In modern Laser-Induced Breakdown Spectroscopy applications, we produce a very large, high-dimensional datasets which are impossible to inspect by hand or process by commonly used techniques. We have already shown that the dimension of the data can be effectively reduced. However, obtaining easily-understandable low-dimensional representation is still challenging and requires increased attention. Succeeding in this task would dramatically improve the exploration of large LIBS datasets (visualization, collaborative filtering, classification).

CEITEC VUT-J-20-6528

Czech

Vrábel Jakub, Ing. - principal person responsible
Kaiser Jozef, prof. Ing., Ph.D. - fellow researcher

Advanced instrumentation and methods for material characterization
- responsible department (5.3.2020 - not assigned)
Advanced instrumentation and methods for material characterization
- co-beneficiary (1.1.2020 - 31.12.2020)
Central European Institute of Technology BUT
- beneficiary (1.1.2020 - 31.12.2020)

VRÁBEL, J.; KÉPEŠ, E.; POŘÍZKA, P.; KAISER, J. Classification of spectroscopic data - challenges, benchmarking and limitations. 2020.
Detail

VRÁBEL, J.; KÉPEŠ, E.; POŘÍZKA, P.; KAISER, J. Distance of spectroscopic data. 2020.
Detail

VRÁBEL, J.; POŘÍZKA, P.; KAISER, J. Restricted Boltzmann Machine method for dimensionality reduction of large spectroscopic data. Spectrochimica Acta Part B, 2020, vol. 167, no. 105849, p. NA (NA p.)ISSN: 0584-8547.
Detail

Responsibility: Vrábel Jakub, Ing.