Kernel Principal Subspace Based Outlier Detection Method in Wireless Sensor Networks.
Oussama GhorbelMohamed AbidHichem SnoussiPublished in: AINA Workshops (2014)
Keyphrases
- detection method
- wireless sensor networks
- feature space
- kernel based nonlinear
- detection algorithm
- face detection
- outlier detection
- energy efficient
- sensor networks
- kernel pca
- hilbert space
- principal component analysis
- feature detection
- kernel function
- low dimensional
- kernel methods
- dot product
- energy consumption
- routing protocol
- feature extraction
- dimensionality reduction
- high dimensional
- kernel matrix
- reproducing kernel hilbert space
- computer vision
- high dimensional data
- multi class
- support vector
- feature selection