25 citations · 45 across the 14 of their papers we have counts for
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cs.LG2021
Data structure > labels? Unsupervised heuristics for SVM hyperparameter estimation
Michał Cholewa, Michał Romaszewski, Przemysław Głomb
Classification is one of the main areas of pattern recognition research, and within it, Support Vector Machine (SVM) is one of the most popular methods outside of field of deep lea…
eess.IV2021
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation
Kamil Książek, Przemysław Głomb, Michał Romaszewski +3
Neural networks, in particular autoencoders, are one of the most promising solutions for unmixing hyperspectral data, i.e. reconstructing the spectra of observed substances (endmem…