With the escalating contradiction between the growing demand for electric buses and limited
supporting resources of cities to deploy electric charging infrastructure, it is a great …

In hyperspectral remote sensing, the clustering technique is an important issue of concern.
Affinity propagation is a widely used clustering algorithm. However, the complex structure of …

Target grouping, which is essentially a data clustering problem, is a research hotspot in the
field of battlefield situation assessment. To address an unknown battlefield environment …

This paper comprises work on developing a novel approach for evaluating ARMA model
order. The precise model order (p, q) is obtained using the structural similarity (SSIM) index …

Affinity propagation (AP) is a widely used exemplar-based clustering approach with superior
efficiency and clustering quality. Nevertheless, a common issue with AP clustering is the …

针对传统近邻传播聚类算法以数据点对之间的相似度作为输入度量, 由于需要预设偏向参数p
和阻尼系数λ, 算法精度无法精确控制的问题, 提出了一种跳跃跟踪麻雀搜索算法优化的交叉迭代 …

Copied images as well as website designs are a substantial concern in digital rights
management. These issues often lead to litigation. Unfortunately, judgements regarding …

Intelligent surveillance is an important computer vision task, that can be used in real-time to
monitor public places like airport, temples, mall etc. It is essential, since person of interest …

It is well known that humans have incredibly flexible and general object recognition
capabilities, especially in comparison to machine vision systems. In an attempt to learn more …

Many clustering and cluster ensemble models have been proposed recently and have not
addressed two concerns; when a single model is executed multiple times on a dataset, it …