针对基于统计的纹理分割算法存在的不足，提出了一种新的多分辨模型下的无监督统计纹理分割算法。

In order to overcome the weakness of statistical texture segmentation method, a new unsupervised texture segment algorithm, based on multi-resolution statistical model, was present.

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针对基于统计的纹理分割算法存在的不足，提出了一种新的多分辨模型下的无监督统计纹理分割算法。

This paper presents a novel approach to unsupervised texture segmentation according to a very general nonparametric statistical model of image neighborhoods.

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负责监督、指导、考核和培训银行业金融机构以及银监会派出机构的监管统计工作。

To supervise, guide, check and train the regulatory statistical work of the banking financial institutions and the resident agencies of the Commission.

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