The moving small object detection in image is always a difficult problem in field of image processing, which applies in many fields, such as industrial detection and medical detection.
图像中运动小目标的检测一直是图像处理与分析领域中的难题，它涉及到很多领域，具有很广泛的研究价值和应用价值。
Anomaly Detection can solve this problem in theory and many technologies were developed.
异常检测技术从理论上能解决这个问题，因此出现了多种异常检测方法。
Many recent algorithms use the network modularity as quality metric, which turns the Community Detection into an optimization problem.
目前的大多数算法都采用了将模块度作为优化目标，进而将社团发现问题转化为优化模块度的问题。
In recent years, power quality disturbances detection and classification has become a problem which attracts the concern in many fields.
近年来，电能质量扰动检测与识别已经成为众多领域普遍关注的问题。
Depending on the strategy of choosing initial transformations many a time, the local minimum problem in process of iterative detection have been solved.
通过多次选择初始变换的搜索策略，解决了搜索过程中出现的局部极小值问题。
Depending on the strategy of choosing initial transformations many a time, the local minimum problem in process of iterative detection have been solved.
通过多次选择初始变换的搜索策略，解决了搜索过程中出现的局部极小值问题。
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