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Urszula Libal
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2020 – today
- 2024
- [j5]Urszula Libal, Pawel Biernacki:
Non-Intrusive System for Honeybee Recognition Based on Audio Signals and Maximum Likelihood Classification by Autoencoder. Sensors 24(16): 5389 (2024) - 2020
- [c6]Urszula Libal, John S. Baras, Karl Henrik Johansson:
Dimensionality Reduction of Volterra Kernels by Tensor Decomposition using Higher-Order SVD. CDC 2020: 5935-5941
2010 – 2019
- 2018
- [j4]Urszula Libal, Lukasz Loziuk:
Comparison of Keypoint Detection Methods for Indoor and Outdoor Scene Recognition. J. Autom. Mob. Robotics Intell. Syst. 11(4): 7-14 (2018) - [j3]Wladyslaw Magiera, Urszula Libal, Agnieszka Wielgus:
Efficient measurement of higher-order statistics of stochastic processes. Kybernetika 54(5): 865-887 (2018) - [c5]Urszula Libal:
Pattern Recognition Based on Multidimensional Nonlinear Schur Parametrization. DSP 2018: 1-5 - [c4]Wladyslaw Magiera, Urszula Libal:
Statistical properties of signals approximated by orthogonal polynomials and Schur parametrization. SPA 2018: 229-234 - 2017
- [j2]Urszula Libal, Zygmunt Hasiewicz:
Risk upper bound for a NM-type multiresolution classification scheme of random signals by Daubechies wavelets. Eng. Appl. Artif. Intell. 62: 109-123 (2017) - 2014
- [j1]Urszula Libal, Krystian Spyra:
Wavelet based shock wave and muzzle blast classification for different supersonic projectiles. Expert Syst. Appl. 41(11): 5097-5104 (2014) - 2013
- [c3]Urszula Libal:
Multistage Naive Bayes Classifier with Reject Option for Multiresolution Signal Representation. ICPRAM 2013: 289-292 - 2012
- [c2]Urszula Libal:
Multistage pattern recognition of signals represented in wavelet bases with reject option. MMAR 2012: 79-84 - 2011
- [c1]Urszula Libal:
Feature selection for pattern recognition by LASSO and thresholding methods - a comparison. MMAR 2011: 168-173
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last updated on 2024-10-04 21:02 CEST by the dblp team
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