Supervised low dimensional embedding for multi-label classification.
Zijie ChenZhifeng HaoPublished in: ICMLC (2014)
Keyphrases
- multi label classification
- low dimensional
- embedding space
- semi supervised
- multi label
- manifold learning
- semi supervised learning
- high dimensional
- dimensionality reduction
- supervised learning
- input space
- image annotation
- text categorization
- high dimensional data
- binary classification
- unsupervised learning
- principal component analysis
- data points
- classification algorithm
- learning algorithm
- unlabeled data
- labeled data
- feature selection
- class labels
- binary classifiers
- text classification
- support vector
- graph cuts
- feature space
- image classification
- higher order
- decision trees
- image data
- object recognition
- image understanding
- pattern recognition
- reinforcement learning
- data sets