A new approach to chemical agent detection, classification, and estimation.
Tao QianGenshe ChenErik BlaschRobert S. Lynch Jr.Yongwei QiPublished in: Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2008)
Keyphrases
- pattern recognition
- automatic classification
- text classification
- multi agent
- classification accuracy
- classification method
- classification algorithm
- robust detection
- feature extraction and classification
- feature space
- feature vectors
- support vector machine
- pattern classification
- false alarms
- estimation algorithm
- automatic detection
- support vector machine svm
- classification systems
- digital mammograms
- decision trees
- feature selection
- machine learning
- microcalcification clusters
- classification scheme
- neyman pearson
- class labels
- decision making
- multi agent systems
- data sets
- detection method
- supervised learning
- preprocessing
- neural network
- classification rules
- joint detection
- object recognition
- object detection
- agent model
- detection algorithm
- density estimation
- multiagent systems
- autonomous agents
- detection rate