A new criterion for optimal constrained minimax detection and classification.
Lionel FillatreIgor V. NikiforovPublished in: ICASSP (2011)
Keyphrases
- neyman pearson
- classification accuracy
- worst case
- neural network
- decision trees
- pattern recognition
- false alarms
- microcalcification clusters
- feature extraction
- support vector machine
- classification algorithm
- machine learning
- robust detection
- optimization criterion
- classification systems
- pattern classification
- feature selection
- dynamic programming
- object detection
- text classification
- type ii
- feature extraction and classification
- preprocessing
- automatic classification
- machine learning algorithms
- image classification
- monte carlo
- supervised learning
- classification method
- cross validation
- cost sensitive
- svm classifier
- classification scheme
- feature vectors
- detection method
- detection algorithm
- support vector machine svm
- support vector
- learning algorithm