-Norm Regularized Discriminative Feature Selection for Unsupervised Learning.
Yi YangHeng Tao ShenZhigang MaZi HuangXiaofang ZhouPublished in: IJCAI (2011)
Keyphrases
- unsupervised learning
- feature selection
- regularized least squares
- trace norm
- dimensionality reduction
- regularization method
- supervised feature selection
- discriminative features
- supervised learning
- semi supervised
- supervised and unsupervised learning
- text classification
- model selection
- mutual information
- semi supervised learning
- text categorization
- sparse coding
- deep learning
- norm minimization
- machine learning
- objective function
- least squares
- feature space
- object recognition
- sparsity inducing
- classification accuracy
- feature selection algorithms
- multi task
- total least squares
- dimension reduction
- support vector machine
- multi class
- class separability
- feature extraction
- image segmentation
- sparse learning
- data mining
- probabilistic model
- expectation maximization
- feature subset
- image restoration
- labeled data