Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection.
Vicent Sanz MarcoBen TaylorZheng WangYehia ElkhatibPublished in: CoRR (2019)
Keyphrases
- model selection
- embedded systems
- deep learning
- unsupervised learning
- machine learning
- cross validation
- statistical inference
- low cost
- hyperparameters
- bayesian model selection
- parameter estimation
- mixture model
- software systems
- feature selection
- model selection criteria
- selection criterion
- bayesian inference
- probabilistic inference
- gaussian process
- weakly supervised
- real time
- text classification
- multiscale
- mental models
- computer vision
- data mining