PCA-based Feature Extraction for Phonotactic Language Recognition.
Tomás MikolovOldrich PlchotOndrej GlembekLukás BurgetJan CernockýPublished in: Odyssey (2010)
Keyphrases
- feature extraction
- principal component analysis
- pattern recognition
- recognition rate
- feature vectors
- principle component analysis
- object recognition
- feature extractor
- programming language
- recognition accuracy
- preprocessing
- image processing
- language learning
- dimensionality reduction
- ear biometrics
- principal components
- face recognition
- image classification
- feature fusion
- discriminant analysis
- facial expression recognition
- human recognition
- feature extractors
- feature space
- texture analysis
- extracted features
- linear discriminant analysis
- character recognition
- recognition algorithm
- machine learning
- frequency domain
- low dimensional
- feature selection
- independent component analysis
- recognition process
- extracting features
- human identification
- feature extraction and classification
- feature set
- wavelet transform
- data model