Feature-aware Label Space Dimension Reduction for Multi-label Classification.
Yao-Nan ChenHsuan-Tien LinPublished in: NIPS (2012)
Keyphrases
- dimension reduction
- label space
- multi label classification
- multi label
- feature space
- feature subspace
- principal component analysis
- feature extraction
- text categorization
- semi supervised learning
- high dimensional data
- high dimensional
- feature selection
- feature set
- low dimensional
- image annotation
- multi class
- dimensionality reduction
- markov networks
- binary classification
- semi supervised
- linear discriminant analysis
- unsupervised learning
- feature vectors
- high dimensionality
- image features
- classification algorithm
- image classification
- superpixels
- graph cuts
- meta level
- multiple labels
- machine learning
- least squares
- binary classifiers
- object recognition
- face recognition