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

6,797 篇 会议
647 册 图书
127 篇 期刊文献

馆藏范围

7,570 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

3,892 篇 工学
- 3,084 篇 计算机科学与技术...
- 1,402 篇 软件工程
- 793 篇 电气工程
- 676 篇 信息与通信工程
- 502 篇 控制科学与工程
- 298 篇 生物工程
- 281 篇 生物医学工程（可授...
- 265 篇 机械工程
- 189 篇 光学工程
- 162 篇 电子科学与技术（可...
- 144 篇 仪器科学与技术
- 140 篇 化学工程与技术
- 59 篇 安全科学与工程
- 45 篇 材料科学与工程（可...
- 36 篇 交通运输工程
1,220 篇 理学
- 671 篇 数学
- 357 篇 物理学
- 333 篇 生物学
- 197 篇 统计学（可授理学、...
- 147 篇 化学
- 105 篇 系统科学
553 篇 管理学
- 314 篇 管理科学与工程(可...
- 255 篇 图书情报与档案管...
- 59 篇 工商管理
273 篇 医学
- 230 篇 临床医学
- 109 篇 基础医学(可授医学...
- 75 篇 药学(可授医学、理...
66 篇 法学
- 62 篇 社会学
51 篇 艺术学
- 49 篇 设计学（可授艺术学...
42 篇 农学
- 39 篇 作物学
21 篇 教育学
19 篇 文学
17 篇 经济学
5 篇 军事学

主题

3,167 篇 pattern recognit...
535 篇 feature extracti...
431 篇 artificial intel...
385 篇 neural networks
297 篇 machine learning
295 篇 data mining
233 篇 face recognition
224 篇 pattern matching
216 篇 support vector m...
203 篇 image segmentati...
194 篇 pattern classifi...
194 篇 computer imaging...
183 篇 computer science
182 篇 local binary pat...
168 篇 computational mo...
160 篇 computer vision
147 篇 computer applica...
147 篇 humans
147 篇 testing
143 篇 training

机构

40 篇 school of comput...
38 篇 national laborat...
25 篇 indian institute...
25 篇 institute of ima...
24 篇 center for resea...
24 篇 computer vision ...
22 篇 institute of ima...
22 篇 university of ch...
21 篇 auckland univers...
21 篇 department of co...
20 篇 city university ...
20 篇 indian statistic...
19 篇 murdoch universi...
19 篇 national laborat...
19 篇 institute of com...
18 篇 king fahd univer...
16 篇 tongji universit...
16 篇 chinese academy ...
15 篇 institute for pa...
14 篇 national center ...

作者

35 篇 yang jie
31 篇 de-shuang huang
25 篇 tieniu tan
23 篇 umapada pal
21 篇 mufti mahmud
19 篇 zohreh doborjeh
19 篇 ryszard tadeusie...
19 篇 m. tanveer
19 篇 andrew chi sing ...
19 篇 kevin wong
19 篇 liang wang
18 篇 ajith abraham
18 篇 maryam doborjeh
17 篇 marcin korytkows...
17 篇 lu hanqing
17 篇 jacek m. zurada
17 篇 leszek rutkowski
16 篇 jie yang
16 篇 zhenan sun
16 篇 shamsuddin siti ...

语言

7,289 篇 英文
216 篇 其他
81 篇 中文

检索条件"任意字段=International Conference of Soft Computing and Pattern Recognition"

共 7572 条记录，以下是1431-1440 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：

Research on Fire Detection and Image Information Processing System Based on Image Processing

Research on Fire Detection and Image Information Processing ...

引用

Advance in Ambient computing and Intelligence (ICAACI), international conference on

作者： Wentao Xiong Songzi Fire Rescue Brigade Jingzhou Songzi Hubei China

ISBN: (数字)9781728197531

ISBN: (纸本)9781728197548

In this paper, based on digital image processing technology, a series of preprocessing operations such as graying based on color components, filtering denoising, histogram equalization and so on are carried out to enhance the image effect. Then, the suspicious fire area obtained based on color component difference image is processed by threshold segmentation and edge detection. In the processing of flame image, pattern recognition technology is of great significance to the extraction of flame image. Computer vision theory is the key to fire location. With this scheme, the system can effectively eliminate the interference of distance and light intensity in fire detection, and improve the recognition accuracy.

