发布求助
文献互助 智能选刊 最新文献

... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging最新文献

筛选
英文 中文
Research on Hadoop-based massive short text clustering algorithm 基于hadoop的海量短文本聚类算法研究
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540380
Qiang Zhao, Yuliang Shi, Zepeng Qing
{"title":"Research on Hadoop-based massive short text clustering algorithm","authors":"Qiang Zhao, Yuliang Shi, Zepeng Qing","doi":"10.1117/12.2540380","DOIUrl":"https://doi.org/10.1117/12.2540380","url":null,"abstract":"Many clustering algorithms work well on small data sets of less than 200 data objects. However, a large database may contain millions of objects, and clustering on such a large data set may lead to biased results. As data volumes and availability continue to grow, so does the need for large dataset analytics. Among the most commonly used clustering algorithms, K-means proved to be one of the most popular choices to provide acceptable results in a reasonable amount of time. In this paper, we present an improved k-means algorithm with better initial centroids. Also, we implement this modified algorithm on Hadoop platform. Experiments show that the improved k-means algorithm converges faster than the classic k-means and the average execution time is reduced compared to the traditional k-means.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"26 1","pages":"111980A - 111980A-6"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83658660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Customization and optimization of SSD-based neural network model for detection of external force damage on transmission lines 基于ssd的输电线路外力损伤检测神经网络模型定制与优化
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540376
Yingying Chi, Rui Liu, WenpengCui Cui, Haifeng Zhang, Yidong Yuan
{"title":"Customization and optimization of SSD-based neural network model for detection of external force damage on transmission lines","authors":"Yingying Chi, Rui Liu, WenpengCui Cui, Haifeng Zhang, Yidong Yuan","doi":"10.1117/12.2540376","DOIUrl":"https://doi.org/10.1117/12.2540376","url":null,"abstract":"Based on the principle of SSD (Single Shot Multibox Detector) convolutional neural network algorithm, this paper develops corresponding training strategies, and uses the source data generated under a large number of power-grid scenarios to train and generate a 100-megabyte neural network model for intelligent monitoring of external force damage on transmission lines. Using the deep compression technology, the trained neural network model is re-trained and optimized in a targeted manner to ensure a compression ratio of 30%-50% under the premise that the accuracy is not degraded. In this way, the hardware storage resource configuration is more reasonable when the model is deployed on the embedded platform.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"48 1","pages":"111980R - 111980R-6"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90759872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Attention-based multi-scale transfer ResNet for skull fracture image classification 基于注意力的多尺度转移ResNet颅骨骨折图像分类
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540498
D. Ning, Gang Liu, R. Jiang, Chuyi Wang
{"title":"Attention-based multi-scale transfer ResNet for skull fracture image classification","authors":"D. Ning, Gang Liu, R. Jiang, Chuyi Wang","doi":"10.1117/12.2540498","DOIUrl":"https://doi.org/10.1117/12.2540498","url":null,"abstract":"The diagnosis of skull fracture is mainly judged by analyzing the scanned image of the skull. The diagnosis of skull fracture is essentially a special image classification problem. Recently, image classification methods based on deep learning have achieved good performance for general image classification. However, the effect of applying these methods to the diagnosis of skull fracture is not satisfactory. The reason is that it is difficult to distinguish the fracture regions from the background in the scanning image, and the extracted features of skull fracture and the background are very similar and indistinguishable. In order to solve the above problems, this paper proposed a novel skull fracture image classification approach based on attention mechanism, the proposed multi-scale transfer learning and residual network (ResNet), called attention-based multi-scale transfer ResNet (AMT-ResNet). In AMT-ResNet, attention mechanism is employed to give different focus to the feature information extracted by ResNet. In addition, the proposed multi-scale transfer learning is used to extract the common features from the multi-scale skull fracture images. Our proposed approach is evaluated on the datasets provided by Fujian medical university union hospital. Experimental results show that AMT-ResNet obtains better classification accuracy than other methods on skull fracture image classification.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"32 1","pages":"111980D - 111980D-5"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89913548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
An integrated deep-learning and geometric approach to 1D barcode 一维条码的综合深度学习和几何方法
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540364
Yunzhe Xiao, Junxin Jiang, Kai Xu
