Compare the Receiver Operating Characteristic (ROC) and Linear Discriminant Analysis (LDA) for Acromegaly Detection by Three-Dimensional Facial Measurements.
Ming-Hsu WangBi-Hui ChenWen-Ko ChiouPublished in: HCI (17) (2017)
Keyphrases
- linear discriminant analysis
- receiver operating characteristic
- face recognition
- roc curve
- discriminant analysis
- principal component analysis
- dimensionality reduction
- roc analysis
- dimension reduction
- small sample size
- feature extraction
- null space
- support vector machine svm
- support vector
- feature space
- face images
- fisher criterion
- facial expressions
- high dimensional data
- facial images
- detection method
- human faces
- linear discriminant
- recognition rate
- gabor features
- scatter matrix
- generalized discriminant analysis
- pca lda
- feature selection
- recognition accuracy
- face detection
- pattern recognition
- subspace methods
- scatter matrices
- sample size
- qr decomposition
- image processing