Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space.
B. S. Shajee MohanC. Chandra SekharPublished in: Pattern Anal. Appl. (2018)
Keyphrases
- pattern analysis
- feature space
- kernel function
- gram matrix
- distance metric learning
- component analysis
- kernel learning
- kernel pca
- metric learning
- kernel methods
- positive definite
- kernel machines
- kernel matrix
- distance metric
- dimensionality reduction
- pattern recognition
- support vector
- learning tasks
- support vector machine
- active learning
- semi supervised
- manifold learning
- input space
- multi task
- nonlinear dimensionality reduction
- data analysis
- high dimensional
- image processing
- image classification
- training set
- image analysis
- gaussian processes
- data points
- machine learning
- euclidean distance