A weighted voting method using minimum square error based on Extreme Learning Machine.
Jingjing CaoSam KwongRan WangKe LiPublished in: ICMLC (2012)
Keyphrases
- square error
- voting method
- extreme learning machine
- hough transform
- feed forward neural networks
- feedforward neural networks
- support vector regression
- neural network
- tensor voting
- single layer
- noise sensitivity
- gaussian processes
- hidden nodes
- objective function
- object location
- artificial neural networks
- feature extraction
- machine learning