Subspace detection based on the combination of nonlinear feature extraction and feature selection.
Md. Ali HossainXiuping JiaMark PickeringPublished in: WHISPERS (2013)
Keyphrases
- feature extraction
- feature selection
- feature space
- dimensionality reduction
- feature set
- feature extraction and classification
- principal component analysis
- image classification
- preprocessing
- feature vectors
- dimension reduction
- detection algorithm
- kernel based nonlinear
- face images
- high dimension
- detection method
- pattern classification
- kernel pca
- text categorization
- machine learning
- pattern recognition
- image processing
- support vector machine svm
- object detection
- wavelet transform
- frequency domain
- frequency analysis
- false alarms
- automatic detection
- texture analysis
- independent components analysis
- feature subspace
- feature representation
- gabor filters
- text classification
- detection rate
- discriminant analysis
- false positives
- mutual information
- data sets
- classification accuracy
- kernel principal component analysis
- support vector
- iris recognition
- support vector machine
- model selection