Convolutional variational autoencoder-based feature learning for automatic tea clone recognition.
Vicky ZilvanAde RamdanAna HeryanaDikdik KrisnandiEndang SuryawatiR. Sandra YuwanaR. Budiarianto S. KusumoHilman F. PardedePublished in: J. King Saud Univ. Comput. Inf. Sci. (2022)
Keyphrases
- learning algorithm
- learning process
- visual recognition
- learning systems
- prior knowledge
- recognition rate
- unsupervised learning
- knowledge acquisition
- object recognition
- artificial neural networks
- active learning
- image features
- neural network
- reinforcement learning
- feature extraction
- sparse representation
- activity recognition
- learning tasks
- image segmentation
- weakly supervised
- feedforward neural networks
- deep learning