Manifold Kernel Metric Learning for Larger-Scale Image Annotation.
Lihua GuoPublished in: IEICE Trans. Inf. Syst. (2015)
Keyphrases
- image annotation
- larger scale
- metric learning
- kernel matrix
- feature space
- manifold structure
- distance metric learning
- image retrieval
- image understanding
- multi modal
- distance metric
- visual features
- semi supervised
- kernel learning
- dimensionality reduction
- image content
- manifold learning
- multi label
- kernel function
- learning tasks
- pairwise
- multi task
- low dimensional
- distance function
- graph laplacian
- high dimensional
- image representation
- riemannian manifolds
- multiple instance learning
- low level features
- data points
- nonlinear dimensionality reduction
- support vector
- kernel methods
- image database
- feature vectors
- semi supervised learning
- feature selection
- multiple kernel learning
- labeled data
- image classification
- principal component analysis
- prior knowledge
- margin maximization