USEVICH
Konstantin
Post-doctorant CNRS
Publications


    Preprints

    • J. Li, K.Usevich and P. Comon. Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization. Submitted. [arXiv preprint].
    • S. Sahnoun, K. Usevich and P. Comon. Multidimensional ESPRIT: Algorithm, Computations and Perturbation Analysis. Submitted. [HAL preprint].
    • P. Comon, Y. Qi and K. Usevich. Identifiability of an X-rank decomposition of polynomial maps. Submitted. [arXiv preprint].

    Journal papers

    • K. Usevich and P. Comon (2016). Hankel low-rank matrix completion: performance of the nuclear norm relaxation. IEEE Journal of Selected Topics and Signal Processing. Accepted. [https://hal.archives-ouvertes.fr/hal-01130631].
    • K. Usevich and I. Markovsky (2015). Variable projection methods for approximate (greatest) common divisor computations. Theoretical Computer Science. Accepted. [arXiv preprint].
    • K. Usevich and I. Markovsky (2015). Adjusted least squares fitting of algebraic hypersurfaces. Linear Algebra and its Applications. Accepted. [doi:10.1016/j.laa.2015.07.023] [arXiv preprint].
    • N. Golyandina, A. Korobeynikov, A. Shlemov and K. Usevich (2015). Multivariate and 2D extensions of Singular Spectrum Analysis with the Rssa Package. Journal of Statistical Software. 67(2):1–78. [doi:10.18637/jss.v067.i02] [arXiv preprint].
    • M. Ishteva, K. Usevich and I. Markovsky (2014). Factorization Approach to Structured Low-Rank Approximation With Applications. SIAM Journal on Matrix Analysis and Applications. 35(3):1180–1204. [doi:10.1137/130931655] [arXiv preprint].
    • S. Rhode, K. Usevich, I. Markovsky and F. Gauterin (2014). A Recursive Restricted Total Least-squares Algorithm. IEEE Transactions on Signal Processing. Accepted. 62(21):5652–5662. [doi:10.1109/TSP.2014.2350959] [PDF file]
    • S. De Marchi and K. Usevich (2014). On certain multivariate Vandermonde determinants whose variables separate. Linear Algebra and Its Applications. 449:17–27. [doi:10.1016/j.laa.2014.01.034] [PDF file]
    • K. Usevich and I. Markovsky (2014). Variable projection methods for affinely structured low-rank approximation in weighted $2$-norms. Journal of Computational and Applied Mathematics. 272:430–448. [doi:10.1016/j.cam.2013.04.034] [PDF file]
    • I. Markovsky and K. Usevich (2014). Software for weighted structured low-rank approximation. Journal of Computational and Applied Mathematics. 256:278–292. [doi:10.1016/j.cam.2013.07.048] [PDF file]
    • K. Usevich and I. Markovsky (2014). Optimization on a Grassmann manifold with application to system identification. Automatica. 50(6):1656–1662. [doi:10.1016/j.automatica.2014.04.010] [PDF file]
    • I. Markovsky, J. Goos, K. Usevich and R. Pintelon (2014). Realization and identification of autonomous linear periodically time-varying systems. Automatica. 50(6):1632–1640. Available from http://homepages.vub.ac.be/~imarkovs/publications.html. [doi:10.1016/j.automatica.2014.04.003]
    • I. Markovsky and K. Usevich (2013). Structured low-rank approximation with missing data. SIAM Journal on Matrix Analysis and Applications. 34(2):814–830. [doi:10.1137/120883050] [PDF file]
    • D. M. Holloway, F. J. P. Lopes, L. da Fontoura Costa, B. A. N. Travençolo, N. Golyandina, K. Usevich and A. V. Spirov (2011). Gene Expression Noise in Spatial Patterning: hunchback Promoter Structure Affects Noise Amplitude and Distribution in Drosophila Segmentation. PLoS Computational Biology. 7(2):e1001069. [doi:10.1371/journal.pcbi.1001069]
    • K. Usevich (2010). On signal and extraneous roots in Singular Spectrum Analysis. Statistics and Its Interface. 3(3):281–295. [doi:10.4310/SII.2010.v3.n3.a3] [PDF file]
    • N. Golyandina, I. Florinsky and K. Usevich (2007). Filtering of digital terrain models by 2D Singular Spectrum Analysis. International Journal of Ecology & Development. 8(F07):81–94. [PDF file]

