摘要：Most of the real world image is in the area of all possible pictures level instance of low dimensional characteristics. Know this low dimension to understand many image set is a key first step, has been applied to the reduced-order measures in different jurisdictions, including facial recognition, machine learning, image retrieval and handwritten character recognition. Traditional evaluation of statistical relationship distance global dimension reduction arithmetic. This assignment optimization assessment measures the relationship between the proposed a global data--GODR. The relationship between the measurement in the implementation of the data set and they are the intersection point. As the point of view, global dimension reduces the built-in implementations. Compared to worldwide arithmetic, should the divisor, and have more useful result. Facial expression implemented the change the efficiency of the arithmetic is verified by the experiments.
