Data-driven detection and context-based classification of maritime anomalies.
Giuliana PallottaAnne-Laure JousselmePublished in: FUSION (2015)
Keyphrases
- data driven
- anomaly detection
- pattern recognition
- support vector
- classification accuracy
- robust detection
- image classification
- classification models
- classification systems
- pattern classification
- classification algorithm
- text classification
- automatic classification
- event detection
- spam detection
- detection algorithm
- support vector machine svm
- digital mammograms
- feature extraction
- decision trees
- feature selection
- computer vision
- machine learning
- support vector machine classifier
- abnormal behavior
- data sets
- classification process
- microcalcification clusters
- classification rate
- cost sensitive
- automatic detection
- classification method
- decision rules
- class labels
- decision support system
- feature vectors
- object recognition