Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel - Metric Learning for Classification.
Yinan YuTomas McKelveyPublished in: CoRR (2019)
Keyphrases
- feature space
- metric learning
- distance metric learning
- class specific
- kernel learning
- learning tasks
- classification accuracy
- dimensionality reduction
- multiple features
- distance metric
- learning algorithm
- kernel matrix
- image classification
- low dimensional
- dictionary learning
- feature selection
- unsupervised learning
- feature extraction
- kernel methods
- support vector machine
- learning problems
- learning process
- high dimensional
- multiple kernel learning
- pattern recognition
- multi task
- reinforcement learning
- principal component analysis
- supervised learning
- semi supervised
- active learning
- prior knowledge
- feature vectors
- machine learning
- nonlinear dimensionality reduction
- training samples
- incremental learning
- kernel function
- training set
- data fusion
- image retrieval
- training data
- face recognition
- image representation
- image processing
- feature set