{"title":"An integrated deep-learning and geometric approach to 1D barcode","authors":"Yunzhe Xiao, Junxin Jiang, Kai Xu","doi":"10.1117/12.2540364","DOIUrl":"https://doi.org/10.1117/12.2540364","url":null,"abstract":"Vision-based 1D barcode reading gains increasing research due to great demand of high degree of automation. Aiming at detecting image region of 1D barcodes, existing geometric approaches barely balance speed and precision. Deeplearning- based methods can locate 1D barcode fast but lack effective and accurate segmentation process, while pure geometric-based methods take unnecessary computational cost when processing high resolution image. We propose to integrate the deep-learning and geometric approaches, to tackle robust barcode localization in the presence of complicated background and accurate barcode detection within the localized region, respectively. Our integrated solution benefits the complementary advantages of the two methods. Through extensive experiments on standard benchmarks, we show our integrated approach outperforms the state-of-the-arts by at least 5 percentages.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"76 1","pages":"1119811 - 1119811-6"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74474311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A new method for constructing ensemble polynomial regression model in privacy preserving distributed environment 隐私保护分布式环境下构造集成多项式回归模型的一种新方法
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540453
Yan Shao, Zhanjun Li, Wenjing Hong
{"title":"A new method for constructing ensemble polynomial regression model in privacy preserving distributed environment","authors":"Yan Shao, Zhanjun Li, Wenjing Hong","doi":"10.1117/12.2540453","DOIUrl":"https://doi.org/10.1117/12.2540453","url":null,"abstract":"The idea of ensemble learning can be used to solve problems about privacy preserving distributed data mining conveniently. Owners of distributed datasets can get an integrated model securely just by sharing and combining their sub models which are built on their respective sample sets, and generally the integrated model is more powerful than any sub model. However, sharing the sub models may cause serious privacy problems in some cases. So in this paper, we present a new method, based on which the data holders can integrate their sub polynomial regression models securely and efficiently without sharing them, and get the optimal combination regression model. In addition to theoretical analysis, we also verify the availability of the new method through experiments.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"84 1","pages":"111980H - 111980H-6"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76036334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Replay attack detection by channel frequency response difference enhancement 信道频响差分增强重放攻击检测
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540965
Xingchen Guo, Yibiao Yu
{"title":"Replay attack detection by channel frequency response difference enhancement","authors":"Xingchen Guo, Yibiao Yu","doi":"10.1117/12.2540965","DOIUrl":"https://doi.org/10.1117/12.2540965","url":null,"abstract":"Compared with the original speech, the replay attack speech passes through a complex channel mainly composed of a recording device and a playback device, and the frequency response of the channel causes a obvious change to the high and low frequency bands of the original speech spectrum. This paper proposed a Channel Difference Enhancement Cepstral Coefficient (CDECC) feature that enhances the channel frequency response difference, and detects the replay attack speech by enhancing the spectral difference caused by the channel frequency response. Experiments based on the ASVspoof 2017 Challenge data set show that the proposed method has a significant improvement in detection performance compared to the baseline system using Constant Q Cepstral Coefficients (CQCC), and the equal error rate (EER) is reduced by 18.20% under the same conditions, indicating that the performance of the CDECC feature is more effective than that of CQCC and MFCC features in detecting replay attack speech.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"110 1 Pt 1 1","pages":"111980Q - 111980Q-7"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89747644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Swine grunt analysis through intensity and frequency isolation with thermography using Adafruit AMG8833 IR thermal camera breakout for swine stress detection and reduction 利用Adafruit AMG8833红外热像仪断口，通过强度和频率分离热像仪分析猪的咕噜声，对猪的应激进行检测和降低
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540959
Leonardo D. Valiente, Ramon Garcia, Justin Llyod Catapang, Emmanuelle Allyanna Manalili, Abegail Salapantan
{"title":"Swine grunt analysis through intensity and frequency isolation with thermography using Adafruit AMG8833 IR thermal camera breakout for swine stress detection and reduction","authors":"Leonardo D. Valiente, Ramon Garcia, Justin Llyod Catapang, Emmanuelle Allyanna Manalili, Abegail Salapantan","doi":"10.1117/12.2540959","DOIUrl":"https://doi.org/10.1117/12.2540959","url":null,"abstract":"This paper proposed an automated system that captures an infrared image using Adafruit AMG8833 IR Thermal Camera and record audio via an omnidirectional microphone connected to a sound card and process the data to determine if the swine had experience thermal stress. Temperature together with the frequency and noise intensity of the swine were logged into the system for the data analysis. After the system detected that swine was under thermal stress, the misting and ventilation is activated that reduce the amount of heat the swine had experienced. Two test was conducted for comparison. A controlled setup with the misting and ventilating and an uncontrolled with only the thermal camera and microphone. The data gathered proves that maintaining the pig's temperature at normal levels through the help of an automated sprinkling and ventilating device results to better growth performance.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"34 1","pages":"111980K - 111980K-5"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89855509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Second glance framework (secG): enhanced ulcer detection with deep learning on a large wireless capsule endoscopy dataset Second glance框架(secG):在大型无线胶囊内窥镜数据集上使用深度学习增强溃疡检测
