Low-energy Formulations of Support Vector Machine Kernel Functions for Biomedical Sensor Applications.
Kyong-Ho LeeSun-Yuan KungNaveen VermaPublished in: J. Signal Process. Syst. (2012)
Keyphrases
- kernel function
- low energy
- support vector machine
- kernel methods
- support vector
- svm classifier
- electron microscopy
- sensor networks
- sensor data
- protein folding
- input space
- feature space
- feature selection
- support vector regression
- support vectors
- hyperplane
- kernel matrix
- machine learning
- gaussian kernels
- support vector machine svm
- feature vectors
- svm classification
- coarse grained
- training set
- cluster head
- kernel matrices
- training data
- reproducing kernel hilbert space
- multiple kernel learning
- high dimensional
- text mining
- x ray
- neural network
- fine grained
- energy consumption