检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

93 篇 会议
20 篇 期刊文献

馆藏范围

113 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

72 篇 工学
- 46 篇 计算机科学与技术...
- 42 篇 软件工程
- 19 篇 信息与通信工程
- 15 篇 机械工程
- 8 篇 电气工程
- 7 篇 电子科学与技术（可...
- 5 篇 控制科学与工程
- 4 篇 仪器科学与技术
- 4 篇 化学工程与技术
- 4 篇 生物医学工程（可授...
- 4 篇 生物工程
- 2 篇 建筑学
- 2 篇 土木工程
- 2 篇 轻工技术与工程
33 篇 理学
- 23 篇 数学
- 9 篇 统计学（可授理学、...
- 5 篇 物理学
- 4 篇 生物学
- 4 篇 系统科学
- 3 篇 化学
- 2 篇 地球物理学
20 篇 管理学
- 16 篇 图书情报与档案管...
- 5 篇 管理科学与工程(可...
2 篇 法学
- 1 篇 法学
- 1 篇 社会学
2 篇 医学
- 2 篇 基础医学(可授医学...
- 2 篇 临床医学
- 2 篇 药学(可授医学、理...
1 篇 教育学
- 1 篇 心理学(可授教育学...
1 篇 文学
- 1 篇 中国语言文学

主题

11 篇 feature extracti...
7 篇 face recognition
7 篇 educational inst...
7 篇 semantics
6 篇 sentiment analys...
6 篇 accuracy
6 篇 training
5 篇 fuzzy clustering
4 篇 conferences
4 篇 support vector m...
4 篇 computational mo...
4 篇 blogs
3 篇 three-dimensiona...
3 篇 xml
3 篇 fuzzy inference
3 篇 twitter
3 篇 data mining
3 篇 speech recogniti...
3 篇 databases
3 篇 neural network m...

机构

27 篇 anhui province k...
21 篇 school of comput...
20 篇 anhui province k...
7 篇 affective comput...
5 篇 institute of art...
5 篇 hefei university...
4 篇 faculty of engin...
4 篇 hefei university...
4 篇 university of el...
4 篇 the university o...
4 篇 the university o...
4 篇 intelligent inte...
4 篇 school of comput...
4 篇 engineering rese...
4 篇 anhui province k...
3 篇 school of comput...
3 篇 faculty of engin...
3 篇 the japan federa...
3 篇 anhui province k...
3 篇 university of to...

作者

34 篇 fuji ren
22 篇 ren fuji
19 篇 min hu
17 篇 hu min
13 篇 sun xiao
13 篇 xiaohua wang
12 篇 xiao sun
8 篇 tang yiming
7 篇 changqin quan
7 篇 wang xiaohua
7 篇 wang wei
6 篇 tian chen
6 篇 wei wang
6 篇 chen tian
5 篇 liu jun
5 篇 chengcheng li
5 篇 wu xi
4 篇 chao jin
4 篇 fang fang
4 篇 jun liu

语言

109 篇 英文
3 篇 其他
1 篇 中文

检索条件"机构=The Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine"

共 113 条记录，以下是81-90 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

WeWatch: Bi-screen video watching experience on smart devices

WeWatch: Bi-screen video watching experience on smart device...

引用

IEEE International Conference on Cloud computing and Intelligence Systems (CCIS)

作者： Fuji Ren Mengni Chen Yu Gu Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology China Dept. of Information Science & Intelligent Systems Univ. of Tokushima Japan

ISBN: (纸本)9781467369541

The high resolution and widescreen mobile devices have tremendous applications in our daily lives. In this paper, we demonstrate a specific bi-screen video sharing application called WeWatch that a high resolution video is played across screens of two mobile devices. It helps users to enhance their watching experience on the Android system. In order to efficiently use idle mobile devices, we develop a novel algorithm to share videos with devices with different screen sizes and resolutions. Our research provides a method which automatically controls videos based on different distances between devices. The distance is determined by the empirical WiFi RSSI values obtained through the experimental studies. We have prototyped the system and conducted a real-world energy efficiency and user experience evaluations. Results show that WeWatch has negligible impact on battery lifetime while over 80% users like our application.

关键词： Aggregates Smart phones Servers Information services Electronic publishing Internet

来源：评论

学校读者我要写书评

暂无评论

IMAGE RESTORATION METHOD SELF-ADAPTIVE TO THE DIELECTRIC LAYER COLOR

IMAGE RESTORATION METHOD SELF-ADAPTIVE TO THE DIELECTRIC LAY...

引用

2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Tian Chen Xin Yi Dandan Shen Fuji Ren Wei Wang Bingdong Yang Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology School of Computer and Information Hefei University of Technology The University of Tokushima 770-8506Japan

This paper put forwards a new single image restoration method which is self-adaptive to the dielectric layer *** method is used to solve the problem that existing single image visibility restoration method has limited adaptability for dielectric layer color in image acquisition ***,the method can remove influence caused by propagation medium layer from input image,realizing visibility restoration of the input *** show hazy image restoration method proposed by this paper has better adaption ability for dielectric layer color and recover an image.

