Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification.
Azadeh Rezazadeh HamedaniMohammad Hossein MoattarYahya ForghaniPublished in: J. Big Data (2021)
Keyphrases
- manifold learning
- pattern classification
- latent space
- feature extraction
- low dimensional
- discriminant embedding
- dimensionality reduction
- high dimensional
- manifold structure
- sparse representation
- nonlinear dimensionality reduction
- semi supervised
- dimension reduction
- pattern recognition
- high dimensional data
- feature space
- face recognition
- gaussian process
- lower dimensional
- gaussian processes
- generative model
- latent variables
- transfer learning
- image classification
- parameter space
- data sets
- input data
- nearest neighbor
- data points
- locally linear embedding
- active learning
- multiscale
- neural network