Wi-HSNN: A subnetwork-based encoding structure for dimension reduction and food classification via harnessing multi-CNN model high-level features.
Wandong ZhangQ. M. Jonathan WuYimin YangPublished in: Neurocomputing (2020)
Keyphrases
- dimension reduction
- classification models
- feature extraction
- machine learning
- decision trees
- feature selection
- probabilistic model
- principal component analysis
- unsupervised learning
- learning algorithm
- high level
- image sequences
- computer vision
- feature space
- semi supervised
- machine learning algorithms
- high dimensionality
- data sets