Hierarchical Feature Reduction with Max Relevance and Low Dimensional Embedding Strategy and Its Application in Activity Recognition with Multi-sensors.
Yu WeiLibin JiaoRashid MehmoodHua LiuAnton UmekAnton KosPublished in: IIKI (2017)
Keyphrases
- activity recognition
- low dimensional
- feature reduction
- wearable sensors
- sensory data
- human activity recognition
- human activities
- action recognition
- high dimensional
- rough sets
- principal component analysis
- dimensionality reduction
- text categorization
- smart home
- accelerometer data
- random forest
- transfer learning
- feature selection
- text classification
- knowledge discovery
- reduction method
- feature extraction
- rough set theory
- linear discriminant analysis
- feature set
- data points
- image processing
- artificial intelligence