Fast SVM-based Multiclass Classification in Large Training Sets

Kurbakov, Mikhail Yu.; Sulimova, Valentina V.

doi:https://doi.org/10.5194/isprs-annals-X-2-W1-2024-17-2024

Articles | Volume X-2/W1-2024

https://doi.org/10.5194/isprs-annals-X-2-W1-2024-17-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-annals-X-2-W1-2024-17-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume X-2/W1-2024

16 Dec 2024

| 16 Dec 2024

Fast SVM-based Multiclass Classification in Large Training Sets

Mikhail Yu. Kurbakov and Valentina V. Sulimova

Related authors

HIGH-PERFORMANCE TWO-LEVEL PARALLEL COMPUTING SCHEME FOR NANOPARTICLES DETECTION IN SEM IMAGES

M. Y. Kurbakov and V. V. Sulimova

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W3-2023, 145–150, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-145-2023,https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-145-2023, 2023

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Useful Links

Useful External Links

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org