Early Anomalous Vehicular Traffic Detection Through Spectral Techniques and Unsupervised Learning Models.
Roberto Carlos Vazquez-NavaMiguel González-MendozaOscar Herrera-AlcántaraNeil Hernández-GressPublished in: MICAI (2019)
Keyphrases
- learning models
- anomaly detection
- vehicular traffic
- machine learning
- learning algorithm
- learning tasks
- loss function
- object detection
- conditional random fields
- semi supervised learning
- supervised learning
- machine learning algorithms
- classification models
- unsupervised learning
- semi supervised
- computer vision
- learning problems
- traffic jams