Ship Recognition Based on Active Learning and Composite Kernel SVM.
Bin PanZhiguo JiangJunfeng WuHaopeng ZhangPenghao LuoPublished in: IGTA (2015)
Keyphrases
- active learning
- support vector
- kernel function
- kernel methods
- support vector machine svm
- kernel space
- object recognition
- recognition rate
- feature space
- kernel parameters
- rbf kernel
- support vector machine
- kernel machines
- machine learning
- pattern recognition
- multiple kernel learning
- svm classifier
- decision function
- recognition accuracy
- svm classification
- support vectors
- multi class
- recognition algorithm
- feature extraction
- string kernels
- sample selection
- statistical learning theory
- gaussian kernel
- polynomial kernels
- learning algorithm
- multiple kernel
- generalization ability
- training data
- training set
- labeled data
- histogram intersection kernel
- kernel ridge regression
- feature selection
- feature vectors
- knn
- semi supervised
- training examples
- action recognition
- radial basis function
- hyperplane
- selective sampling
- svm training
- standard svm
- learning problems
- kernel pca
- kernel learning
- kernel matrix
- random sampling
- training process