A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data.
Ricardo Pio MontiAapo HyvärinenPublished in: CoRR (2018)
Keyphrases
- high dimensional data
- probabilistic model
- low dimensional
- high dimensional
- dimensionality reduction
- subspace clustering
- unsupervised learning
- data sets
- nearest neighbor
- data points
- data analysis
- original data
- signal processing
- learning algorithm
- active learning
- feature extraction
- sparse representation
- linear discriminant analysis