Latent Space Factorisation and Manipulation via Matrix Subspace Projection.
Xiao LiChenghua LinChaozheng WangFrank GuerinPublished in: CoRR (2019)
Keyphrases
- latent space
- subspace projection
- feature space
- principal component analysis
- low dimensional
- lower dimensional
- dimensionality reduction
- discriminant analysis
- latent variables
- gaussian process
- hyperspectral imagery
- high dimensional
- subspace clusters
- face identification
- linear discriminant analysis
- gaussian processes
- generative model
- probabilistic latent semantic analysis
- feature vectors
- matrix factorization
- singular value decomposition
- manifold learning
- covariance matrix
- parameter space
- transfer learning
- data mining
- high dimensionality
- high dimensional data
- dimension reduction
- pattern recognition
- object recognition
- training set
- feature selection
- probabilistic model
- gaussian mixture
- multi dimensional
- euclidean space
- distance metric