Application of Support Vector Machines to Vapor Detection and Classification for Environmental Monitoring of Spacecraft.
Tao QianXiaokun LiBulent AyhanRoger XuChiman KwanTim GriffinPublished in: ISNN (2) (2006)
Keyphrases
- environmental monitoring
- sensor networks
- wireless sensor networks
- automatic classification
- pattern recognition
- classification systems
- image classification
- automatic detection
- decision trees
- robust detection
- text classification
- false positives
- anomaly detection
- disaster management
- feature extraction and classification
- support vector
- feature selection
- classification scheme
- neyman pearson
- detection method
- benchmark datasets
- detection algorithm
- support vector machine svm
- training samples
- supervised learning
- classification accuracy
- feature vectors
- microcalcification clusters
- wireless multimedia sensor networks
- feature extraction
- mammogram images
- training data
- training set
- false alarms
- classification models
- routing algorithm
- svm classifier
- machine learning
- class labels