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中文摘要：
受子空间学习和正则化技术的启发，提出正则化最小二乘的局部判别投影．为了获得投影子空间，首先构建类内和类间图，然后推导出计算公式，再使用正则化最小二乘法解出子空间．与普通算法相比，该算法既保持了流形的局部几何结构，又保持了判别结构．在标准人脸数据库上的实验表明该算法有效．
英文摘要：
Inspired by the idea of combining subspace learning and regularization techniques, an algorithm called locally discriminant projection of regularized least squares is proposed. To obtain projection subspace, within-class and between-class graph are constructed firstly. Then, the formula of locally discriminant projection is derived. Finally the projection subspace is worked out by regularized least squares. Compared with common algorithms, the proposed algorithm preserves the local geometrical structure of the manifold and the discriminant structure of the manifold. The experimental results on standard face database show effectiveness of the proposed algorithm.
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