The Trajectory Interval Forest Classifier for Trajectory Classification.
Cristiano LandiRiccardo GuidottiMirco NanniAnna MonrealePublished in: SIGSPATIAL/GIS (2023)
Keyphrases
- classification method
- classification algorithm
- support vector machine
- classification scheme
- classification process
- classification rate
- support vector
- feature selection
- class labels
- feature space
- trajectory data
- binary classifiers
- learning vector quantization
- decision trees
- k nearest neighbour
- classification models
- svm classifier
- hierarchical classification
- learning phase
- multiple classifiers
- pattern recognition
- text classification
- feature set
- final classification
- multi category
- accurate classification
- multiclass classification
- rule based classifier
- classification schemes
- classifier combination
- nearest neighbor classifier
- training set
- classification accuracy
- text classifiers
- training samples
- knn
- robust classification
- nearest neighbor rule
- decision tree classifiers
- accurate classifiers
- high classification accuracy
- feature extraction and classification
- fuzzy support vector machine
- support vector machine svm
- training data
- multiple classifier systems
- pixel classification
- individual classifiers
- classifier ensemble
- bayesian classifier
- decision boundary
- image classification
- pattern classification
- fuzzy classifier
- unseen data
- feature vectors
- associative classifiers
- naive bayes classifier
- optimum path forest
- multi class classifier