Online, 7/06/2022.

NEANIAS organized a webinar to present and explain the NEANIAS SPACE Latent Space Explorer: Unsupervised Data Pattern Discovery on the Cloud, on June 7, 2022; at 14:30 CEST.

Latent Space Explorer (LSE) support analysis of image datasets via unsupervised machine learning methods. It allows to extract a compact representation from data by representation learning models (e.g. autoencoders). The information extracted can be then visualized using the projector. The latter allows visualizing the data in a 2D or 3D space in an interactive fashion. The system then allows performing clustering algorithms to detect potentially relevant ways to group images and to support the definition of novel classification schemes.

If you missed the event or if you want to watch it again, you can do it on the NEANIAS YouTube channel.