A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks.
Junming YinQirong HoEric P. XingPublished in: NIPS (2013)
Keyphrases
- latent space
- gaussian process latent variable models
- latent variable models
- generative model
- bayesian networks
- latent variables
- low dimensional
- gaussian process
- dimensionality reduction
- probabilistic model
- lower dimensional
- high dimensional
- matrix factorization
- feature space
- manifold learning
- data sets
- bayesian framework
- bayesian inference
- gaussian processes
- parameter space
- machine learning
- higher dimensional
- data analysis
- pattern recognition
- image segmentation