Learning Sparse Kernel Classifiers for Multi-Instance Classification.
Zhouyu FuGuojun LuKai Ming TingDengsheng ZhangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2013)
Keyphrases
- multi instance
- support vector
- unsupervised learning
- decision trees
- supervised learning
- sparse kernel
- training data
- training set
- learning algorithm
- learning process
- learning problems
- svm classifier
- feature selection
- machine learning
- decision boundary
- classification models
- class labels
- machine learning algorithms
- training samples
- feature extraction
- feature vectors
- feature set
- large margin classifiers
- reinforcement learning
- support vector machine svm
- benchmark datasets
- object detection
- support vector machine
- classification accuracy