Efficiency of SSVEF Recognition from the Magnetoencephalogram - A Comparison of Spectral Feature Classification and CCA-based Prediction.
Christoph ReichertMatthias KennelRudolf KruseHermann HinrichsJochem W. RiegerPublished in: NEUROTECHNIX (2013)
Keyphrases
- pattern recognition
- feature vectors
- automatic recognition
- feature extraction
- object classification
- preprocessing stage
- correct recognition
- recognition rate
- feature analysis
- decision trees
- recognition accuracy
- feature set
- prediction accuracy
- high recognition rate
- feature representation
- prediction model
- handwritten digits
- unsupervised learning
- image classification
- feature selection
- highly discriminative
- model selection
- discrimination power
- pattern classification
- spectral features
- discriminative features
- support vector
- classification models
- classification accuracy
- neural network
- supervised learning
- action recognition
- human recognition
- feature fusion
- linear prediction
- classification method
- spectral analysis
- feature values
- ensemble classifier
- hyperspectral images
- classification algorithm
- support vector machine svm
- text classification
- multi class
- training set
- object recognition
- machine learning