Encapsulating the Impact of Transfer Learning, Domain Knowledge and Training Strategies in Deep-Learning Based Architecture: A Biometric Based Case Study.
Avantika SinghAditya NigamPublished in: CVPR Workshops (2018)
Keyphrases
- transfer learning
- deep learning
- domain knowledge
- restricted boltzmann machine
- case study
- machine learning
- deep architectures
- learning tasks
- unsupervised learning
- knowledge transfer
- cross domain
- semi supervised learning
- reinforcement learning
- labeled data
- previously learned
- active learning
- text categorization
- machine learning algorithms
- text classification
- target domain
- pattern recognition
- collaborative filtering
- weakly supervised
- real world
- supervised learning
- transfer knowledge
- unlabeled data
- training data
- training set
- feature extraction
- training samples
- domain theory
- mental models
- bayesian networks
- semi supervised
- prior knowledge
- pairwise
- feature space
- natural language