Subspace-Based Indoor Mobile Positioning Using Support Vector Regressor.
Shohei KikuchiShinya MatsuyamaAkira SanoHiroyuki TsujiPublished in: VTC Fall (2006)
Keyphrases
- support vector
- indoor positioning
- mobile devices
- wifi
- logistic regression
- feature space
- kernel function
- mobile phone
- support vector machine
- context aware
- low dimensional
- mobile learning
- mobile computing
- cross validation
- indoor navigation
- mobile networks
- mobile applications
- subspace methods
- high dimensional
- loss function
- high dimensional data
- kernel methods
- mobile environments
- radial basis function
- learning machines
- classification accuracy
- subspace clustering
- generalization ability
- support vector regression
- mobile technologies
- subspace learning
- regression method
- linear discriminant analysis
- data sets
- svm classifier
- principal component analysis
- feature selection
- mobile users
- binary classification
- hyperplane
- principal components
- multi class classification
- lower dimensional
- training examples
- dimensionality reduction
- mobile terminals
- learning algorithm