Feature extraction and classification for spoken letter recognition using locality preserving partial least squares discriminant analysis

Keyphrases

• Feature Extraction 100%
• Feature Classification 100%
• Partial Least Squares Discriminant Analysis (PLS-DA) 100%
• Locality Preserving 100%
• Letter Recognition 100%
• Principal Coordinate Analysis (PCoA) 25%
• Dimensionality Reduction 16%
• Classification Accuracy 8%
• Class Label 8%
• Nearest Neighbor Classifier 8%
• Speech Recognition 8%
• High-dimensional Data 8%
• Similarity Matrix 8%
• Geometric Structure 8%
• Feature Extraction Methods 8%
• Neighborhood Information 8%
• Isolated Letters 8%
• Discriminant Feature Extraction 8%
• Phonological Similarity 8%
• Feature Extraction Module 8%
• Reduction Device 8%

Computer Science

• Feature Extraction 100%
• Discriminant Analysis 100%
• Least Squares Method 100%
• Letter Recognition 100%
• Principle Component Analysis 50%
• Dimensionality Reduction 33%
• Nearest Neighbors Classifier 16%
• Classification Accuracy 16%
• Experimental Result 16%
• Speech Recognition 16%
• Similarity Matrix 16%
• High Dimensionality 16%