Skip to Main content
Number of documents

40

Dr Konstantin USEVICH


Journal articles16 documents

  • Clémence Prévost, Ricardo Borsoi, Konstantin Usevich, David Brie, José C. M. Bermudez, et al.. Hyperspectral super-resolution accounting for spectral variability: coupled tensor LL1-based recovery and blind unmixing of the unknown super-resolution image. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2022, 15 (1), ⟨10.1137/21M1409354⟩. ⟨hal-03158076v2⟩
  • Simon Barthelme, Konstantin Usevich. Spectral properties of kernel matrices in the flat limit. SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics, 2021, 42 (1), pp.17-57. ⟨10.1137/19M129677X⟩. ⟨hal-03017947⟩
  • Ricardo Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José Bermudez, et al.. Coupled tensor decomposition for hyper spectral and multispectral image fusion with inter-image variability. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2021, 15 (3), pp.702-717. ⟨10.1109/JSTSP.2021.3054338⟩. ⟨hal-03106874⟩
  • Konstantin Usevich, Jianze Li, Pierre Comon. Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms. SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2020, 30 (4), pp.2998-3028. ⟨10.1137/19M125950X⟩. ⟨hal-01998900v4⟩
  • Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie. Hyperspectral super-resolution with coupled Tucker approximation: Recoverability and SVD-based algorithms. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2020, 68, pp.931-946. ⟨10.1109/TSP.2020.2965305⟩. ⟨hal-01911969v4⟩
  • Konstantin Usevich, Philippe Dreesen, Mariya Ishteva. Decoupling multivariate polynomials: Interconnections between tensorizations. Journal of Computational and Applied Mathematics, Elsevier, 2020, 363, pp.22-34. ⟨10.1016/j.cam.2019.03.036⟩. ⟨hal-02994705⟩
  • Jianze Li, Konstantin Usevich, Pierre Comon. On approximate diagonalization of third order symmetric tensors by orthogonal transformations. Linear Algebra and its Applications, Elsevier, 2019, 576, pp.324-351. ⟨10.1016/j.laa.2019.03.006⟩. ⟨hal-02092389⟩
  • Jonathan Gillard, Konstantin Usevich. Structured low-rank matrix completion for forecasting in time series analysis. International Journal of Forecasting, Elsevier, 2018, 34 (4), pp.582-597. ⟨10.1016/j.ijforecast.2018.03.008⟩. ⟨hal-01983158⟩
  • Jianze Li, Konstantin Usevich, Pierre Comon. Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization. SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics, 2018, 39 (1), pp.1-22. ⟨10.1137/17M1116295⟩. ⟨hal-01628257⟩
  • Pierre Comon, Yang Qi, Konstantin Usevich. Identifiability of an X-Rank Decomposition of Polynomial Maps. SIAM Journal on Applied Algebra and Geometry, Society for Industrial and Applied Mathematics 2017, 1 (1), pp.388-414. ⟨10.1137/16M1108388⟩. ⟨hal-01763858⟩
  • Konstantin Usevich, Ivan Markovsky. Variable projection methods for approximate (greatest) common divisor computations. Theoretical Computer Science, Elsevier, 2017, 681, pp.176-198. ⟨10.1016/j.tcs.2017.03.028⟩. ⟨hal-01226429⟩
  • Souleymen Sahnoun, Konstantin Usevich, Pierre Comon. Multidimensional ESPRIT for Damped and Undamped Signals: Algorithm, Computations, and Perturbation Analysis. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (22), pp. 5897-5910. ⟨10.1109/TSP.2017.2736512⟩. ⟨hal-01360438v3⟩
  • Konstantin Usevich, Pierre Comon. Hankel low-rank matrix completion: performance of the nuclear norm relaxation. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2016, 10 (4), pp.637-646. ⟨10.1109/JSTSP.2016.2535182⟩. ⟨hal-01130631v3⟩
  • Konstantin Usevich, Ivan Markovsky. Adjusted least squares fitting of algebraic hypersurfaces. Linear Algebra and its Applications, Elsevier, 2015, 502, pp.243-274. ⟨10.1016/j.laa.2015.07.023⟩. ⟨hal-01093214⟩
  • Nina Golyandina, Anton Korobeynikov, Alex Shlemov, Konstantin Usevich. Multivariate and 2D Extensions of Singular Spectrum Analysis with the Rssa Package. Journal of Statistical Software, University of California, Los Angeles, 2014, pp.41. ⟨hal-01066695⟩
  • Stephan Rhode, Konstantin Usevich, Ivan Markovsky, Frank Gauterin. A Recursive Restricted Total Least-squares Algorithm. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2014, 62 (21), pp.5652-5662. ⟨10.1109/TSP.2014.2350959⟩. ⟨hal-01067938⟩

