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Culture develops from a civilization and progresses through the generations in tangible and intangible forms affecting various aspects of living. It gradually becomes a rulebook that guides the way of...
The paper presents a digital approach to the reconstruction and analysis of two small-sized fragments of louteria, a kind of large terracotta vase, found during an archaeological survey in the south o...
该专业为校企共建专业,共有Android应用与开发、Web前端开发方向两个专业方向。
The widespread usage of the mobile technologies and the improvement of the digital photo devices getting has led to more frequent cases of falsification of images including in the judicial practice. C...
According to the World Health Organization (WHO) lung cancer remains the leading cause of death of men among all malignant tumors [1, 2]. One of the reasons of such a statistics is the fact that the l...
In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
The concept of morphological moments of binary images is introduced. Morphological moments can be used as a shape descriptor combining an integral width description of an object with a description of ...
The aim of the paper is to obtain high quality of image upscaling for noisy images that are typical in medical image processing. A new training scenario for convolutional neural network based image up...
Deep convolutional neural networks have dramatically changed the landscape of the modern computer vision. Nowadays methods based on deep neural networks show the best performance among image recogniti...
The paper considers the effectiveness of motion estimation in video using pixel-by-pixel recurrent algorithms. The algorithms use stochastic gradient decent to find inter-frame shifts of all pixels of...
Known scene geometry and camera calibration parameters give important information to video content analysis systems. In this paper, we propose a novel method for camera pose estimation based on people...
仿真是研究基于信息系统的体系作战能力的一种重要手段。对基于信息系统体系作战的基本特征和体系 作战能力的生成机理进行了分析,运用Agent 的建模和仿真理论,提出一种基于信息系统的体系作战仿真系统。建 立了仿真模型的基本构架,设计了具有三层结构的仿真系统框架,实现了对体系作战的各种复杂的作战行动的建模 和对不确定作战环境进行充分的探索分析。分析证明,该仿真系统结构合理,并且具有多方面应用。
以建构水平理论为基础,自我锚定效应是否发生为解释机制,探讨购买情景中产品接收者发生变化时,不同信息源的在线评论说服力有何变化。研究发现,受心理距离匹配效应的影响,当产品接收者为关系亲密的他人时,模糊评论者与相似评论者的信息说服力大小一致,皆大于不相似评论者;而当产品接收者为关系较远的他人时,模糊评论者与不相似评论者的信息说服力一致,皆大于相似评论者。
物理层安全密钥容量受信道测量时差、终端移动和加性噪声等因素影响,在均匀散射环境中定量分析了上述因素对密钥容量的影响。在分析含噪窄带信道参数的时域统计特性的基础之上,推导了密钥容量时域闭式解,并且分别在均匀散射和非均匀散射环境中验证了推导结果的正确性和适用性。
针对现有分类器对SAR图像分类正确率不高的问题,考虑到单一的特征很难完全描述SAR目标,并且单一的分类器识别率有限,提出了一种基于加权特征融合的图像分类方法,采用多种特征来描述目标,并且用多个分类器同时对目标识别。实验结果显示,提出的方法能够达到较高的分类正确率,证明了该方法的有效性。

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