| Multivariate and 2D Extensions of Singular Spectrum Analysis with the Rssa Package N Golyandina, A Korobeynikov, A Shlemov, K Usevich arXiv preprint arXiv:1309.5050, 2013 | 331 | 2013 |
| Structured low-rank approximation with missing data I Markovsky, K Usevich SIAM Journal on Matrix Analysis and Applications, 2013 | 81 | 2013 |
| Software for weighted structured low-rank approximation I Markovsky, K Usevich Journal of Computational and Applied Mathematics, 2014 | 77 | 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 | 77 | 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 | 76 | 2011 |
| Variable projection for affinely structured low-rank approximation in weighted 2-norms K Usevich, I Markovsky Journal of Computational and Applied Mathematics, 2013 | 59* | 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 | 55 | 2007 |
| 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 | 48 | 2017 |
| Optimization on a Grassmann manifold with application to system identification K Usevich, I Markovsky Automatica 50 (6), 1656-1662, 2014 | 37 | 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 | 34 | 2014 |
| A Recursive Restricted Total Least-squares Algorithm S Rhode, K Usevich, I Markovsky, F Gauterin | 31* | |
| 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 | 26 | 2020 |
| On signal and extraneous roots in Singular Spectrum Analysis K Usevich Statistics and Its Interface 3 (3), 281--295, 2010 | 23 | 2010 |
| Variable projection methods for approximate (greatest) common divisor computations K Usevich, I Markovsky Theoretical Computer Science 681, 176-198, 2017 | 21* | 2017 |
| 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 | 20* | 2017 |
| 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 | 20 | 2016 |
| Identification of a block-structured model with several sources of nonlinearity A Van Mulders, L Vanbeylen, K Usevich 2014 European Control Conference (ECC), 1717-1722, 2014 | 20 | 2014 |
| Measuring Gene Expression Noise in Early <i>Drosophila</i> Embryos: Nucleus-to-nucleus Variability NE Golyandina, DM Holloway, FJP Lopes, AV Spirov, EN Spirova, ... Procedia computer science 9, 373-382, 2012 | 20 | 2012 |
| Structured low-rank approximation as a rational function minimization K Usevich, I Markovsky Proceedings of the 16th IFAC Symposium on System Identification, 722-727, 2012 | 19 | 2012 |
| 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 | 18 | 2018 |
Pierre ComonCNRSVerified email at gipsa-lab.fr
