Locating facial landmarks by support vector machine-based active shape model

Keyphrases

• Support Vector Machine 100%
• Active Shape Model 100%
• Facial Landmarks 100%
• Performance Evaluation 16%
• Small Sample Size 16%
• Training Data 16%
• Face Database 16%
• Classification Performance 16%
• Imbalanced Data 16%
• Face Recognition 16%
• Classification Problem 16%
• Multi-class Classification 16%
• Mahalanobis Distance 16%
• Pose Estimation 16%
• Gaze Estimation 16%
• Shanghai Jiao Tong University 16%
• Size Classification 16%
• Methodological Support 16%
• Negative Examples 16%
• Positive Instances 16%
• Gray Level Profiles 16%
• Distance Minimization 16%
• Multivariate Gaussian Distribution 16%

Computer Science

• Support Vector Machine 100%
• Small Sample Size 33%
• Training Data 33%
• Classification Framework 33%
• Classification Performance 33%
• Classification Problem 33%
• Face Recognition 33%
• Performance Evaluation 33%
• Mahalanobis Distance 33%
• Multiclass Classification 33%
• Multi Class Classification 33%
• Pose Estimation 33%
• Positive Instance 33%