Multivariate and 2D Extensions of Singular Spectrum Analysis with the Rssa Package N Golyandina, A Korobeynikov, A Shlemov, K Usevich Journal of Statistical Software 67, 1-78, 2015 | 157 | 2015 |
Structured low-rank approximation with missing data I Markovsky, K Usevich SIAM Journal on Matrix Analysis and Applications, 2013 | 92 | 2013 |
Software for weighted structured low-rank approximation I Markovsky, K Usevich Journal of Computational and Applied Mathematics, 2014 | 87 | 2014 |
2D-extension of Singular Spectrum Analysis: algorithm and elements of theory NE Golyandina, KD Usevich Matrix Methods: Theory, Algorithms, Applications World Scientific, 449-473, 2010 | 86 | 2010 |
Gene expression noise in spatial patterning: hunchback promoter structure affects noise amplitude and distribution in Drosophila segmentation DM Holloway, FJP Lopes, L da Fontoura Costa, BAN Travençolo, ... PLoS computational biology 7 (2), e1001069, 2011 | 80 | 2011 |
Hyperspectral super-resolution with coupled Tucker approximation: Recoverability and SVD-based algorithms C Prévost, K Usevich, P Comon, D Brie IEEE Transactions on Signal Processing 68, 931-946, 2020 | 74 | 2020 |
multidimensional ESPRIT for damped and undamped signals: algorithm, computations, and perturbation analysis S Sahnoun, K Usevich, P Comon IEEE Transactions on Signal Processing 65 (22), 5897-5910, 2017 | 69 | 2017 |
Variable projection for affinely structured low-rank approximation in weighted 2-norms K Usevich, I Markovsky Journal of Computational and Applied Mathematics, 2013 | 64 | 2013 |
Filtering of digital terrain models by 2D Singular Spectrum Analysis N Golyandina, I Florinsky, K Usevich International Journal of Ecology & Development 8 (F07), 81-94, 2007 | 58 | 2007 |
A Recursive Restricted Total Least-squares Algorithm S Rhode, K Usevich, I Markovsky, F Gauterin IEEE Transactions on Signal Processing 62 (21), 5652-5662, 2014 | 54 | 2014 |
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability RA Borsoi, C Prévost, K Usevich, D Brie, JCM Bermudez, C Richard IEEE Journal of Selected Topics in Signal Processing 15 (3), 702-717, 2021 | 51 | 2021 |
Optimization on a Grassmann manifold with application to system identification K Usevich, I Markovsky Automatica 50 (6), 1656-1662, 2014 | 41 | 2014 |
Factorization Approach to Structured Low-Rank Approximation with Applications M Ishteva, K Usevich, I Markovsky SIAM Journal on Matrix Analysis and Applications 35 (3), 1180-1204, 2014 | 39 | 2014 |
Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization J Li, K Usevich, P Comon SIAM Journal on Matrix Analysis and Applications 39 (1), 1-22, 2018 | 33 | 2018 |
Hankel low-rank matrix completion: performance of the nuclear norm relaxation K Usevich, P Comon IEEE Journal of Selected Topics in Signal Processing 10 (4), 637-646, 2016 | 30 | 2016 |
Variable projection methods for approximate (greatest) common divisor computations K Usevich, I Markovsky Theoretical Computer Science 681, 176-198, 2017 | 29* | 2017 |
Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms K Usevich, J Li, P Comon SIAM Journal on Optimization 30 (4), 2998-3028, 2020 | 27 | 2020 |
Structured low-rank matrix completion for forecasting in time series analysis J Gillard, K Usevich International Journal of Forecasting 34 (4), 582-597, 2018 | 27 | 2018 |
On signal and extraneous roots in Singular Spectrum Analysis K Usevich Statistics and Its Interface 3 (3), 281--295, 2010 | 27 | 2010 |
Identifiability of an X-rank decomposition of polynomial maps P Comon, Y Qi, K Usevich SIAM Journal on Applied Algebra and Geometry 1 (1), 388-414, 2017 | 23* | 2017 |