Image segmentation is a method to extract regions of interest from an image. It remains a
fundamental problem in computer vision. The increasing diversity and the complexity of …

Accurate short-term load forecasting is of momentous significance to ensure safe and
economic operation of quick-change electric bus (e-bus) charging stations. In order to …

In this paper, a complete and fully automatic MRI brain tumour detection and segmentation
methodology is presented as an efficient clinical-aided tool using Gaussian mixture model …

A robust and accurate machine learning based hierarchical multiclassifier system is
proposed to automate the retrieval of interconnection information from delayered integrated …

Background: The kernelled possibilistic C-means clustering algorithm (KPCM) can
effectively cluster hyper-sphere data with noise and outliers by introducing the kernelled …

信源数估计的性能直接影响着高分辨测向的精度. 为提高估计方法的性能, 提出一种基于模糊C
类均值(fuzzyC means, FCM) 聚类的信源数估计方法. 在此方法中, 信号的协方差阵的特征值 …

The financial industry is a high-risk industry. Once the financial industry risk happen, it will
affect the economic development. Ensuring the safe, efficient and steady operation of …

摘要核可能性C-均值(KPCM) 聚类算法将核方法引入可能性聚类中, 使其对超球体,
含噪声和奇异点的数据能进行有效聚类, 但存在可能性聚类的中心重合问题. 因此, 将β …

This work shows a novel application based on techniques of Computer Vision and Machine
Learning to identify k clusters into a data set with overlapping issue. Used in area of …

Medical image segmentation has gained the higher popularity in medical science in order to
derive the more reliable and accurate decision on the basis of the medical images. The …