Deep-Learning-Based Detection of Infants with Autism Spectrum Disorder Using Auto-Encoder Feature Representation.
Jung Hyuk LeeGeon Woo LeeGuiyoung BongHee Jeong YooHong Kook KimPublished in: Sensors (2020)
Keyphrases
- feature representation
- deep learning
- autism spectrum disorder
- machine learning
- unsupervised learning
- feature extraction
- low dimensional
- face recognition
- object detection
- high risk
- sparse representation
- mental models
- weakly supervised
- pattern recognition
- feature set
- feature representations
- image retrieval
- feature descriptors
- image processing
- computer vision