Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines.
Wei JiangShih-Fu ChangTony JebaraAlexander C. LouiPublished in: ECCV (4) (2008)
Keyphrases
- semi supervised learning
- support vector
- labeled and unlabeled data
- supervised learning
- unlabeled data
- semi supervised
- co training
- labeled data
- unsupervised learning
- machine learning
- classification accuracy
- support vector machine
- training data
- feature selection
- text classification
- svm classifier
- active learning
- class labels
- decision trees
- transfer learning
- training examples
- learning tasks
- data mining
- pattern recognition
- feature extraction
- support vector machine svm
- machine learning algorithms
- feature space
- dimension reduction
- hyperplane
- data sets
- training set
- loss function
- data analysis
- learning algorithm
- cost sensitive
- image processing