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

258 篇 会议
127 篇 期刊文献

馆藏范围

385 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

243 篇 工学
- 183 篇 计算机科学与技术...
- 151 篇 软件工程
- 63 篇 信息与通信工程
- 27 篇 电气工程
- 27 篇 生物工程
- 25 篇 控制科学与工程
- 22 篇 电子科学与技术（可...
- 21 篇 机械工程
- 20 篇 光学工程
- 12 篇 仪器科学与技术
- 11 篇 化学工程与技术
- 10 篇 动力工程及工程热...
- 10 篇 交通运输工程
- 10 篇 生物医学工程（可授...
- 8 篇 环境科学与工程（可...
- 7 篇 土木工程
- 7 篇 安全科学与工程
- 6 篇 建筑学
139 篇 理学
- 86 篇 数学
- 32 篇 统计学（可授理学、...
- 29 篇 生物学
- 26 篇 物理学
- 11 篇 化学
- 7 篇 系统科学
76 篇 管理学
- 44 篇 管理科学与工程(可...
- 33 篇 图书情报与档案管...
- 22 篇 工商管理
20 篇 法学
- 17 篇 社会学
11 篇 医学
- 10 篇 临床医学
7 篇 经济学
- 7 篇 应用经济学
3 篇 教育学
3 篇 农学

主题

30 篇 feature extracti...
16 篇 semantics
11 篇 optimization
9 篇 image segmentati...
9 篇 cloud computing
9 篇 data models
9 篇 training
8 篇 deep learning
8 篇 predictive model...
7 篇 reinforcement le...
7 篇 big data
7 篇 data mining
7 篇 machine learning
6 篇 task analysis
6 篇 contrastive lear...
6 篇 computational mo...
6 篇 particle swarm o...
6 篇 genetic algorith...
6 篇 clustering algor...
6 篇 computer vision

机构

63 篇 college of compu...
62 篇 college of mathe...
38 篇 fujian provincia...
37 篇 fujian key labor...
26 篇 fujian key labor...
20 篇 engineering rese...
18 篇 fujian provincia...
17 篇 key laboratory o...
15 篇 fujian provincia...
11 篇 key laboratory o...
11 篇 key laboratory o...
9 篇 key laboratory o...
8 篇 fuzhou universit...
7 篇 shandong college...
7 篇 shandong provinc...
7 篇 peng cheng labor...
7 篇 college of mathe...
7 篇 fujian provincia...
7 篇 fujian provincia...
7 篇 school of inform...

作者

29 篇 guo wenzhong
20 篇 guo kun
14 篇 wenzhong guo
13 篇 xing chen
13 篇 xianghan zheng
12 篇 wang shiping
12 篇 chen xing
11 篇 yu zhiyong
10 篇 guolong chen
9 篇 xiao ke
9 篇 li jinping
8 篇 niu yuzhen
8 篇 xiaodong wu
8 篇 zheng xianghan
8 篇 ke xiao
8 篇 yanhua liu
8 篇 chen yuzhong
8 篇 wu ling
7 篇 huang fangwan
7 篇 dong chen

语言

369 篇 英文
14 篇 中文
7 篇 其他

检索条件"机构=Fujian Key Laboratory of Network Computing and Intelligent Information Processing"

共 385 条记录，以下是121-130 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：

Spatio-Temporal Context Modeling for Road Obstacle Detection 1

引用

4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Wu, Xiuen Wang, Tao Liang, Lingyu Li, Zuoyong Ching, Fum Yew College of Computer and Data Science Fuzhou University Fuzhou350108 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350108 China The Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions Wuyi University Wuyishan354300 China School of Electronic and Information Engineering South China University of Technology Guangzhou510641 China Ministry of Education Key Laboratory of Computer Network and Information Integration Southeast University Nanjing211189 China Guangzhou510320 China Penang11800 Malaysia

