SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula

SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg

人脸检测flandmark-master-Detector of Facial Landmarks Learned by the Structured Output SVM

可视图像中的目标跟踪，利用双线性结构的SVM和清晰的特征图。-Visual Tracking via Dual Linear Structured SVM and Explicit Feature Map