Researcher
Mariya Kamenova Ishteva
- Keywords:Information and communication technology
Affiliations
- Electricity (Department)
Member
From1 Jan 2013 → Today
Projects
1 - 3 of 3 results
- Block-oriented nonlinear identification using Volterra seriesFrom1 Jan 2017 → TodayFunding: FWO research project
- Decoupling multivariate polynomials in nonlinear system identificationFrom1 Jan 2015 → 31 Dec 2018Funding: FWO research project
- Structured tensor low-multilinear rank approximationFrom1 Jan 2014 → 31 Dec 2014Funding: FWO fellowships
Publications
1 - 10 of 30 results
- Decoupling Multivariate Functions Using Second-Order Information and Tensors(2018)Book: Latent Variable Analysis and Signal Separation - 14th International Conference, LVA/ICA 2018, ProceedingsVolume: 10891
Authors: Philippe Dreesen, Jeroen De Geeter, Mariya Kamenova Ishteva
Pages: 79-88Number of pages: 10 - Approximate decoupling of multivariate polynomials using weighted tensor decomposition(2018)Journal: Linear Algebra & its ApplicationsISSN: 0024-3795Issue: 2Volume: 25
Authors: Gabriel Hollander, Philippe Dreesen, Mariya Kamenova Ishteva, Joannes Schoukens
Number of pages: 20 - NONLINEAR SYSTEM IDENTIFICATION: FINDING STRUCTURE IN NONLINEAR BLACK-BOX MODELS(2017)Book: 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Authors: Philippe Dreesen, Koen Tiels, Mariya Kamenova Ishteva, Joannes Schoukens
Pages: 443-446 - Tensor Factorization based Estimates of Parallel Wiener-Hammerstein Models(2017)Book: IFAC International World CongressEdition: 1Series: IFAC-PapersOnLineVolume: 50
Authors: David Westwick, Mariya Kamenova Ishteva, Philippe Dreesen, Joannes Schoukens
Pages: 9468-9473Number of pages: 6 - An initialization method for nonlinear model reduction using the CP decomposition(2017)Book: Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, ProceedingsSeries: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Authors: Gabriel Hollander, Philippe Dreesen, Mariya Kamenova Ishteva, Joannes Schoukens
Pages: 111-120Number of pages: 10 - Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels(2017)Book: 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA)
Authors: Philippe Dreesen, David Westwick, Joannes Schoukens, Mariya Kamenova Ishteva
Pages: 16-25 - Parallel Wiener-Hammerstein Identification: A case study(2016)Book: 2016 Leuven Conference on Noise and Vibration Engineering
Authors: Gabriel Hollander, Philippe Dreesen, Mariya Kamenova Ishteva, Joannes Schoukens
Pages: 2647- 2656 - A Tensor-Based Extension for the Multi-Line TRL Calibration(2016)Journal: IEEE Transactions on Microwave Theory and TechniquesISSN: 0018-9480Issue: 7Volume: 64
Authors: Yves Rolain, Mariya Kamenova Ishteva, Evi Van Nechel, Francesco Ferranti
Pages: 2121-2128 - Bounded matrix low rank approximation(2016)Book: Non-negative Matrix Factorization Techniques
Authors: Ramakrishnan Kannan, Mariya Kamenova Ishteva, B. Drake, Haesun Park
Pages: 89-118Number of pages: 30 - Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra(2015)Book: 17th IFAC Symposium on System Identification (SYSID 2015), Beijing, China, October 19-21, 2015Series: IFAC-PapersOnline
Authors: Philippe Dreesen, Mariya Kamenova Ishteva, Joannes Schoukens
Pages: 951-956