Konstantin Usevich
Orcid: 0000-0002-1154-5909
According to our database1,
Konstantin Usevich
authored at least 60 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
The Barycenter in Free Nilpotent Lie Groups and Its Application to Iterated-Integrals Signatures.
SIAM J. Appl. Algebra Geom., 2024
CoRR, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices.
SIAM J. Matrix Anal. Appl., June, 2023
Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
Probability Mass Function Estimation Approaches with Application to Flow Cytometry Data Analysis.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Constrained Cramér-Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions.
Signal Process., 2022
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image.
SIAM J. Imaging Sci., 2022
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review.
CoRR, 2022
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022
2021
SIAM J. Matrix Anal. Appl., 2021
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE J. Sel. Top. Signal Process., 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms.
IEEE Trans. Signal Process., 2020
Approximate Matrix and Tensor Diagonalization by Unitary Transformations: Convergence of Jacobi-Type Algorithms.
SIAM J. Optim., 2020
J. Comput. Appl. Math., 2020
Gradient based block coordinate descent algorithms for joint approximate diagonalization of matrices.
CoRR, 2020
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis.
CoRR, 2019
Coupled Tensor Low-rank Multilinear Approximation for Hyperspectral Super-resolution.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Performance Bounds for Coupled CP Model in the Framework of Hyperspectral Super-Resolution.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
Globally Convergent Jacobi-Type Algorithms for Simultaneous Orthogonal Symmetric Tensor Diagonalization.
SIAM J. Matrix Anal. Appl., 2018
CoRR, 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
2017
Multidimensional ESPRIT for Damped and Undamped Signals: Algorithm, Computations, and Perturbation Analysis.
IEEE Trans. Signal Process., 2017
Theor. Comput. Sci., 2017
SIAM J. Appl. Algebra Geom., 2017
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
2016
IEEE J. Sel. Top. Signal Process., 2016
Proceedings of the 24th European Signal Processing Conference, 2016
Optimal choice of Hankel-block-Hankel matrix shape in 2-D parameter estimation: The rank-one case.
Proceedings of the 24th European Signal Processing Conference, 2016
2015
A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orders.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
2014
IEEE Trans. Signal Process., 2014
SIAM J. Matrix Anal. Appl., 2014
Variable projection for affinely structured low-rank approximation in weighted 2-norms.
J. Comput. Appl. Math., 2014
J. Comput. Appl. Math., 2014
Autom., 2014
Realization and identification of autonomous linear periodically time-varying systems.
Autom., 2014
Proceedings of the 13th European Control Conference, 2014
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014
2013
SIAM J. Matrix Anal. Appl., 2013
2012
Measuring Gene Expression Noise in Early Drosophila Embryos: Nucleus-to-nucleus Variability.
Proceedings of the International Conference on Computational Science, 2012
ACM Commun. Comput. Algebra, 2012
2011
Gene Expression Noise in Spatial Patterning: <i>hunchback</i> Promoter Structure Affects Noise Amplitude and Distribution in <i>Drosophila</i> Segmentation.
PLoS Comput. Biol., 2011