Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning.
Chun-Guang LiZhouchen LinHonggang ZhangJun GuoPublished in: ICCV (2015)
Keyphrases
- semi supervised learning
- semi supervised
- supervised learning
- multi view learning
- labeled and unlabeled data
- kernel machines
- manifold regularization
- unlabeled data
- learning frameworks
- semi supervised learning setting
- learning problems
- boosting framework
- regularization framework
- labeled data
- active learning
- unsupervised learning
- co training
- semi supervised classification
- learning models
- graph transduction
- semi supervised learning algorithms
- learning process
- partially labeled data
- machine learning
- multi view
- learning tasks
- incremental learning
- kernel learning
- domain adaptation
- learning algorithm
- graph based semi supervised learning
- label propagation
- pairwise constraints
- positive examples
- multiple instance learning
- unlabeled samples
- partially labeled
- weakly supervised
- semi supervised learning methods
- semi supervised support vector machines
- label information
- graph construction
- text classification
- training data
- labeled examples
- labeled instances
- data sets
- prior knowledge
- text mining
- class labels
- semi supervised clustering
- metric learning