Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems.
Basar KütükçüSabur BaidyaAnand RaghunathanSujit DeyPublished in: ACM Trans. Embed. Comput. Syst. (2022)
Keyphrases
- machine vision
- model selection
- embedded systems
- cross validation
- hyperparameters
- vision system
- computing power
- low cost
- image processing
- character recognition
- embedded devices
- embedded software
- quality control
- resource limited
- parameter estimation
- model selection criteria
- bayesian learning
- sample size
- error estimation
- selection criterion
- statistical inference
- regression model
- mixture model
- feature selection
- real time systems
- software systems
- machine learning
- embedded real time systems
- computer vision
- field programmable gate array
- hw sw
- variable selection
- bayesian information criterion
- information criterion
- marginal likelihood
- automatic model selection
- high level
- parameter determination
- surface inspection
- closed form
- bayesian networks
- case study
- real time