High-Accuracy Classification of Attention Deficit Hyperactivity Disorder with L2, 1-Norm Linear Discriminant Analysis.
Yibin TangXufei LiYing ChenYuan ZhongAimin JiangXiaofeng LiuPublished in: ICASSP (2020)
Keyphrases
- linear discriminant analysis
- support vector machine svm
- discriminant analysis
- feature extraction
- dimension reduction
- small sample size
- discriminant features
- feature space
- class discrimination
- class separability
- principal component analysis
- support vector
- face recognition
- discriminative information
- fisher criterion
- dimensionality reduction
- pattern recognition
- subspace methods
- support vector machine
- subspace analysis
- kernel discriminant analysis
- principal components analysis
- null space
- decision trees
- attention deficit hyperactivity disorder
- generalized discriminant analysis
- feature selection
- high dimensional data
- text classification
- feature vectors
- model selection
- high dimensional
- dimensionality reduction methods
- svm classifier
- locality preserving projections
- training samples
- scatter matrices
- feature set
- qr decomposition
- training set
- machine learning