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Investigating Keypoint Repeatability for 3D Correspondence Estimation in Cluttered Scenes.

, , , и . DICTA, стр. 1-7. IEEE, (2017)

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Lech Wierny

Lech Wierny

Lech Suwala

Lech Kaczmarczyk

Lech Ostasz

 

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Evaluating deep learning architectures for Speech Emotion Recognition., , и . Neural Networks, (2017)Multichannel Weighted Speech Classification System for Prediction of Major Depression in Adolescents., , и . IEEE Trans. Biomed. Eng., 60 (2): 497-506 (2013)Statistical differences in speech acoustics of major depressed and non-depressed adolescents., , и . ICSPCS, стр. 1-7. IEEE, (2015)Optimization of a temporal decomposition model of speech., , и . ISSPA, стр. 471-474. IEEE, (1999)Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels., , и . IJCNN, стр. 566-570. IEEE, (2016)Speech Acoustic Features Characterising Individuals with High and Low Public Trust., , , и . ICSPCS, стр. 1-9. IEEE, (2019)LoRa Signal Demodulation Using Deep Learning, a Time-Domain Approach., , , и . VTC Spring, стр. 1-6. IEEE, (2021)Recognition of stress in speech using wavelet analysis and Teager energy operator., , , и . INTERSPEECH, стр. 605-608. ISCA, (2008)Speaker Verification Based on Different Vector Quantization Techniques with Gaussian Mixture Models., , и . NSS, стр. 403-408. IEEE Computer Society, (2009)Sleep Stage Recognition from EEG Using a Distributed Multi-Channel Decision-Making System., , и . ICSPCS, стр. 1-7. IEEE, (2021)