Random Multi-Graphs: A semi-supervised learning framework for classification of high dimensional data.
Qin ZhangJianyuan SunGuoqiang ZhongJunyu DongPublished in: Image Vis. Comput. (2017)
Keyphrases
- semi supervised learning
- high dimensional data
- supervised learning
- high dimensionality
- semi supervised
- semi supervised classification
- dimensionality reduction
- unsupervised learning
- labeled data
- unlabeled data
- high dimensional
- machine learning
- dimension reduction
- graph construction
- co training
- data points
- pattern recognition
- data sets
- labeled and unlabeled data
- training data
- manifold learning
- subspace clustering
- nearest neighbor
- low dimensional
- semi supervised learning algorithms
- data analysis
- text classification
- probabilistic model
- active learning
- manifold structure
- class labels
- data distribution
- feature space
- feature set
- real world
- decision trees
- subspace learning
- multiple kernel learning
- training set
- support vector
- similarity measure
- learning tasks
- label information
- sparse representation
- label propagation
- computer vision
- kernel machines
- similarity search
- data mining
- small sample size
- support vector machine