Unsupervised learning reveals interpretable latent representations for translucency perception.
Chenxi LiaoMasataka SawayamaBei XiaoPublished in: PLoS Comput. Biol. (2023)
Keyphrases
- unsupervised learning
- deep belief networks
- supervised learning
- multiple representations
- feature selection
- cluster analysis
- machine learning
- dimensionality reduction
- text classification
- human perception
- latent variables
- data sets
- semi supervised
- model selection
- knn
- mixture model
- classification rules
- similarity measure
- feature extraction
- decision trees
- mental models
- website
- computer vision
- color vision
- mental representations