A joint optimization framework of low-dimensional projection and collaborative representation for discriminative classification.
Xiaofeng LiuZhaofeng LiLingsheng KongZhihui DiaoJunliang YanYang ZouChao YangPing JiaJane YouPublished in: ICPR (2018)
Keyphrases
- joint optimization
- low dimensional
- feature representation
- feature selection
- pattern recognition
- machine learning
- decision trees
- subspace analysis
- high dimensional
- discriminative random fields
- class discrimination
- video classification
- graph embedding
- representation scheme
- input space
- feature extraction
- support vector
- data sets
- probabilistic boosting tree
- computer vision
- scene representation
- face recognition
- discriminative models
- similarity measure
- supervised learning
- discriminative features
- feature space
- data points
- input image
- manifold learning
- dimension reduction
- high dimensional data