Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM).
Mijung ParkWittawat JitkrittumAhmad QamarZoltán SzabóLars BuesingManeesh SahaniPublished in: NIPS (2015)
Keyphrases
- manifold learning
- locally linear embedding
- latent space
- low dimensional
- dimensionality reduction
- high dimensional
- high dimensional data
- latent variables
- dimension reduction
- semi supervised
- feature extraction
- bayesian inference
- bayesian networks
- sparse representation
- gaussian processes
- geodesic distance
- data sets
- gaussian process
- maximum likelihood
- probabilistic model
- lower dimensional