An LSTM-Based Method for Detection and Classification of Sensor Anomalies.
Alexander VernerSumitra MukherjeePublished in: ICMLT (2020)
Keyphrases
- detection method
- classification method
- classification accuracy
- classification process
- high accuracy
- accuracy rate
- support vector machine svm
- training samples
- support vector machine
- pattern recognition
- detection algorithm
- computational cost
- cost function
- significant improvement
- preprocessing
- video sequences
- objective function
- classification scheme
- pattern classification
- decision rules
- classification procedure
- benchmark data sets
- feature extraction and classification
- detection rate
- machine learning methods
- data sets
- classification algorithm
- cross validation
- false positives
- clustering method
- anomaly detection
- sensor networks
- feature space
- feature extraction
- learning algorithm