Guided autoencoder for dimensionality reduction of pedestrian features.
Xuan LiTao ZhangXin ZhaoZhengming YiPublished in: Appl. Intell. (2020)
Keyphrases
- dimensionality reduction
- feature extraction
- feature space
- high dimensionality
- feature vectors
- prior knowledge
- structure preserving
- low dimensional
- feature set
- co occurrence
- object recognition
- image features
- low level
- hidden markov models
- action recognition
- principal components
- pedestrian detection
- data representation
- invariant features
- pattern recognition