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Mikus Grasis
Mikus Grasis
在 tu-ilmenau.de 的电子邮件经过验证
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A multiple-expert framework for instrument recognition
M Grasis, J Abeßer, C Dittmar, H Lukashevich
Sound, Music, and Motion: 10th International Symposium, CMMR 2013, Marseille …, 2014
82014
Efficient probability mass function estimation from partially observed data
JK Chege, MJ Grasis, A Manina, A Yeredor, M Haardt
2022 56th Asilomar Conference on Signals, Systems, and Computers, 256-262, 2022
32022
Coupled CP Decomposition of EEG and MEG Magnetometer and Gradiometer Measurements via the Coupled SECSI Framework
A Manina, M Grasis, L Khamidullina, A Korobkov, J Haueisen, M Haardt
2021 55th Asilomar Conference on Signals, Systems, and Computers, 1661-1667, 2021
22021
Coupled Matrix Tensor Factorization via a Semi-Algebraic Solution Based on Simultaneous Matrix Diagonalization (SECSI-CMTF)
A Manina, MJ Grasis, ALF De Almeida, M Haardt
2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023
2023
Bayesian Estimation of a Probability Mass Function Tensor with Automatic Rank Detection
JK Chege, MJ Grasis, A Yeredor, M Haardt
2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023
2023
Analytical Performance Assessment of Tensor-ESPRIT-type Algorithms for Two Sources
M Grasis
Technische Universität Ilmenau, 2016
2016
A multiple-expert framework for instrument recognition
J Abeßer, C Dittmar, H Lukashevich, M Grasis
2014
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