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540456
Sen Wang, Yuxiang Xing, Li Zhang, Hewei Gao, Haotong Zhang
{"title":"Second glance framework (secG): enhanced ulcer detection with deep learning on a large wireless capsule endoscopy dataset","authors":"Sen Wang, Yuxiang Xing, Li Zhang, Hewei Gao, Haotong Zhang","doi":"10.1117/12.2540456","DOIUrl":"https://doi.org/10.1117/12.2540456","url":null,"abstract":"Wireless Capsule Endoscopy (WCE) enables physicians to examine gastrointestinal (GI) tract without surgery. It has become a widely used diagnostic technique while the huge image data brings heavy burden to doctors. As a result, computer-aided diagnosis systems that can assist doctors as a second observer gain great research interest. In this paper, we aim to demonstrate the feasibility of deep learning for lesion recognition. We propose a Second Glance framework for ulcer detection and verified its effectiveness and robustness on a large ulcer WCE dataset (largest one to our knowledge for this problem) which consists of 1,504 independent WCE videos. The performance of our method is compared with off-the-shelf detection frameworks. Our framework achieves the best ROC-AUC of 0.9235 and outperforms the results of RetinaNet (0.8901), Faster-RCNN(0.9038) and SSD-300 (0.8355).","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"52 1","pages":"111980V - 111980V-7"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84458689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Raw pork and beef quality determination through pH level and lipid oxidation patterns and image processing 通过pH值和脂质氧化模式及图像处理测定生猪肉和牛肉的质量
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540892
Jessie R. Balbin, Joseph Bryan G. Ibarra, Carlo Reese F. Borja, Neil Leander A. de Dios, Paul Nicko G. Pangilinan, Miguel Francis B. Yan
{"title":"Raw pork and beef quality determination through pH level and lipid oxidation patterns and image processing","authors":"Jessie R. Balbin, Joseph Bryan G. Ibarra, Carlo Reese F. Borja, Neil Leander A. de Dios, Paul Nicko G. Pangilinan, Miguel Francis B. Yan","doi":"10.1117/12.2540892","DOIUrl":"https://doi.org/10.1117/12.2540892","url":null,"abstract":"The purpose of this paper is to determine the meat quality of raw pork and beef by means of a gas sensor and Open Source Computer Vision for real-time pattern recognition. This is to reinforce the meat quality detection. Nowadays, people only rely on a simple test method in determining the meat quality. This includes, sensory evaluation, physical, chemical and microbiological testing are described. Lipid Oxidation is a reaction that takes place when oxygen has access to products containing fat or pigments. The main purpose of the study is to determine the quality of raw pork and beef via different but effective methods. Subsequent to this, Oxidation pattern of meat was also investigated.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"34 1","pages":"1119807 - 1119807-5"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78699524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extracting stroke errors from digital ink characters by beginning learners of Chinese as a foreign language based on accurate stroke matching 基于准确笔画匹配的对外汉语初学者数字墨迹笔画错误提取
... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging Pub Date : 2019-07-31 DOI: 10.1117/12.2540373
Hao Bai, Xiwen Zhang
{"title":"Extracting stroke errors from digital ink characters by beginning learners of Chinese as a foreign language based on accurate stroke matching","authors":"Hao Bai, Xiwen Zhang","doi":"10.1117/12.2540373","DOIUrl":"https://doi.org/10.1117/12.2540373","url":null,"abstract":"The extraction of errors is an important aspect of Chinese character writing research. Stroke errors are the origins of most handwriting mistakes. Previous works have made some efforts on the types of errors extracted, while most of them are either preset by rules or deficient to include all types of stroke errors. For foreign students learning Chinese as a foreign language, especially beginners whose writing habits and characteristics are affected by ones of their native languages, methods by presetting are difficult to adopt. Therefore, this paper initiated from the data itself, proposes an adaptive approach to extract handwriting errors based on the result of the stroke matching which is accurate to sampling points in strokes. After the tagging list given as a matching index, the writing errors are adaptively extracted in different stroke errors of Chinese characters, including missing strokes, extra strokes, concatenated strokes, broken strokes, redundant strokes, incomplete strokes, the error of orientation and order. After serial experiments, the result indicates that the proposed approach is effective in extracting handwriting stroke errors.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"227 1","pages":"111980M - 111980M-6"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76168263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信