    Conference papers

    • S. Sahnoun, K. Usevich and P. Comon. (2016). Optimal choice of Hankel-block-Hankel matrix shape in 2-D parameter estimation. In 24th European Signal Processing Conference (EUSIPCO), 2016. [HAL preprint]
    • M. Veganzones, J. Cohen, R. Cabral Farias, K. Usevich, L. Drumetz, J. Chanussot and P. Comon. (2016). Canonical polyadic decomposition of hyperspectral patch tensors. In 24th European Signal Processing Conference (EUSIPCO), 2016.
    • P. Comon, Y. Qi and K. Usevich (2015). A polynomial formulation for joint decomposition of symmetric tensors of different orders. In E. Vincent, A. Yeredor, Z. Koldovský, and P. Tichavský, editors, Latent Variable Analysis and Signal Separation, volume 9237 of Lecture Notes in Computer Science, pages 22–30. Springer, 2015. [doi:10.1007/978-3-319-22482-4_3]
    • K. Usevich (2014). Decomposing multivariate polynomials with structured low-rank matrix completion. In 21st International Symposium on Mathematical Theory of Networks and Systems, July 7-11, 2014. Groningen, The Netherlands, pages 1826–1833. [PDF file]
    • A. Van Mulders, L. Vanbeylen and K. Usevich (2014). Identification of a block-structured model with several sources of nonlinearity. In Proceedings of the 14th European Control Conference (ECC 2014), pages 1717–1722. [doi:10.1109/ECC.2014.6862455] [PDF file]
    • N. E. Golyandina, D. M. Holloway, F. J. P. Lopes, A. V. Spirov, E. N. Spirova and K. D. Usevich (2012). Measuring gene expression noise in early Drosophila embryos: nucleus-to-nucleus variability. In Procedia Computer Science, pages 373–382. [doi:10.1016/j.procs.2012.04.040] [PDF file]
    • K. Usevich (2012). Improved initial approximation for errors-in-variables system identification. In Proceedings of 20th Mediterranean Conference on Control and Automation, pages 198–203. [doi:10.1109/MED.2012.6265638] [PDF file]
    • K. Usevich and I. Markovsky (2012). Structured low-rank approximation as a rational function minimization . In Proceedings of 16th IFAC Symposium on System Identification, pages 722–727. [doi:10.3182/20120711-3-BE-2027.00143] [PDF file]
    • N. Alexeyeva, A. Alexeyev, P. Gracheva, E. Podkhalyuzina and K. Usevich (2010). Symptom and syndrome analysis of categorial series, logical principles and forms of logic . In Proceedings of the 3rd International Conference on Biomedical Engineering and Informatics (BMEI), pages 2603–2606. [doi:10.1109/BMEI.2010.5639574] [PDF file]
    • N. Golyandina and K. Usevich (2009). An algebraic view on finite rank in 2D-SSA. In Proceedings of the 6th St. Petersburg Workshop on Simulation, pages 308–313. [PDF file]

    Book chapters

    • N. Golyandina and K. Usevich (2010). 2D-extension of Singular Spectrum Analysis: algorithm and elements of theory. In Matrix Methods: Theory, Algorithms and Applications, pages 449–474. [PDF file]

    Technical reports

    • K. Usevich (2011). Polynomial-exponential 2D data models, Hankel-block-Hankel matrices and zero-dimensional ideals. In International Conference on Polynomial Computer Algebra '2011, book of abstracts, pages 118–122. International Conference on Polynomial Computer Algebra '2011, book of abstracts. [PDF file]

    Theses

    • K. Usevich (2011). Singular spectrum analysis for temporal and spatial data processing. (in Russian) [PDF file]

    Departement : Images et Signal

    Team : Communication and Information in Complex Systems

    11 rue des mathématiques
    Domaine Universitaire
    BP 46
    38402 Saint Martin d'Hères cedex

    Office : D1119

    Mail : konstantin.usevich
    gipsa-lab.grenoble-inp.fr

    Tel : 04 76 57 45 75

    Fax : 33 (0)4 76 57 47 90

         

    Grenoble Images Parole Signal Automatique laboratoire

    UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal