Semi-supervised Learning for Convolutional Neural Networks Using Mild Supervisory Signals.
Takashi ShinozakiPublished in: ICONIP (4) (2016)
Keyphrases
- semi supervised learning
- convolutional neural networks
- semi supervised
- unlabeled data
- labeled data
- unsupervised learning
- machine learning
- learning problems
- signal processing
- supervised learning
- semi supervised classification
- active learning
- graph based semi supervised learning
- manifold regularization
- label propagation
- co training
- domain adaptation
- training data
- transfer learning
- learning models
- labeled examples
- labeled and unlabeled data
- prior knowledge
- improve the classification accuracy
- semi supervised learning methods
- semi supervised learning algorithms
- real world
- multi view learning
- multiscale
- object recognition
- maximum likelihood