Breaking the degeneracy in stellar spectral classification from single wide-band images

Open Access

Fig. 8

F1 score, accuracy, and top-two accuracy by stellar type for the PCA+MLP, CNN+MLP, and SVM+PSF models. The $SVM + {PSF}_{S_{1}}$ ${\rm{SVM}} + {\rm{PS}}{{\rm{F}}_{{{\cal S}_1}}}$ line shows the SVM+PSF classifier that uses the similarity features computed with an approximate PSF model trained on the 𝒮₁ dataset, which has a relative error of 2.5%.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.