ISBN: (数字)9783031200960

ISBN: (纸本)9783031200953

Road obstacle detection is an important problem for vehicle driving safety. In this paper, we aim to obtain robust road obstacle detection based on spatio-temporal context modeling. Firstly, a data-driven spatial context model of the driving scene is constructed with the layouts of the training data. Then, obstacles in the input image are detected via the state-of-the-art object detection algorithms, and the results are combined with the generated scene layout. In addition, to further improve the performance and robustness, temporal information in the image sequence is taken into consideration, and the optical flow is obtained in the vicinity of the detected objects to track the obstacles across neighboring frames. Qualitative and quantitative experiments were conducted on the Small Obstacle Detection (SOD) dataset and the Lost and Found dataset. The results indicate that our method with spatio-temporal context modeling is superior to existing methods for road obstacle detection. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

An Accurate Visual Navigation Method for Wheeled Robot in Unstructured Outdoor Environment Based on Virtual Navigation Line

An Accurate Visual Navigation Method for Wheeled Robot in Un...

引用

International Conference on Image, Vision and intelligent Systems, ICIVIS 2021

作者： Liang, Zhen Fang, Tiyu Dong, Zihao Li, Jinping School of Information Science and Engineering Jinan250022 China Shandong Provincial Key Laboratory of Network-Based Intelligent Computing Jinan250022 China Shandong College and University Key Laboratory of Information Processing and Cognitive Computing in 13th Five-Year Jinan250022 China

ISBN: (纸本)9789811669620

For the navigation problem in unstructured outdoor environment such as the field without artificial marks, a precise vision navigation method for wheeled robot based on virtual navigation line is proposed. Virtual navigation line is a virtual line based on a small amount of visual information, which can be used in many complex environments. Firstly, the robot needs to design the shape of the walking route. And the general robot’s walking routes can be divided into linear route and curve route. Secondly, different virtual navigation line strategies are generated for different walking routes. In the linear navigation part, the virtual navigation line is determined according to the tracking target and the reference target generated. In the curve navigation part, the curve virtual navigation line is fitted according to the multiple targets. Then, the virtual calibration line is determined based on the camera pitch angle, field of view (FOV) and the horizon position in the image, the offset angle and offset distance are computed by using the geometric relationship between virtual calibration line and virtual navigation line. Finally, the fuzzy PID control method is applied to correct robot's direction. The Pioneer3-DX robot is used to do experiments in the outdoor field. The results show that our method can make the robot walk along the designed route in the unstructured outdoor environment accurately, and the navigation accuracy is within 10 cm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Navigation

来源：评论

学校读者我要写书评

暂无评论

A Mix-model based Deep Learning for Text Sentiment Analysis

A Mix-model based Deep Learning for Text Sentiment Analysis

引用

International Conference on Cloud computing, Big Data and Blockchain (ICCBB)

作者： Qingfeng Pan Xianghan Zheng Guolong Chen Fujian Key Laboratory of Network Computing and Intelligent Information Processing College of Mathematics and Computer Science Fuzhou China

ISBN: (纸本)9781728112787

In recent years, with the rapid development of the Internet, a large number of emotional color data on commodities, events and services contain great value of mining. Traditional text sentiment analysis has been unable to effectively deal with the increasingly rich semantic information and it relies much on feature engineering. Manual features extraction consumes a lot of effort and it's hard to cover all the information. Deep learning has strong ability to fit nonlinear functions, it can dig deeper features of language, describe the rich inner information, which has good applicability and powerful expression. Aim at the problems that single neural network model can't fully extract features, the paper construct a bidirectional dynamic mixed memory model of text sentiment analysis based on deep learning. Firstly, using word embedding to represent the ***, building the combination of convolutional neural network and recurrent neural network, through the model fusion and the cascade configuration of memory cells, extracting features from different dimensions. Finally, adding the attention mechanism to weighted mean for output, capture the key information of text. The results show that the model can better make full use of the context of text, extract deeper features, and improve the accuracy of text analysis.

