A semi-supervised learning model based on convolutional autoencoder and convolutional neural network for image classification.
Yu-Xuan LiHsiang-Yuan YehPublished in: ISPACS (2019)
Keyphrases
- semi supervised learning
- convolutional neural network
- image classification
- semi supervised
- restricted boltzmann machine
- sparse coding
- unlabeled data
- face detection
- labeled data
- unsupervised learning
- semi supervised classification
- supervised learning
- active learning
- machine learning
- image features
- label propagation
- bag of words
- co training
- deep learning
- graph based semi supervised learning
- image representation
- neural network
- sparse representation
- training data
- semi supervised learning algorithms
- manifold regularization
- visual words
- learning models
- transfer learning
- feature extraction
- computer vision
- semi supervised learning methods
- metric learning
- unlabeled samples
- training set
- labeled and unlabeled data
- text classification
- e learning
- reinforcement learning