A Higher-Order Latent Space Network Model.
Nesreen K. AhmedRyan A. RossiTheodore L. WillkeRong ZhouPublished in: AAAI Workshops (2017)
Keyphrases
- network model
- latent space
- higher order
- latent variables
- low dimensional
- gaussian process
- dimensionality reduction
- lower dimensional
- generative model
- gaussian processes
- parameter space
- natural images
- high dimensional
- feature space
- matrix factorization
- manifold learning
- distance metric
- pairwise
- gaussian process latent variable models
- probabilistic latent semantic analysis
- neural network
- transfer learning
- gaussian mixture
- markov random field
- bayesian framework
- high dimensional data
- data sets
- random variables
- sparse representation
- semi supervised learning
- text classification
- higher dimensional
- high dimensional spaces
- pattern recognition
- image segmentation