Latent Space Factorisation and Manipulation via Matrix Subspace Projection.
Xiao LiChenghua LinRuizhe LiChaozheng WangFrank GuerinPublished in: ICML (2020)
Keyphrases
- subspace projection
- latent space
- feature space
- principal component analysis
- low dimensional
- dimensionality reduction
- discriminant analysis
- latent variables
- lower dimensional
- subspace clusters
- singular value decomposition
- hyperspectral imagery
- gaussian process
- face identification
- manifold learning
- linear discriminant analysis
- generative model
- covariance matrix
- parameter space
- probabilistic latent semantic analysis
- high dimensional
- transfer learning
- distance metric
- gaussian processes
- feature vectors
- matrix factorization
- high dimensional data
- gaussian mixture
- subspace clustering
- pattern recognition
- data points
- feature extraction
- original data
- high dimensionality
- face images
- training set