Sökning: "Oövervakat representationsinlärning"
Hittade 2 uppsatser innehållade orden Oövervakat representationsinlärning.
1. Towards topology-aware Variational Auto-Encoders : from InvMap-VAE to Witness Simplicial VAE
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Variational Auto-Encoders (VAEs) are one of the most famous deep generative models. After showing that standard VAEs may not preserve the topology, that is the shape of the data, between the input and the latent space, we tried to modify them so that the topology is preserved. LÄS MER
2. Matching Sticky Notes Using Latent Representations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : his project addresses the issue of accurately identifying repeated images of sticky notes. Due to environmental conditions and the 3D location of the camera, different pictures taken of sticky notes may look distinct enough to be hard to determine if they belong to the same note. LÄS MER