检索结果-内蒙古大学图书馆

6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014

作者： Liu, Yanbin Han, Yahong School of Computer Science and Technology Tianjin University China Tianjin Key Laboratory of Cognitive Computing and Application China

ISBN: (纸本)9781450328104

During recent years, the amount of multimedia data on social websites is growing exponentially. It is observed that multimedia data corresponding to the same semantic concept usually appears in different media types and from heterogeneous data sources. In order to synchronize and leverage these diverse forms of media data for multimedia applications, we present a real-world web dataset collected from Google, Flickr and YouTube for cross-media research. The dataset includes 41,387 text files, 65,371 images and 30,818 videos (about 1091 hours) which are correlated semantically with each other by 335 representative visual concepts. Widely-used features are extracted for each media type and all of them are publicly available. To evaluate the performance of our dataset, experiments on baseline recognition, feature evaluation and domain adaptation are performed. The experimental results indicate that it is possible to perform multiple cross-media tasks based on our proposed dataset. Copyright 2014 ACM.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

BP-CF hybrid recommendation algorithm: Implementation and analysis

引用

ICIC Express Letters, Part B: applications 2015年第1期6卷 227-232页

作者： Yu, Ruiguo Zhang, Minjie Wang, Zan Yuan, Zhenxia School of Computer Science and Technology Tianjin University No. 92 Weijin Road Nankai District Tianjin China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University No. 92 Weijin Road Nankai District Tianjin China School of Computer Software Tianjin University No. 92 Weijin Road Nankai District Tianjin China

Recommendation algorithm makes personalized recommendation by applying knowledge discovery. Among all recommendation algorithms, the k-nearest neighbor collaborative filtering (CF) is the most widely used. However, the sparsity problem makes the accuracy hardly to improve. In this paper we implement BP neural networks (simplified as BP)-CF hybrid algorithm to use the significant part of the rating matrix maximumly. By modelling with the relatively dense part of rating matrix using BP neural networks, we reduce the MAE on MovieLens dataset from 0.77 to 0.68.

关键词： Collaborative filtering

来源：评论

学校读者我要写书评

暂无评论

A new iterative modularity-based method for graph clustering on scalable networks

A new iterative modularity-based method for graph clustering...

引用

International Conference on Machine Tool technology and Mechatronics Engineering, ICMTTME 2014

作者： Cui, Yi Tong Zhang, Bing Yi Rao, Guo Zheng School of Computer Science and Technology Tianjin University Tianjin China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China

ISBN: (纸本)9783038352464

Due to the advancement of technology, modern networks such as social networks, citation networks, Web networks have been extremely large, reaching millions of nodes in a network. But most of the existing graph clustering algorithms can only tackle with small or medium-size networks. In this paper, we introduce a new method which can achieve high graph clustering quality for large scale networks by optimizing the modularity function. It is based on the iterative idea and takes good advantage of the exsiting multilevel local search heuristics. After introducing this modularity-based method, we evaluate its performance by applying it to several well-known network datasets. With a cost of more but acceptable time, it outperforms the best algorithms in the literature in the case of modularity optimization quality. © 2014, Trans Tech Publications, Switzerland.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Extraordinary Hall resistance and unconventional magnetoresistance in Pt/LaCoO3 hybrids

引用

Physical Review B 2015年第16期92卷 165114-165114页

作者： T. Shang Q. F. Zhan H. L. Yang Z. H. Zuo Y. L. Xie Y. Zhang L. P. Liu B. M. Wang Y. H. Wu S. Zhang Run-Wei Li Key Laboratory of Magnetic Materials and Devices Ningbo Institute of Material Technology and Engineering Chinese Academy of Sciences Ningbo Zhejiang 315201 China Laboratory of Magnetic Materials and Application Technology Ningbo Institute of Material Technology and Engineering Chinese Academy of Sciences Ningbo 315201 China Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 117583 Singapore Department of Physics University of Arizona Tucson Arizona 85721 USA

