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2018 3rd International Conference on Computational Intelligence and Applications (ICCIA)最新文献

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What Makes the Difference in Visual Styles of Comics: From Classification to Style Transfer 漫画视觉风格的差异:从分类到风格转移
Young-Min Kim
The recent success of deep neural network in computer vision provided a new framework to detect visual features of painting styles. However, most deep learning-based approaches analyzing artworks are not interested in popular arts such as comics. In this works, we investigate the artistic styles of comics with deep neural networks. First, we classify comic book pages into five different artists using Convolutional Neural Networks. And the internal features of comic styles are then captured via a feature visualization technique. Second, a style transfer algorithm is applied to several comic book pages drawn by three different artists. We verify how the visual property of a style is transferred to a page using several examples. This is one of the first attempts to analyze in detail the styles of comics with deep neural networks.
近年来,深度神经网络在计算机视觉领域的成功为检测绘画风格的视觉特征提供了一个新的框架。然而,大多数基于深度学习的艺术分析方法对漫画等流行艺术不感兴趣。在本研究中,我们用深度神经网络来研究漫画的艺术风格。首先,我们使用卷积神经网络将漫画书页面分为五个不同的艺术家。然后通过特征可视化技术捕获漫画风格的内部特征。其次,将风格转移算法应用于由三位不同艺术家绘制的几页漫画书。我们使用几个示例来验证如何将样式的视觉属性转移到页面上。这是第一次尝试用深度神经网络详细分析漫画风格。
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引用次数: 3
Using Median as a Threshold in Determining Anomaly in Back-End Authentication 中值作为阈值在后端认证异常判断中的应用
Jaehoon Kim
In anomaly detection, as threshold, we typically use the 1.5 times or more of the interquartile range (IQR) in the parametric statistical method or 3σ in normal distribution. However, this criterion is not suitable for our application domain. Because the threshold value is so high that the IQR or 3σ is not secure. Therefore, we consider using median value as a threshold. Using the median value is more secure than using the IQR or 3σ as the number is smaller. In this paper, we first introduce our application domain and then verify that using the median value is more suitable in our application domain. In addition, we conclude that, depending on the situation, other measurements such as σ, 2σ, mean, and mode can be suitable criteria.
在异常检测中,我们通常使用参数统计方法中四分位间距(IQR)的1.5倍或以上作为阈值,或者使用正态分布中的3σ作为阈值。然而,这个标准并不适合我们的应用领域。由于阈值过高,使得IQR或3σ不安全。因此,我们考虑使用中位数作为阈值。使用中位数比使用IQR或3σ更安全,因为数字更小。在本文中,我们首先介绍了我们的应用领域,然后验证了在我们的应用领域中使用中值是更合适的。此外,我们还得出结论,根据具体情况,σ、2σ、均值和众数等其他测量值也可以作为合适的标准。
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引用次数: 2
Publisher's Information 出版商的信息
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引用次数: 0
Calculation of Projection Matrix in Image Reconstruction Based on Neural Network 基于神经网络的图像重建中投影矩阵的计算
Bingzhen Lei, Xiuqing Li, Jun Zhang, Junhai Wen
The iterative reconstruction algorithms can get better reconstruction result by adding constraints in the case of incomplete or uneven projection. In the iterative reconstruction algorithm, how to obtain the relationship between the reconstructed image and the projected data, namely, projection matrix, is the key to the image reconstruction. In this paper, the neural network algorithm is used to calculate the projection matrix, which gives a solution to a class of problems. In simulation, we use the projection matrix trained by the neural network to achieve the reconstruction, and the results show that the original image can be well reconstructed.
迭代重建算法通过在投影不完全或不均匀的情况下加入约束,可以获得较好的重建效果。在迭代重建算法中,如何获得重建图像与投影数据之间的关系,即投影矩阵,是图像重建的关键。本文采用神经网络算法计算投影矩阵,给出了一类问题的求解方法。在仿真中,我们使用神经网络训练的投影矩阵来实现重建,结果表明原始图像可以很好地重建。
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引用次数: 2
An Oppositional Learning Prediction Operator for Simulated Kalman Filter 一种针对模拟卡尔曼滤波器的对立学习预测算子
Z. Ibrahim, Kamil Zakwan Mohd Azmi, Nor Azlina Ab. Aziz, Nor Hidayati Abdul Aziz, B. Muhammad, Mohd Falfazli Mat Jusof, M. I. Shapiai
Simulated Kalman filter (SKF) is a recent metaheuristic optimization algorithm established in 2015. In the present study, we introduce a prediction operator in SKF to prolong its exploration and to avoid premature convergence. The proposed prediction operator is based on oppositional learning. The results show that using CEC2014 as benchmark problems, the SKF algorithm with oppositional learning prediction operator outperforms the original SKF algorithm in most cases.
模拟卡尔曼滤波(SKF)是2015年建立的一种新的元启发式优化算法。在本研究中,我们在SKF中引入了一个预测算子,以延长其探索时间并避免过早收敛。提出的预测算子是基于对立学习的。结果表明,以CEC2014为基准问题,具有对立学习预测算子的SKF算法在大多数情况下优于原SKF算法。
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引用次数: 8
Incomparable Wireless Transceiver System Design for Micro-Satellite 微型卫星无与伦比的无线收发系统设计
Yongpeng Zhang, Chao Gao
In order to meet the needs of equipment in the modern micro system, such as cost, power, efficiency and so on, this paper studies a design of wireless transceiver system based on micro-satellite. By analyzing the actual requirements of the system, the design of the reliability and quality of the system in hardware design and software design is optimized. An efficient, low-cost and reliable wireless transceiver system for small satellites.
