Linear Discriminant Analysis versus Artificial Neural Network as Classifiers for Elbow Angular Position Recognition Purposes.
Maria Cláudia Ferrari de CastroPublished in: BIOSIGNALS (2012)
Keyphrases
- linear discriminant analysis
- artificial neural networks
- linear discriminant
- support vector
- discriminant analysis
- subspace methods
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- feature reduction
- feature extraction
- small sample size
- discriminant features
- support vector machine svm
- high dimensional data
- decision trees
- fisher criterion
- training data
- null space
- neural network
- svm classifier
- feature space
- training samples
- support vector machine
- training set
- pca lda
- feature set
- scatter matrices
- class separability
- scatter matrix
- naive bayes
- logistic regression
- discriminative information
- dimensionality reduction methods
- principal components
- computer vision