Data Assimilation in the Latent Space of a Convolutional Autoencoder.
Maddalena AmendolaRossella ArcucciLaetitia MottetCésar Quilodrán CasasShiwei FanChristopher C. PainPaul LindenYi-Ke GuoPublished in: ICCS (5) (2021)
Keyphrases
- latent space
- data assimilation
- restricted boltzmann machine
- transfer learning
- anomaly detection
- simulation models
- kalman filter
- latent variables
- low dimensional
- remote sensing
- gaussian process
- smart environments
- motion field
- lower dimensional
- generative model
- dimensionality reduction
- image sequences
- parameter space
- feature space
- matrix factorization
- simulation model
- semi supervised
- gaussian processes
- manifold learning
- high dimensional
- agent based simulations
- learning algorithm
- probabilistic latent semantic analysis
- distance metric
- machine learning
- gaussian mixture
- ambient intelligence
- random variables
- image processing
- em algorithm
- collaborative filtering
- optical flow
- probabilistic model
- mean shift
- regression model
- high dimensional data
- labeled data