We introduce the use of describable visual attributes for face verification and image search.
Describable visual attributes are labels that can be given to an image to describe its …

The ultimate goal of pattern recognition is to discriminate the class membership of the
observed novel objects with the minimum misclassification rate. An observed object is often …

When appearance variation of object and its background, partial occlusion or deterioration
in object images occurs, most existing visual tracking methods tend to fail in tracking the …

Kernel methods, in particular support vector machines, have been further extended into a
new class of methods, which could effectively solve nonlinear problems in chemistry by …

The current discriminant analysis method design is generally independent of classifiers, thus
the connection between discriminant analysis methods and classifiers is loose. This paper …

Based on locally linear embedding (LLE) and modified maximizing margin criterion
(MMMC), a modified locally linear discriminant embedding (MLLDE) algorithm is proposed …

This paper proposes a framework of face recognition based on the multi-scale local
structures of the face image. While some basic tools in this framework are inherited from the …

将压缩映射和同构映射引入核化图嵌入框架(kernel extension of graph embedding, 简称KGE),
从理论上证明了KGE 框架内的各种核算法其实质是KPCA (kernel principal component …

Kernel Fisher discriminant analysis (KFDA) extracts a nonlinear feature from a sample by
calculating as many kernel functions as the training samples. Thus, its computational …

Generalized discriminant analysis (GDA) is a commonly used method for dimensionality
reduction. In its general form, it seeks a nonlinear projection that simultaneously maximizes …