关键词： Image Restoration Self-Adaptive Dielectric Layer Color Defogging

来源：评论

学校读者我要写书评

暂无评论

FRUIT RECOGNITION BASED ON MULTI-FEATURE AND MULTI-DECISION

FRUIT RECOGNITION BASED ON MULTI-FEATURE AND MULTI-DECISION

引用

2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiaohua Wang Wei Huang Chao Jin Min Hu Fuji Ren Affective Computing and Advanced Intelligent Machines Anhui Key Laboratory School of Computer and Information Hefei University of Technology

In order to overcome the existing fruit recognition method only for single feature recognition which leads the problem of lower recognition rate,this paper proposes a recognition method based on multi-feature and ***,we preprocess the fruit image which is to be classified,separateing foreground and background,and then we divide the target ***,in order to take full advantage of multi-independence and complementarity between features,we extract the color,shape and texture of fruits image and put these features into the BP neural network to ***,the results of different features are put into the decision-making mechanisms to obtain a final recognition *** experiment results on object library and self-built library that is built by ourselves show that the method has good identification ability to fruit recognition and achieve the goal to identify different fruit.

关键词： fruit features BP neural network multi-feature multi-decision

来源：评论

学校读者我要写书评

暂无评论

A Connected Component-Based Distributed method for overlapping community detection

A Connected Component-Based Distributed method for overlappi...

引用

International Conference on computing and Networking Technology (ICCNT)

作者： Tian Chen Kai Liu Xin Yi Dandan Shen Wei Wang Fuji Ren Jun Liu Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei AnHui Agricultural University Hefei School of Computer and Information Hefei University of Technology Hefei The University of Tokushima Japan

ISBN: (纸本)9781479926978

In order to find the overlapping community structure more quickly and accurately in complex network, this paper proposes a Connected Component-Based Distributed method (CCBD) for overlapping community detection. CCBD first divides edges set in the network into smaller one. Next, it seeks out connected component using distributed platforms and gives a serials number to them according to certain rules. Then, it classifies these connected components according to the serials number. Task nodes determine whether any two connected components and non-propagating edges can be connected to become a larger community. Finally, CCBD negotiates a new serials name for the new community. Through repeated iterations, we get the community structure in the network. Nodes belong to multiple communities are overlapping nodes. Experiment results show that CCBD has higher time efficiency benefiting from distributed computing. Moreover, the quality of communities detected by CCBD surpasses those found by other algorithms.

关键词： Communities Algorithm design and analysis Educational institutions Complex networks Clustering algorithms Distributed computing Complexity theory

来源：评论

学校读者我要写书评

暂无评论

Expression image preprocessing based on wavelet transform

Expression image preprocessing based on wavelet transform

引用

IEEE International Conference on Robotics and Biomimetics

作者： Changqin Quan Xiaoming Xu Fuji Ren The Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China P.R Hefei University of Technology Hefei Anhui CN The University of Tokushima Tokushima Japan

ISBN: (纸本)9781479973989

In this paper, we present a new image preprocessing method which is based on Wavelet Transform. Before we extract expression texture information, Wavelet transform will be applied to remove partial high frequency information. And then Gabor Transform will be used to extract expression information. At last we chose the Support Vector machine to classify facial expressions. Experiments on the Japanese Female Facial Expression (JAFFE) Database illustrate that the Wavelet Transform and Gabor features are effective for facial expression discrimination. Additionally, the experiment results validate the feasibility of this method.

关键词： Decision support systems Conferences Robots Biomimetics XML Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Dynamic facial expression recognition based on K-order emotional intensity model

Dynamic facial expression recognition based on K-order emoti...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Changqin Quan Yao Qian Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China P.R. The Japan Federation of Engineering Societies University of Tokushima Shinkura-cho Tokushima Japan

ISBN: (纸本)9781479973989

With the development of artificial intelligence and pattern recognition, facial expression recognition plays a more and more important role in intelligent human-computer interaction. In this paper, we present a model named K-order emotional intensity model (K-EIM) which is based on K-Means clustering. Different from other related works, the proposed approach can quantify emotional intensity in an unsupervised way. And then the output from K-EIM is encoded. The coding results are used for the dynamic facial expression recognition. The experiment is conducted on Cohn-Kanade facial expression database and the support vector machine classifier is used for facial expression classification. This method achieved a dynamic facial expression recognition accuracy of 88.32% which suggest that the proposed method shows better performance and proves its validity. Moreover, effect of different segments of emotional intensity is also discussed in the paper.

