CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition.
Liang XieJili TaoQianni ZhangHuiyu ZhouPublished in: IEEE Access (2019)
Keyphrases
- feature extraction
- pattern recognition
- real time
- kernel principal component analysis
- face recognition
- feature vectors
- image processing
- feature space
- pattern classification
- linear discriminant analysis
- discriminant analysis
- principal components analysis
- dimensionality reduction
- support vector machine svm
- kernel pca
- frequency domain
- extracted features
- pattern analysis
- preprocessing
- computer vision
- principal component analysis
- high speed
- neural network
- low cost
- control system
- feature extractors
- pattern representation
- linear feature extraction
- intelligent vehicles
- image classification
- speaker identification
- semi automated
- image analysis
- gabor wavelets
- machine learning
- cellular neural networks
- field of pattern recognition
- pattern recognition problems
- principal components
- texture analysis
- kernel methods
- texture features
- speech recognition
- wavelet transform