Classification of hand preshaping in persons with stroke using Linear Discriminant Analysis.
Saumya PuthenveettilGerard G. FluetQinyin QiuSergei V. AdamovichPublished in: EMBC (2012)
Keyphrases
- linear discriminant analysis
- small sample size
- support vector machine svm
- feature extraction
- discriminant features
- support vector
- dimension reduction
- class separability
- discriminant analysis
- feature space
- fisher criterion
- face recognition
- dimensionality reduction
- class discrimination
- discriminative information
- feature analysis
- principal component analysis
- pattern recognition
- high dimensional data
- null space
- subspace analysis
- principal components analysis
- pca lda
- feature selection
- sample size
- subspace methods
- image classification
- classification accuracy
- kernel discriminant analysis
- locality preserving projections
- dealing with high dimensional data
- text classification
- feature vectors
- decision trees
- machine learning
- feature set
- image processing
- supervised dimensionality reduction
- dimensionality reduction methods
- linear discriminant
- support vector machine
- scatter matrices
- computer vision
- neural network