为了满足现代微系统中设备在成本、功率、效率等方面的需求,本文研究了一种基于微卫星的无线收发系统的设计。通过分析系统的实际需求,从硬件设计和软件设计两方面对系统的可靠性和质量进行了优化设计。一种高效、低成本、可靠的小卫星无线收发系统。
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引用次数: 0
Using Convolutional Neural Networks for Automated Fine Grained Image Classification of Acute Lymphoblastic Leukemia 卷积神经网络用于急性淋巴细胞白血病的自动细粒度图像分类
Richard K. Sipes, Dan Li
Acute lymphoblastic leukemia can be diagnosed through a series of tests which include the minimally invasive microscopic examination of a stained peripheral blood smear. Manual microscopy is a slow process with variable accuracy depending on the laboratorian's skill level. Thus automating microscopy is a goal in cell biology. Current methods involve hand-selecting features from cell images as inputs to a variety of standard machine learning classifiers. Underrepresented in this filed, yet successful in practice, is the convolutional neural network that learns features from fine-grained images. This paper compares the performance of a convolutional neural network model with other models to determine the validity of using whole cell images rather than hand-selected features for acute lymphoblastic leukemia classification.
急性淋巴细胞白血病可以通过一系列的检查来诊断,其中包括对染色的外周血涂片进行微创显微镜检查。人工显微镜是一个缓慢的过程,准确度取决于实验室人员的技能水平。因此,自动化显微镜是细胞生物学的一个目标。目前的方法包括从细胞图像中手动选择特征作为各种标准机器学习分类器的输入。卷积神经网络从细粒度图像中学习特征,这一领域的代表性不足,但在实践中取得了成功。本文比较了卷积神经网络模型与其他模型的性能,以确定使用全细胞图像而不是手工选择的特征进行急性淋巴细胞白血病分类的有效性。
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引用次数: 14
A Word Vector Based Review Vector Method for Sentiment Analysis of Movie Reviews Exploring the Applicability of the Movie Reviews 基于词向量的影评情感分析方法探讨了影评的适用性
Fulian Yin, Yanyan Wang, Xingyi Pan, Pei Su
Based on word embedding method, this paper presents a word vector based review vector method for sentiment analysis of movie reviews. As a result, it is achieved that 86.18% classification accuracy using the method. Meanwhile, the method is applicable to multiple languages such as Chinese and English, and it is extensible for larger scale contents as well. What’s more, the influence of word vector dimensions on the sentiment analysis accuracy and the method’s applicability on sentences of varied lengths are also discussed in this paper. The experimental result proved that the word vector based review method for sentiment analysis is not only an efficient and simple way to analyze emotional expression, but also has extensibility and applicability for comments in varied lengths and multiple languages.
基于词嵌入方法,提出了一种基于词向量的影评情感分析方法。结果表明,该方法的分类准确率达到了86.18%。同时,该方法适用于多种语言,如中文和英文,并可扩展到更大规模的内容。此外,本文还讨论了词向量维数对情感分析精度的影响以及该方法对不同长度句子的适用性。实验结果证明,基于词向量的情感评论分析方法不仅是一种高效、简单的情感表达分析方法,而且对不同长度、多语言的评论具有可扩展性和适用性。
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引用次数: 1
Design and Implementation of an Automatic Vehicle for Thermographic Inspections in Electric Distribution Network Using Deep Learning Based Software 基于深度学习的配电网热像仪自动检测仪的设计与实现
D. G. Caetano, F. Fambrini, Y. Iano, Rangel Arthur, R. Ferrarezi, Frank C. Cabello, João von Zuben, Abel A. D. Rodriguez, E. Carrara, Guilherme Mazoni, C. Moya, Daniel Cavalcante de Menezes, Guilherme Ferretti Grissi
In this paper, the authors describe the design, development and implementation of a deep-learning based system mounted on a terrestrial vehicle roof-top. The main objective is to capture images of overheat elements from the distribution powergrid network during the travel. Initially the vehicle was equipped with nine cameras to cover inspection in both side of the road and also covers the front view. This solution results in the capability to inspect hundreds of miles of power distribution lines without the need to stop the vehicle and without the need for a human operator. In the near future autonomous vehicles could be equipped with such a system to perform a full automatic inspection.
在本文中,作者描述了安装在地面车辆车顶上的基于深度学习的系统的设计、开发和实现。主要目的是在运行过程中捕获配电网络中过热元件的图像。最初,该车配备了9个摄像头,以覆盖道路两侧的检查,也覆盖了前视图。该解决方案能够在不停车和不需要人工操作的情况下检查数百英里的配电线路。在不久的将来,自动驾驶汽车可能会配备这样一个系统来执行全自动检查。
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引用次数: 1
Multi-Task Learning for Chinese Word Usage Errors Detection 基于多任务学习的汉语用词错误检测
Jinbin Zhang, Heng Wang
Chinese word usage errors often occur in non-native Chinese learners' writing. It is very helpful for non-native Chinese learners to detect them automatically when learning writing. In this paper, we propose a novel approach, which takes advantages of different auxiliary tasks, such as POS-tagging prediction and word log frequency prediction, to help the task of Chinese word usage error detection. With the help of these auxiliary tasks, we achieve the state-of-the-art results on the performances on the HSK corpus data, without any other extra data.
在非母语汉语学习者的写作中,经常出现汉语用词错误。对于非母语的汉语学习者来说,在学习写作的过程中自动发现它们是很有帮助的。本文提出了一种利用pos标注预测和词频预测等辅助任务来辅助汉语词用错误检测的新方法。在这些辅助任务的帮助下,我们在不需要任何其他额外数据的情况下,在HSK语料库数据上获得了最先进的性能结果。
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引用次数: 1
期刊
2018 3rd International Conference on Computational Intelligence and Applications (ICCIA)
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