Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction.
Xinwei JiangJunbin GaoTianjiang WangLihong ZhengPublished in: IEEE Trans. Syst. Man Cybern. Part B (2012)
Keyphrases
- dimensionality reduction
- latent space
- gaussian process latent variable models
- low dimensional
- high dimensional
- unsupervised learning
- feature selection
- latent variables
- lower dimensional
- high dimensional data
- manifold learning
- random projections
- feature extraction
- high dimensionality
- principal component analysis
- learning algorithm
- pattern recognition
- semi supervised
- data points
- sparse representation
- closed form
- singular value decomposition
- dimension reduction
- gaussian process
- random variables
- feature space
- linear discriminant analysis
- supervised learning
- data sets
- text mining
- bayesian networks
- euclidean space
- euclidean distance
- collaborative filtering
- text categorization
- semi supervised learning