End-to-End Deep Learning for Driver Distraction Recognition.
Arief KoesdwiadySafaa M. BedawiChaojie OuFakhri KarrayPublished in: ICIAR (2017)
Keyphrases
- end to end
- deep learning
- unsupervised learning
- unsupervised feature learning
- object recognition
- admission control
- weakly supervised
- mental models
- machine learning
- congestion control
- driving simulator
- deep architectures
- text localization and recognition
- partial occlusion
- deep belief networks
- model selection
- dimensionality reduction
- training data
- data mining