Learning to Recognize Actions from Limited Training Examples Using a Recurrent Spiking Neural Model.
Priyadarshini PandaNarayan SrinivasaPublished in: CoRR (2017)
Keyphrases
- training examples
- learning algorithm
- supervised learning
- active learning
- neural model
- positive examples
- learning process
- training data
- prior domain knowledge
- feed forward
- small number
- prior knowledge
- learning tasks
- training set
- learning rules
- support vector
- neural models
- spiking neural networks
- previously learned
- object categories
- recurrent neural networks
- real time
- action selection
- negative examples
- reinforcement learning
- unsupervised learning
- text classification
- similarity measure