A Lightweight YOLOv2: A Binarized CNN with A Parallel Support Vector Regression for an FPGA.
Hiroki NakaharaHaruyoshi YonekawaTomoya FujiiShimpei SatoPublished in: FPGA (2018)
Keyphrases
- lightweight
- support vector regression
- parallel hardware
- regression model
- support vector
- hybrid model
- cellular neural networks
- support vector machine
- support vector machine svm
- hybrid genetic
- extreme learning machine
- response surface methodology
- kernel function
- low cost
- communication infrastructure
- wireless sensor networks
- field programmable gate array
- support vector classification
- wavelet frame
- dos attacks
- parallel computing
- nonlinear regression
- forecasting model
- authentication protocol
- artificial neural networks
- similarity measure
- feature space
- multiscale