Sparse Representation-Based Semi-Supervised Regression for People Counting.
Hongbo ZhangBineng ZhongQing LeiJi-Xiang DuJialin PengDuansheng ChenXiao KePublished in: ACM Trans. Multim. Comput. Commun. Appl. (2017)
Keyphrases
- semi supervised
- subspace learning
- regression algorithm
- semi supervised learning
- regression model
- pairwise
- sparse representation
- unlabeled data
- labeled data
- semi supervised classification
- supervised learning
- linear regression
- simple linear
- co training
- support vector
- dictionary learning
- unsupervised learning
- active learning
- principal component analysis
- multi view
- classification algorithm
- polynomial regression
- ridge regression
- dimensionality reduction
- labeled examples
- support vector regression
- manifold learning
- gaussian process
- compressive sensing
- regression method
- low rank
- model selection
- low dimensional
- regression problems
- partial least squares
- label propagation
- data representation
- constrained clustering
- neural network