We report an investigation of transverse Hall resistance and longitudinal resistance on Pt thin films sputtered on epitaxial LaCoO3 (LCO) ferromagnetic insulator films. The LaCoO3 films were deposited on several single crystalline substrates [LaAlO3,(La,Sr)(Al,Ta)O3, and SrTiO3] with (001) orientation. The physical properties of LaCoO3 films were characterized by the measurements of magnetic and transport properties. The LaCoO3 films undergo a paramagnetic to ferromagnetic (FM) transition at Curie temperatures ranging from 40 to 85 K, below which the Pt/LCO hybrids exhibit significant extraordinary Hall resistance up to 50 mΩ and unconventional magnetoresistance ratio Δρ/ρ0 about 1.2×10−4, accompanied by the conventional magnetoresistance. The observed spin transport properties share some common features as well as some unique characteristics when compared with well-studied Y3Fe5O12-based Pt thin films. Our findings call for new theories since the extraordinary Hall resistance and magnetoresistance cannot be consistently explained by the existing theories.

关键词： MAGNETORESISTANCE HALL effect PLATINUM LANTHANUM compounds THIN films EPITAXY

来源：评论

学校读者我要写书评

暂无评论

An unsupervised model for classification and recognition of household appliances

引用

Journal of Computational Information Systems 2014年第1期10卷 403-410页

作者： Liu, Li Ding, Jiaman Zhong, Jiayu Fu, Xiaodong Lv, Yang Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming 650500 China State-Province Joint Laboratory of Digital Home Interactive Applications School of Information Science and Technology Sun Yat-Sen University Guangzhou 510006 China

Detecting and monitoring the numerous household appliances in smart home is significant for home energy management, because the large various household appliances are complicated to identify and control. This paper proposes an intelligent unsupervised model for the classification and recognition of household appliances. The key idea in this work is to integrate appliance and activity recognition mechanism for effective management and operation within a domestic location. We first present the corresponding classification list of household appliances w. r. t their respective usage patterns and basic power factors. Then, the communication services among various appliances are established to recognize complex appliances and monitor the variation of their states. Finally, the proposed method is applicable for an inexpensive, unsupervised controlling of electrical appliances in a real-time way. Experimental results show that our method effectively provides a financially viable and easily applicable solution for gathering information and monitoring status of diverse household appliances. Copyright © 2014 Binary Information Press.

关键词： Domestic appliances

来源：评论

学校读者我要写书评

暂无评论

Efficient data-intensive processing in cloud computing environment

Efficient data-intensive processing in cloud computing envir...

引用

2013 International Conference on Communication technology, ICCT 2013

作者： Ding, Jiaman Du, Yi Wang, Qingxin Jiang, Ying Yunnan Provincial Key Laboratory of Computer Technology Application Kunming University of Science and Technology Kunming China City College Kunming University of Science and Technology Kunming China

ISBN: (纸本)9781845648633

In order to solve the efficiency problem about the data-intensive query join in cloud computing environment, a Shrink-Semis Join for Cloud Computing (SSJFCC) method for data-intensive was proposed. This paper firstly analyzed and compared the bottlenecks of existing query join algorithm in the cloud computing environment. Secondly, aiming to shrink semi-results data from join process, five algorithms of SSJFCC method were designed. Finally, the improvement method had been implemented based on Hadoop framework. Experiments show that this method significantly reduced the network transmission data quantity and join computing time-consuming, and improved the data-intensive query efficiency. © 2014 WIT Press.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Research in video detection of lane curve and its application in speed alert system

引用

Research Journal of Applied Sciences, Engineering and technology 2014年第5期7卷 957-962页

作者： Song, Maliang Liu, Xiaoyan Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan Province 650500 China Yunnan Provincial Key Laboratory of Computer Application Technology Yunnan Province 650500 China

That vehicles travel on a curve with excessive speed tends to skid or roll over. This study presents research in video recognition technology of lane and its application in traffic early safety alert system, which improves traffic safety. In our study, we use a monocular camera to acquire the image of the road ahead. Techniques such as gray-scale transformation, filtering, edge detection and curve fitting are used for the recognition of the lane line and curve fitting. Then radius of curvature of the road ahead will be extracted and then the maximum safe speed, which is to be compared with the speed of the vehicle in safety alert system. Experiments show that this method can accurately calculate the radius of the curve ahead and timely give alert message when the vehicle's speed exceeds safe speed. © Maxwell Scientific Organization, 2014.

