Animal behavior classification via deep learning on embedded systems.
Reza ArabloueiLiang WangLachlan CurrieJodan YatesFlavio A. P. AlvarengaGregory Bishop-HurleyPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- embedded systems
- deep learning
- unsupervised learning
- machine learning
- embedded devices
- restricted boltzmann machine
- low cost
- animal behavior
- pattern recognition
- feature vectors
- feature space
- embedded software
- decision trees
- image classification
- training set
- model selection
- software systems
- text classification
- weakly supervised
- multiscale
- feature selection