Research on Classification and Recognition of Underwater Targets Based on Spark's Decision Tree Technology.
Yue SunPeng YuanGuijuan LiPublished in: ICSPCC (2020)
Keyphrases
- decision trees
- object classification
- feature extraction
- pattern recognition
- automatic recognition
- predictive accuracy
- machine learning
- classification accuracy
- machine learning algorithms
- training set
- recognition accuracy
- classification algorithm
- object recognition
- feature vectors
- decision tree induction
- classification models
- text classification
- decision rules
- recognition process
- feature construction
- recognition rate
- class labels
- forward looking infrared
- pattern classification
- supervised learning
- feature selection
- naive bayes
- training samples
- unsupervised learning
- recognition algorithm
- support vector machine
- correct recognition
- action recognition
- high recognition rate
- attribute selection
- decision tree learning
- support vector
- fish species
- acoustic signals
- decision tree algorithms
- decision tree algorithm
- case study
- training data
- feature space
- target tracking
- key technologies
- rule sets