Supervised Gaussian Process Latent Variable Model for Dimensionality Reduction.
Xinbo GaoXiumei WangDacheng TaoXuelong LiPublished in: IEEE Trans. Syst. Man Cybern. Part B (2011)
Keyphrases
- dimensionality reduction
- latent space
- gaussian process latent variable models
- low dimensional
- unsupervised learning
- high dimensional
- feature selection
- principal component analysis
- lower dimensional
- manifold learning
- high dimensionality
- high dimensional data
- pattern recognition
- feature space
- euclidean distance
- linear discriminant analysis
- data points
- random projections
- semi supervised
- singular value decomposition
- dimension reduction
- feature extraction
- learning algorithm
- supervised learning
- data sets
- high dimensional spaces
- machine learning