Sökning: "Variational Auto-Encoder"

Visar resultat 11 - 11 av 11 uppsatser innehållade orden Variational Auto-Encoder.

1. 11. Detecting anomalies in robot time series data using stochastic recurrent networks

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Maximilian Sölch; [2015]
   Nyckelord :;

   Sammanfattning : This thesis proposes a novel anomaly detection algorithm for detect-ing anomalies in high-dimensional, multimodal, real-valued time se-ries data. The approach, requiring no domain knowledge, is based on Stochastic Recurrent Networks (STORNs), a universal distribution approximator for sequential data leveraging the power of Recurrent Neural Networks (RNNs) and Variational Auto-Encoders (VAEs). LÄS MER