Power- and Time-Aware Deep Learning Inference for Mobile Embedded Devices.
Woochul KangJaeyong ChungPublished in: IEEE Access (2019)
Keyphrases
- deep learning
- embedded devices
- mobile devices
- mobile commerce
- machine learning
- unsupervised feature learning
- unsupervised learning
- mobile phone
- embedded systems
- power consumption
- mobile services
- bayesian networks
- mobile learning
- weakly supervised
- mobile users
- data storage
- mobile technologies
- limited memory
- mental models
- electronic commerce
- probabilistic inference
- mobile applications
- context aware
- pairwise
- reinforcement learning
- belief networks
- decision making