2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)最新文献

A novel image matching algorithm using local description 一种基于局部描述的图像匹配算法

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073403

Wen-Huan Wu, Zhang Qian

引用次数: 2

Searching safe landing site with parameters optimization based on genetic algorithm 基于遗传算法的参数优化搜索安全着陆点

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073370

Xianggen Liu, Huasong Zhong, Sheng Chang, Y. Meng

引用次数: 3

A new relevant document retrieval algorithm via adaptive discrete stochastic optimization 一种新的基于自适应离散随机优化的相关文献检索算法

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073365

Shu-Huai Ren

引用次数: 0

An improving online accuracy updated ensemble method in learning from evolving data streams 一种提高在线精度的集成方法在不断变化的数据流中学习

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073443

Xiao-Feng Gu, Jia-Wen Xu, Shi-Jing Huang, Liao-Ming Wang

{"title":"An improving online accuracy updated ensemble method in learning from evolving data streams","authors":"Xiao-Feng Gu, Jia-Wen Xu, Shi-Jing Huang, Liao-Ming Wang","doi":"10.1109/ICCWAMTIP.2014.7073443","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073443","url":null,"abstract":"Most stream classifiers need to detect and react to concept drifts, as traditional machine learning goes to big data machine learning. The most popular ways to adaptive to concept drifts are incrementally learning and classifier dynamic ensemble. Recent years, ensemble classifiers have become an established research line in this field, mainly due to their modularity which offers a natural way of adapting to changes. However, many ensembles which process instances in blocks do not react to sudden changes sufficiently quickly, and which process streams incrementally do not offer accurate reactions to gradual and incremental changes. Fortunately, an Online Accuracy Updated Ensemble (OAUE) algorithm was presented by Brzezinski and Stefanowski. OAUE algorithm has been proven to be an effective ensemble to deal with drifting data stream. But, it has a potentially weakness to adaptive to sudden changes as it uses a fixed window. Therefore, we put forward a Window-Adaptive Online Accuracy Updated Ensemble (WAOAUE) algorithm, which is based on OAUE, and a change detector is added to the ensemble for deciding the window size of each candidate classifier. The proposed algorithm was experimentally compared with four state-of-the-art online ensembles, include OAUE, and provided best practice for big data stream mining.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129522284","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: 6

Boundedness in a quasilinear parabolic-elliptic repulsion chemotaxis system with logistic source 一类具有logistic源的拟线性抛物-椭圆斥力趋化系统的有界性

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073429

Yilong Wang

引用次数: 0

A real-time stream system based on node.js 一个基于node.js的实时流系统

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073454

Xiao-Feng Gu, Le Yang, Shaoquan Wu

引用次数: 4

Content based image retrieval based on geo-location driven image tagging on the social web 社交网络上基于地理位置驱动的图像标记的基于内容的图像检索

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073408

Muhammad Hammad Memon, Asif Khan, Jian-ping Li, R. Shaikh, I. Memon, S. Deep

{"title":"Content based image retrieval based on geo-location driven image tagging on the social web","authors":"Muhammad Hammad Memon, Asif Khan, Jian-ping Li, R. Shaikh, I. Memon, S. Deep","doi":"10.1109/ICCWAMTIP.2014.7073408","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073408","url":null,"abstract":"In recently years, in the era of multimedia technologies need for information/data retrieval systems getting more attention. The data might be image, video, audio and/or text files. Digital libraries, surveillance application, web applications and many other applications that handle huge volume of data essentially have data retrieval components. These data always include large-scale of independent information with both textual and visual contents. The large numbers of images has posed increasing challenges to computer systems to store and manage data effectively and efficiently. In this paper, we proposed a method of Geo-location-based image retrieval (GLBIR). The proposed method identifies a geo location in an image using visual attention-based mechanism and represents them using its color layout descriptors and curve let descriptors. These features are extracted from geo location of query image from Flickr. The likeness between the query geo coordinates and image is ranked according to a similarity measure computed from the feature vectors. Our proposed model does not full semantic understanding of image content, uses visual metrics for example proximity, color contrast, size and nearness to image's boundaries to locate viewer's attention. We evaluate our approach on the image dataset from Flickr. We analyzed results analyzed and compared with state of art CBIR Systems and GLBIR Technique.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131996577","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: 28

Dynamic resource allocations based on Q-learning for D2D communication in cellular networks 基于q -学习的蜂窝网络D2D通信动态资源分配

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073432

Yong Luo, Zhiping Shi, Xin Zhou, Qiaoyan Liu, Qicong Yi

引用次数: 48

A blind motion deblurring for daytime and nighttime images 对白天和夜间图像进行消模糊的一种盲运动

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073358

Fei Zhang, Y. Dou, Xin Niu

引用次数: 0

Design and implementation of weak magnetic measurement based on magnetoresistive sensors 基于磁阻传感器的弱磁测量的设计与实现

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI: 10.1109/ICCWAMTIP.2014.7073355

Tianshi Jia, Yanan Liu

{"title":"Design and implementation of weak magnetic measurement based on magnetoresistive sensors","authors":"Tianshi Jia, Yanan Liu","doi":"10.1109/ICCWAMTIP.2014.7073355","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073355","url":null,"abstract":"In order to obtain real-time and accurately magnetic parameters, a micro digital magnetometer based on HMC1001 magnetoresistance sensors was designed. The paper detailedly illustrates the working principle and design scheme of the system. The data acquisition module adopts 24 bit sigma-delta A/D converter AD7732 to sample magnetic signals of three sensors. FPGA is applied as main master controller to perform the data acquisition and transmission. Finally, the sampled data are transmitted to the upper computer through RS485 interface in asynchronous serial mode. According to the analysis of writing and reading time diagrams of AD7732, the paper also introduces the software design of data collection. Through the use of parallel processing capabilities of FPGA, three-channel analog signals are sampled in parallel, which realizes the real time acquisition and transmission of magnetic signals. The test result showed that tricomponent magnetic resistance magnetometer has the good performance in linearity, noise level and long-term stability. Compared with traditional magnetometer, this system has advantages such as high reliability, high precision and low power consumption. It can be applied successfully in the detection of weak geomagnetic field signal.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124457493","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: 2