | | Lars Eldén,
Berkant Savas:
A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r1, r2, r3) Approximation of a Tensor.
SIAM J. Matrix Analysis Applications 31(2): 248-271 (2009) |
| 2007 |
|---|
| 3 | | Hyunsoo Kim,
Haesun Park,
Lars Eldén:
Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares.
BIBE 2007: 1147-1151 |
| 2 | | Berkant Savas,
Lars Eldén:
Handwritten digit classification using higher order singular value decomposition.
Pattern Recognition 40(3): 993-1003 (2007) |
| 2004 |
|---|
| 1 | | Lars Eldén:
Partial least-squares vs. Lanczos bidiagonalization - I: analysis of a projection method for multiple regression.
Computational Statistics & Data Analysis 46(1): 11-31 (2004) |
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