Latent Space Autoregression for Novelty Detection.
Davide AbatiAngelo PorrelloSimone CalderaraRita CucchiaraPublished in: CVPR (2019)
Keyphrases
- novelty detection
- latent space
- latent variables
- low dimensional
- parameter space
- gaussian process
- lower dimensional
- dimensionality reduction
- feature space
- generative model
- manifold learning
- anomaly detection
- high dimensional
- gaussian processes
- gaussian process latent variable models
- matrix factorization
- transfer learning
- probabilistic latent semantic analysis
- high dimensional data
- probabilistic model
- high dimensional spaces
- nearest neighbor
- gaussian mixture
- semi supervised
- higher dimensional
- prior knowledge
- training set
- distance metric
- unsupervised learning
- concept drift
- decision trees