Interpretable Feature Generation using Deep Neural Networks and its Application to Lane Change Detection.
Oliver GallitzOliver De CandidoMichael BotschWolfgang UtschickPublished in: ITSC (2019)
Keyphrases
- change detection
- feature generation
- neural network
- inductive learning
- text categorization
- remote sensing
- remote sensing images
- statistical approaches
- pattern recognition
- feature representations
- word sense disambiguation
- data streams
- constructive induction
- image registration
- generation method
- detection algorithm
- inductive logic programming
- feature construction
- classification rules
- knowledge acquisition
- statistical modeling
- selection strategy
- information extraction
- concept drift
- feature vectors
- d objects
- machine learning
- feature selection