An Efficient Framework for Animal Breeds Classification Using Semi-Supervised Learning and Multi-Part Convolutional Neural Network (MP-CNN).
Sundaram Divya MeenaLoganathan AgilandeeswariPublished in: IEEE Access (2019)
Keyphrases
- convolutional neural network
- semi supervised learning
- semi supervised
- supervised learning
- manifold regularization
- semi supervised classification
- improve the classification accuracy
- unsupervised learning
- labeled and unlabeled data
- unlabeled data
- regularization framework
- labeled data
- face detection
- machine learning
- transductive support vector machine
- semi supervised learning algorithms
- co training
- multi view learning
- active learning
- discriminative models
- semi supervised learning setting
- neural network
- multiple kernel learning
- pattern recognition
- semi supervised learning methods
- classification accuracy
- probabilistic model
- multiple instance learning
- dimension reduction
- class labels
- graph based semi supervised learning
- graph construction
- text classification
- support vector machine
- training data