关键词： convolutional neural nets feature extraction learning (artificial intelligence) recurrent neural nets sentiment analysis text analysis recurrent neural nets text processing Feature extraction texts Sentiment analysis cascade configuration nonlinear functions Weighted Average immunocytes

来源：评论

学校读者我要写书评

暂无评论

A forensics tool of Foxmail client

A forensics tool of Foxmail client

引用

International Conference on Systems and Informatics (ICSAI)

作者： Lili Xie Guolong Chen College of Mathematics and Computer Science Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781479954599

Computer forensics is an important part of the computer crime investigation. So a Forensics system aimed to Foxmail data analysis and investigation is proposed in this paper. The system can index the email data based on Lucene technology and the MMSeg participle algorithm, and provides the full text retrieval of the email content function. Subsequently, a visual communication graph would be generated according to the retrieval results. Based on the communication graph, an algorithm on graphic structure analysis is proposed, and by means of centrality and minimum traffic filtering method, multilevel analysis is carried out on the graph, which can detect the possible suspicious personnel and their relationships and provide strong support for the computer crime investigation.

关键词： Electronic mail Forensics Postal services Indexes Filtering Personnel Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

A Novel Method for Spammer Detection in Social networks

A Novel Method for Spammer Detection in Social Networks

引用

The Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(ICSDM 2015)

作者： Xueying Zhang Xianghan Zheng College of Mathematics and Computer Science Fuzhou University Fujian Key Laboratory of Network Computing and Intelligent Information Processing

ISBN: (纸本)9781479977505

Online social networks have played an important role in people's common life. Most existing social network platforms,however, face the challenges of dealing with undesirable users and their malicious spam activities that disseminate content,malware, viruses, etc. to the legitimate users of the service. In this paper, an Extreme Learning Machine based supervised machine is proposed for effective spammer detection. The experiment and evaluation show that the proposed solution provides excellent performance with a true positive rate of spammers and non-spammers reaching 99% and 99.95%,respectively. As the results suggest, the proposed solution could achieve better reliability and feasibility compared with existing SVM based approaches.

关键词： Social network Spammer Machine learning Extreme learning machine

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Based Social Media Recommendation

Machine Learning Based Social Media Recommendation

引用

The Second IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(ICSDM 2015)

作者： Taiping Lai Xianghan Zheng College of Mathematics and Computer Science Fuzhou University Fujian Key Laboratory of Network Computing and Intelligent Information Processing

ISBN: (纸本)9781479977505

In view of the problems existing in traditional recommendation algorithm of low accuracy and low efficiency, this paper presents a machine learning based social media recommendation algorithm. The algorithm is based on the traditional personalized collaborative filtering algorithm, and combines with the correlation characteristics among users in a social network. Besides, the algorithm also considers the network rating factors and upgrade its efficiency by using clustering algorithm. At last, the algorithm is realized on the Hadoop cloud platform.

关键词： Social network Recommendation Clustering Collaborative Filtering MapReduce

来源：评论

学校读者我要写书评

暂无评论

Design and Realization of MATLAB-based Face Recognition System

Design and Realization of MATLAB-based Face Recognition Syst...

引用

1st International Conference on Advanced Algorithms and Control Engineering, ICAACE 2018

作者： Liu, Jianming College of Mathematics and Computer Science Quanzhou Normal University Fujian Quanzhou362000 China Key Laboratory of Intelligent Computing and Information Processing Fujian Province University Quanzhou Normal University Fujian Quanzhou362000 China

Through MATLAB, the paper makes a comparison between Principal Component Analysis (PCA)face recognition algorithm and Adaboost recognition algorithm and selects the algorithm with higher recognition rates to develop an auto face recognition system. The paper explicates primary techniques the system adopts and its specific realization process. By downloading face database online, the paper conducts an all-round test to the system, the result of which proves that this face recognition system is completely practical and feasible. © Published under licence by IOP Publishing Ltd.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Mobile Crowd-Sensing System Based on Participant Selection 15th

Mobile Crowd-Sensing System Based on Participant Selection

引用

15th International Conference on Green, Pervasive, and Cloud computing, GPC 2020

作者： Tu, Chunyu Han, Lei Wang, Leye Yu, Zhiyong College of Mathematics and Computer Science Fuzhou University Fuzhou China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China Key Laboratory of Spatial Data Mining and Information Sharing Ministry of Education Fuzhou China Key Lab of High Confidence Software Technologies Peking University Beijing China