关键词： Face recognition Encoding Accuracy Emotion recognition Principal component analysis Training Feature extraction

来源：评论

学校读者我要写书评

暂无评论

MINING THE IMPACT OF SOCIAL NEWS ON THE EMOTIONS OF USERS BASED ON DEEP MODEL

MINING THE IMPACT OF SOCIAL NEWS ON THE EMOTIONS OF USERS BA...

引用

2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiao Sun Fei Gao Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and InformationHefei University of Technology Faculty of Engineering University of Tokushima2-1 Minami-JosanjimaTokushima 770-8506Japan

ISBN: (纸本)9781467369541

In this paper,Deep Belief Nets(DBN) model and Support Vector machine(SVM) are used to mine the features hidden in social news,which can influence the emotions of *** feature selection methods for text modeling are used to build the input vectors of DBN,with the purpose of keeping the text information to the greatest *** take advantage of the deep features abstracted by DBN to build social news text *** the same time,three optimal models are used as inputs of SVM to train and classify the social *** get a conclusion that DBN not only reduces the dimension of original features,but also makes the abstracted features with more text information and shows better performance in determining the influence on people' s emotions by social news.

关键词： Deep Belief Network(DBN) Restricted Boltzmann machine(RBM) Impacts on Emotion Social News

来源：评论

学校读者我要写书评

暂无评论

NEW WORD DETECTION AND EMOTIONAL TENDENCY JUDGMENT BASED ON MIXED MODEL

NEW WORD DETECTION AND EMOTIONAL TENDENCY JUDGMENT BASED ON ...

引用

2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiao Sun Chongyuan Sun Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and InformationHefei University of Technology Faculty of Engineering University of Tokushima2-1 Minami-JosanjimaTokushima 770-8506Japan

ISBN: (纸本)9781467369541

The paper studies a new method for Chinese new word detection and emotional tendency judgment based on mixed model and proposes a new word generation *** we construct conditional random fields(CRFs) to recognize the new words,lead-in features based on character combined with the crowd sourcing network *** then express word as a word vector based on neural network language model(NNLM) to judge the new word emotional *** experimental results show that the method can improve the precision and recall of the new word detection with a good system performance,and it also provides a new way for forecasting the public mood.

关键词： New Word Detection Conditional Random Fields Emotional Tendency Judgment Neural Network Language Model

来源：评论

学校读者我要写书评

暂无评论

Fruit recognition based on multi-feature and multi-decision

Fruit recognition based on multi-feature and multi-decision

引用

IEEE International Conference on Cloud computing and Intelligence Systems (CCIS)

作者： Xiaohua Wang Wei Huang Chao Jin Min Hu Fuji Ren School of Computer and Information Hefei University of Technology Anhui China Affective Computing and Advanced Intelligent Machines Anhui Key Laboratory The University of Tokushima Japan

ISBN: (纸本)9781467369541

In order to overcome the existing fruit recognition method only for single feature recognition which leads the problem of lower recognition rate, this paper proposes a recognition method based on multi-feature and multi-decision. Firstly, we preprocess the fruit image which is to be classified, separating foreground and background, and then we divide the target area. Secondly, in order to take full advantage of multi-independence and complementarity between features, we extract the color, shape and texture of fruits image and put these features into the BP neural network to classify. Finally, the results of different features are put into the decision-making mechanisms to obtain a final recognition result. The experiment results on object library and self-built library that is built by ourselves show that the method has good identification ability to fruit recognition and achieve the goal to identify different fruit.

关键词： machine vision Image recognition Image segmentation Image color analysis Shape Image resolution

来源：评论

学校读者我要写书评

暂无评论

MODELING BLOG USER FOR CHINESE MICRO-BLOG SENTIMENT CLASSIFICATION WITH FUZZY SVM

MODELING BLOG USER FOR CHINESE MICRO-BLOG SENTIMENT CLASSIFI...

引用

2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiao Sun Chengcheng Li Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and InformationHefei University of Technology Faculty of Engineering University of Tokushima2-1 Minami-JosanjimaTokushima 770-8506Japan

ISBN: (纸本)9781467369541

Micro-blog is easily posted and communicated because of its short text ***,its brevity limits the feature *** paper presents a blogger modeling method for Chinese micro-blog sentiment *** paper would adopt a multidimensional strategy to accomplish the feature extraction *** with traditional feature extraction methods and combined with the interactive property of blog,the blog comment will be considered as the performance characteristic of micro-blog emotion *** comes to comments content and the relationship between commentators and micro-bloggers while it extracts the micro blogging text *** last,the paper adopts fuzzy SVM model to reduce the sensation of noise points and outliers on classification *** results demonstrate the effectiveness of the multidimensional feature extraction method on sentiment classification and the classify effect of fuzzy SVM is better than SVM.

关键词： sentiment classification multidimensional fuzzy SVM

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共12页 << < 3 4 5 6 7 8 9 10 11 12 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：