Feature selection and multiple kernel boosting framework based on PSO with mutation mechanism for hyperspectral classification.
Chengming QiZhangbing ZhouYunchuan SunHoubing SongLishuan HuQun WangPublished in: Neurocomputing (2017)
Keyphrases
- hyperspectral
- feature selection
- classification accuracy
- support vector machine
- text classification
- support vector
- multiple kernel learning
- feature set
- machine learning
- pattern recognition
- feature space
- high dimensionality
- feature extraction
- training set
- unsupervised learning
- kernel learning
- support vector machine svm
- image data
- feature vectors
- model selection
- text categorization
- decision trees
- multiple features
- learning algorithm
- training samples
- feature subset
- high dimensional data
- data sets
- dimension reduction
- active learning
- cross validation
- linear combination
- supervised learning
- computer vision
- image classification