Support Vector Metric Learning on Symmetric Positive Definite Manifold.
Hao ChengPengfei ZhuQilong WangChangqing ZhangQinghua HuPublished in: ICME (2018)
Keyphrases
- symmetric positive definite
- metric learning
- kernel matrix
- support vector
- positive definite
- kernel function
- distance metric
- riemannian manifolds
- learning tasks
- distribution function
- kernel methods
- pairwise
- feature space
- semi supervised
- kernel learning
- distance function
- dimensionality reduction
- multi task
- diffusion tensor
- loss function
- support vectors
- multi class classification
- cross validation
- support vector machine
- hyperplane
- reproducing kernel hilbert space
- kernel pca
- learning machines
- feature selection
- parameter space
- svm classifier
- training examples
- machine learning
- euclidean distance
- semi supervised learning
- binary classification
- geodesic distance
- hyperparameters
- euclidean space
- background knowledge
- pattern recognition
- reinforcement learning