关键词： computer image processing Coordinate transform Monocular vision Speed alert

来源：评论

学校读者我要写书评

暂无评论

An improved biclustering algorithm for gene expression data

引用

Open Cybernetics and Systemics Journal 2014年第1期8卷 1141-1144页

作者： Jin, Sheng-Hua Hua, Li School of Computer Engineering Huaiyin Institute of Technology HuaianJiangsu223003 China Huaian key Laboratory of the Study and Application of Internet of Things HuaianJiangsu223003 China Jiangsu “Internet of Things” Mobile Internet Technology Engineering laboratory HuaianJiangsu223003 China

Cheng-Church (CC) biclustering algorithm is the popular algorithm for the gene expression data mining at present. Only find one biclustering can be found at one time and the biclustering that overlap each other can hardly be found when using this algorithm. This article puts forward a modified algorithm for the gene expression data mining that uses the middle biclustering result to conduct the randomization process, digging up more eligible biclustering data. It also raised a parallel computing method that uses the multi-core processor or cluster environment to improve efficiency. It is proved by experimental verification that the modified algorithm enhances the precision and efficiency of the gene expression data mining to a certain degree. © Jin and Hua;Licensee Bentham Open.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

A parallel genetic algorithm based on opencl in resolving 0/1 knapsack problems 2

A parallel genetic algorithm based on opencl in resolving 0/...

引用

2nd International Conference on Materials, Transportation and Environmental Engineering, CMTEE 2014

作者： Chang, Long Shi, Lin Information Engineering and Automation School Kunming University of Science and Technology China Yunnan Provincical Computer Application Key Laboratory Kunming University of Science and Technology China

ISBN: (纸本)9783038352488

This paper mainly focused on 0/1 knapsack problems based on the genetic algorithm (GA). According to characteristics of the individual independence in GA, a parallel segmentation method was presented using the OpenCL technology in resolving the 0/1 knapsack problems. Moreover, the local memory was partially optimized in the statistical operation of GA. Experiment results in comparing serial and parallel algorithm implementations showed that the parallel algorithm implementation was operative and the execution time of the parallel algorithm implementation increased linearly according to the increment of problem scale. By comparing the execution time of implementations on CPU and GPU under various individuals and iterations conditions, the effects on CPU and GPU of this method were also analyzed. © (2014) Trans Tech Publications, Switzerland.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Behaviour analysis using mutual inuences

引用

Journal of Computational Information Systems 2014年第21期10卷 9143-9151页

作者： Yu, Mei Du, Yu Hou, Dejun Zhou, Jing Lei, Ting School of Computer Science and Technology Tianjin University Tianjin China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University Tianjin China Office of State-owned Assets and Equipment Management Tianjin University Tianjin China

Social network analysis has received enormous attention in recent years, owing to the success of online social networking sites. This trend leads to the generation of a wealth of social network data. Therefore, the potential research impact of these techniques is still largely unexplored. In this article we address the problem of behavior analysis of huge amounts of data produced in social networks. Such a problem arises naturally in data analysis industry where one aims to understand users' tastes with multiple traces from his history of surfing the net as correctly as possible. In each phase we present a brief overview of the problem, describe state-of-the art approaches, transform the model to deal with massive data examples, and map each of the topics to a behavior analysis framework. Furthermore, two probability analysis methods are compared to handle the situations what are really the users' interest and to what extent that users' privacy via online social network will be disclosed. We then investigate into applications of our algorithm to community user tastes analysis. In addition, experimental results on challenging real-world datasets show that the risk assessment capability of our proposed algorithm is effective. The main contribution of the article is to propose a state-of-the-art conversion of current techniques while providing a critical perspective on behavior analysis applications of social network analysis and data mining.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：