An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network.
Banafsheh RekabdarMonica N. NicolescuMircea NicolescuPublished in: HRI (Extended Abstracts) (2015)
Keyphrases
- sequence data
- unsupervised learning
- human operators
- spiking neural networks
- sequence classification
- motor control
- biologically inspired
- supervised learning
- profile hidden markov models
- feed forward
- genetic variation
- evolutionary history
- high dimensional
- neural network
- mobile robot
- spiking neurons
- back propagation
- semi supervised
- spatio temporal
- pairwise
- genome sequences
- video sequences
- machine learning