Is Our Ground-Truth for Traffic Classification Reliable?
Valentín Carela-EspañolTomasz BujlowPere Barlet-RosPublished in: PAM (2014)
Keyphrases
- ground truth
- image classification
- classification process
- feature vectors
- decision trees
- feature extraction
- high quality
- pattern recognition
- classification accuracy
- machine learning
- supervised learning
- pattern classification
- video sequences
- feature selection
- machine learning methods
- real time
- machine learning algorithms
- classification scheme
- automatic classification
- road network
- gold standard
- unsupervised learning
- quantitative evaluation
- supervised classification
- network traffic
- cost effective
- classification method
- decision rules
- benchmark datasets
- feature set
- feature space
- data sets