A Distributed Deep Representation Learning Model for Big Image Data Classification.
Le DongNa LvQianni ZhangShanshan XieLing HeMengdie MaoPublished in: CoRR (2016)
Keyphrases
- learning phase
- computational model
- supervised learning
- learning process
- feature construction
- learning scheme
- image data
- learning problems
- learning models
- classification models
- mathematical model
- neural network
- prior knowledge
- pattern recognition
- support vector
- probabilistic model
- learning tasks
- probability distribution
- feature vectors
- unsupervised learning
- inference process
- high level
- learning algorithm
- classification algorithm
- qualitative models
- text classification
- distributed learning
- incremental learning
- classification method
- support vector machine svm
- distributed systems
- classification accuracy
- active learning
- reinforcement learning
- feature extraction
- machine learning