Latent Space Data Assimilation by using Deep Learning.
Mathis PeyronAnthony FillionSelime GürolVictor MarchaisSerge GrattonPierre BoudierGaël GoretPublished in: CoRR (2021)
Keyphrases
- deep learning
- latent space
- data assimilation
- anomaly detection
- kalman filter
- latent variables
- unsupervised learning
- dimensionality reduction
- low dimensional
- gaussian process
- motion field
- image sequences
- feature space
- high dimensional
- generative model
- machine learning
- transfer learning
- high dimensional data
- semi supervised
- motion estimation
- computer vision
- optical flow
- image classification
- probabilistic model
- higher order
- image retrieval
- natural images
- particle filter
- training data