ISBN: (纸本)9783030642426

Mobile Crowdsensing (MCS) is often accompanied by various adverse objectives when performing data collection, which makes it difficult to collect accurate data of the entire target area with low cost. Therefore, how to collect a small part of the data to accurately infer the other data of the entire target area is a crucial issue. People’s daily trajectories usually follow a certain pattern, for example, students go to school, company employees go to work. This pattern allows us to find participants who often pass through fixed areas within a certain time span, leading their collected partial data are near optimal for the entire data collection task. This paper models the problem and develops multiple methods to improve the participant selection and the data recovery. Particularly, we use a random method, reinforcement learning, and greedy algorithm to handle this problem and compare the differences among these methods by experiments. © 2020, Springer Nature Switzerland AG.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

A Two-Stage Graph Computation Model with Communication Equilibrium 15th

A Two-Stage Graph Computation Model with Communication Equil...

引用

15th CCF Conference on Computer Supported Cooperative Work and Social computing, Chinese CSCW 2020

作者： Dong, Yanmei Chen, Rongwang Guo, Kun College of Mathematics and Computer Science Fuzhou University Fuzhou350108 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou China Key Laboratory of Spatial Data Mining and Information Sharing Ministry of Education Fuzhou350108 China College of Mathematics and Computer Science Wuyi University Wuyishan Fujian354300 China Digital Fujian Tourism Big Data Institute Wuyishan Fujian354300 China

ISBN: (纸本)9789811625398

Distributed graph computing aims at performing in-depth analysis on large networks in a parallel manner. Iterative communication computation is an important model to perform graph analysis. Moreover, high-efficiency iterative communication computation is necessary for assuring the quality of graph partitioning. Many strategies to improve graph computing are usually based on the hypothesis of single communication iteration which focuses on the optimization of load balance in a single graph partitioning and the improvement of parallel granularity or communication manners. However, a graph in the real-world usually requires complex communication iterations to achieve good analysis results, which often have the problems of data and communication tilting and low analysis efficiency. In this paper, we propose a two-stage graph computing model with communication equilibrium (TSMCE). The model employs a communication-equilibrated graph partitioning strategy (CEGP) for load balancing and a two-stage graph computing mode (TS) to reduce the crossing-partition communication. With the change of graph density, various factors such as load balancing, communication balancing, cross-partition transmission traffic, communication delay, and convergence speed can always maintain an efficient balance. The experiments conducted on the real-world datasets show that the communication-equilibrated graph partitioning strategy can divide a graph with high quality compared with Hash and Metis. Besides, the overall performance of our two-stage graph computing model with communication equilibrium is higher than that of the BSP model. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Efficiency

来源：评论

学校读者我要写书评

暂无评论

Multi-Granularity Feature Distillation Learning network for Fine-Grained Visual Classification

Multi-Granularity Feature Distillation Learning Network for ...

引用

Image processing, Computer Vision and Machine Learning (ICICML), International Conference on

作者： Yuhang Cai Xiao Ke Fujian Key Laboratory of Network Computing and Intelligent Information Processing College of Computer and Data Science Fuzhou University Fuzhou Fujian China

ISBN: (纸本)9781665464697

Fine-grained visual classification (FGVC) aims to identify objects belonging to multiple sub-categories of the same super-category (such as species of birds, models of cars and aircraft). The key to solving fine-grained classification problems is to learn discriminative visual feature representation with only subtle differences. Although previous work based on refined feature learning has made great progress, however, high-level semantic features often lack key information for fine-grained visual object nuances. How to efficiently integrate semantic information of different granularities from classification networks is a Critical. In this paper, we propose Multi-Granularity Feature Distillation Learning network (MGFDL-Net). Our solution integrates multi-granularity hierarchical information through a multi-granularity fusion learning strategy to enhance feature representation. In view of the inherent challenges of large intraclass differences in FGVC, a cross-layer self-distillation regularization is proposed to strengthen the connection between high-level semantics and low-level semantics for robust multi-granularity feature learning. Comprehensive experiments show that our method achieves state-of-the-art performance on three challenging fine-grained visual classification FGVC datasets (CUB-200-2011, Stanford Cars and FGVC-Aircraft).

关键词： Representation learning Visualization Cross layer design Computer vision Image processing Semantics Birds

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39页 << < 9 10 11 12 13 14 15 16 17 18 > >>

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：