Conference papers17 documents

  • Yassine Zniyed, Konstantin Usevich, Sebastian Miron, David Brie. Learning nonlinearities in the decoupling problem with structured CPD. 19th IFAC Symposium on System Identification, SYSID 2021, Jul 2021, Padova (virtual), Italy. ⟨hal-03223831⟩
  • Konstantin Usevich, Philippe Dreesen, Mariya Ishteva. Low-rank tensor recovery for Jacobian-based Volterra identification of parallel Wiener-Hammerstein systems. 19th IFAC Symposium on System Identification, SYSID 2021, Jul 2021, Padova (virtual), Italy. ⟨hal-03349340⟩
  • Yassine Zniyed, Konstantin Usevich, Sebastian Miron, David Brie. Tensor-based approach for training flexible neural networks. 55th Asilomar Conference on Signals, Systems and Computers, Oct 2021, Pacific Grove, CA, United States. ⟨hal-03518648⟩
  • Jianze Li, Konstantin Usevich, Pierre Comon. On the convergence of Jacobi-type algorithms for Independent Component Analysis. 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020, Jun 2020, Hangzhou (virtual), China. ⟨10.1109/SAM48682.2020.9104331⟩. ⟨hal-02994725⟩
  • Clémence Prévost, Eric Chaumette, Konstantin Usevich, David Brie, Pierre Comon. On Cramér-Rao lower bounds with random equality constraints. ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelone (virtual), Spain. ⟨10.1109/ICASSP40776.2020.9054031⟩. ⟨hal-02486600⟩
  • Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie. Approches tensorielles couplées pour la fusion aveugle d'images multispectrale et hyperspectrale. XXVIIème Colloque francophone de traitement du signal et des images, GRETSI 2019, Aug 2019, Lille, France. ⟨hal-02282433⟩
  • Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie. Coupled tensor low-rank multilinear approximation for hyperspectral super-resolution. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, May 2019, Brighton, United Kingdom. ⟨10.1109/ICASSP.2019.8683619⟩. ⟨hal-02025385⟩
  • Clémence Prevost, Konstantin Usevich, Pierre Comon, Martin Haardt, David Brie. Performance bounds for coupled CP model in the framework of hyperspectral super-resolution. 8th IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019, Dec 2019, Le Gosier, Guadeloupe, France. ⟨10.1109/CAMSAP45676.2019.9022504⟩. ⟨hal-02303132v2⟩
  • Konstantin Usevich, Ivan Markovsky. Software package for mosaic-Hankel structured low-rank approximation. 58th IEEE Conference on Decision and Control, CDC 2019, Dec 2019, Nice, France. pp.7165-7170. ⟨hal-02402026⟩
  • Konstantin Usevich, Valentin Emiya, David Brie, Caroline Chaux. Characterization of finite signals with low-rank STFT. IEEE Statistical Signal Processing Workshop, SSP 2018, Jun 2018, Freiburg, Germany. ⟨10.1109/SSP.2018.8450745⟩. ⟨hal-01717931v2⟩
  • Jonathan Gillard, Konstantin Usevich. Convex optimization for matrix completion with application to forecasting. 14th International Global Optimization Workshop, LeGO 2018, Sep 2018, Leiden, Netherlands. pp.020042, ⟨10.1063/1.5090009⟩. ⟨hal-02402057⟩
  • Konstantin Usevich, Souleymen Sahnoun, Pierre Comon. High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation?. LVA/ICA 2017 - 13th International Conference on Latent Variable Analysis and Signal Separation, Feb 2017, Grenoble, France. pp.47-56, ⟨10.1007/978-3-319-53547-0_5⟩. ⟨hal-01576895⟩
  • Miguel Angel Veganzones, Jérémy Cohen, Rodrigo Cabral Farias, Konstantin Usevich, Lucas Drumetz, et al.. Canonical polyadic decomposition of hyperspectral patch tensors. EUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.2176-2180, ⟨10.1109/EUSIPCO.2016.7760634⟩. ⟨hal-01382362⟩
  • Souleymen Sahnoun, Konstantin Usevich, Pierre Comon. Optimal choice of Hankel-block-Hankel matrix shape in 2-D parameter estimation: the rank-one case. EUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. ⟨hal-01288994v2⟩
  • Pierre Comon, Yang Qi, Konstantin Usevich. A polynomial formulation for joint decomposition of symmetric tensors of different orders. LVA/ICA 2015 - 12th International Conference on Latent Variable Analysis and Signal Separation, Aug 2015, Liberec, Czech Republic. pp.8. ⟨hal-01168992⟩
  • Konstantin Usevich, Pierre Comon. Structured Matrix Completion: a Convex Relaxation. GRETSI 2015 - XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France. pp.4. ⟨hal-01168981⟩
  • Konstantin Usevich, Ivan Markovsky. Adjusted least squares estimator for algebraic hypersurface fitting. SLA 2014 - 6th Conference on Structured Numerical Linear and Multilinear Algebra: Analysis, Algorithms and Applications, Sep 2014, Kalamata, Greece. ⟨hal-01066930⟩

Preprints, Working Papers, ...6 documents

  • Julien Flamant, Konstantin Usevich, Marianne Clausel, David Brie. Polarimetric phase retrieval : uniqueness and algorithms. 2022. ⟨hal-03613352⟩
  • Yassine Zniyed, Konstantin Usevich, Sebastian Miron, David Brie. Tensor-based framework for training flexible neural networks. 2021. ⟨hal-03273321⟩
  • Clémence Prévost, Konstantin Usevich, Eric Chaumette, David Brie, Pierre Comon. On the efficiency of blind and non-blind estimation for coupled LL1 tensor models using the randomly-constrained Cramér-Rao bound. 2021. ⟨hal-03504402⟩
  • Clémence Prévost, Konstantin Usevich, Martin Haardt, Pierre Comon, David Brie. Constrained Cramér-Rao lower bounds for CP-based hyperspectral super-resolution. 2020. ⟨hal-03083709⟩
  • Simon Barthelme, Nicolas Tremblay, Konstantin Usevich, Pierre-Olivier Amblard. Determinantal Point Processes in the Flat Limit: Extended L-ensembles, Partial-Projection DPPs and Universality Classes. 2020. ⟨hal-03012027⟩
  • Jianze Li, Konstantin Usevich, Pierre Comon. Gradient based block coordinate descent algorithms for joint approximate diagonalization of matrices. 2020. ⟨hal-03408912⟩

Reports1 document

  • Jérémy Cohen, Konstantin Usevich, Pierre Comon. A Tour of Constrained Tensor Canonical Polyadic Decomposition. [Research Report] GIPSA-lab. 2016. ⟨hal-01311795⟩