Detection and classification of power disturbances using half multi-resolution morphology gradient.
Igna Dwijaya SaputraJ. S. SmithL. JiangQ. Henry WuPublished in: ISGT Europe (2016)
Keyphrases
- multiresolution
- classification accuracy
- pattern classification
- machine learning
- robust detection
- classification algorithm
- classification scheme
- automatic detection
- decision rules
- feature vectors
- microcalcification clusters
- power consumption
- class labels
- machine learning algorithms
- detection method
- detection algorithm
- supervised learning
- feature extraction
- support vector
- pattern recognition
- data sets
- image classification
- feature selection
- hierarchical representation
- automatic classification
- decision trees
- classification method
- support vector machine
- benchmark datasets
- object detection
- feature set
- preprocessing
- classification models
- false alarms
- image processing
- classification systems
- feature extraction and classification
- support vector machine svm
- digital mammograms
- training samples