关键词： Image segmentation Digital images Image edge detection Fires Information processing pattern recognition Monitoring

来源：评论

学校读者我要写书评

暂无评论

An efficient technique for facial expression recognition using multistage hidden markov model 2nd

An efficient technique for facial expression recognition usi...

引用

2nd international conference of the series soft computing: Theories and Applications, SoCTA 2017

作者： Rahul, Mayur Mamoria, Pushpa Kohli, Narendra Agrawal, Rashi AKTU Lucknow India Department of Computer Applications UIET CSJMU Kanpur India Department of Computer Science & Engineering HBTU Kanpur India Department of IT UIET CSJMU Kanpur India

ISBN: (纸本)9789811305887

Partition-based feature extraction is widely used in the pattern recognition and computer vision. This method is robust to some changes like occlusion, background, etc. In this paper, partition-based technique is used for feature extraction and extension of HMM is used as a classifier. The new introduced multistage HMM consists of two layers. In which bottom layer represents the atomic expression made by eyes, nose, and lips. Further upper layer represents the combination of these atomic expressions such as smile, fear, etc. Six basic facial expressions are recognized, i.e., anger, disgust, fear, joy, sadness, and surprise. Experimental result shows that proposed system performs better than normal HMM and has the overall accuracy of 85% using JAFFE database. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

Hybrid Model of Vehicle recognition Based on Convolutional Neural Network

Hybrid Model of Vehicle Recognition Based on Convolutional N...

引用

IEEE international conference on High Performance computing and Communications (HPCC)

作者： Chan Su Jianguo Wei School of software Nanchang University Nanchang China

ISBN: (纸本)9781728176499;9781728176505

With the improvement of people's living standard, the number of cars on the road has increased dramatically. Vehicle recognition is greatly significant for intelligent traffic management. In this paper, a hybrid model of vehicle recognition algorithm based on VGG16-softmax hybrid model is proposed. The convolutional neural network called VGG16 is used, Imagenet is used for pre-training, migration learning is used to migrate parameters to the new training model, variational auto-encoder is used for data reconstruction, and finally softmax multi-classifier is used for classification. Experiments show that this method can save time, get better vehicle feature of details and higher accuracy.

关键词： Training Uncertainty Transfer learning Training data Feature extraction Data models pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Control Chart pattern recognition Based on Convolution Neural Network

Control Chart Pattern Recognition Based on Convolution Neura...

引用

international conference on Smart Innovations in Communications and Computational Sciences (ICSICCS)

作者： Miao, Zhihong Yang, Mingshun Xian Univ Technol Sch Mech & Precis Instrument Engn Xian 710048 Shaanxi Peoples R China

ISBN: (纸本)9789811089718;9789811089701

Quality control chart pattern recognition plays an extremely important role in controlling the products quality. By means of real-time monitoring control, the abnormal status of the product during production can be timely observed. A method of control pattern recognition based on convolution neural network is proposed. Firstly, the control chart patterns (CCPs) are analyzed, the statistical characteristics and shape features of the control charts are considered, and the appropriate characteristics to distinguish the different abnormal patterns are selected;secondly, deep learning convolution neural network is trained and learned;finally, the feasibility and effectiveness of the control chart pattern recognition are verified through Monte Carlo simulation.

关键词： Quality control chart pattern recognition Convolution neural Network Monte Carlo Deep learning

来源：评论

学校读者我要写书评

暂无评论

Classification of Aviation Safety Reports using Machine Learning

Classification of Aviation Safety Reports using Machine Lear...

引用

international conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT)

作者： Vincent de Vries Aerospace Operations Safety Institute Royal Dutch Aerospace Centre Amsterdam Netherlands

The following topics are dealt with: airports; air traffic control; aircraft; aerospace computing; learning (artificial intelligence); transportation; decision making; data handling; air safety; image processing.

ISBN: (数字)9781728153803

ISBN: (纸本)9781728153810

关键词： aerospace computing aerospace safety aircraft pattern classification random forests text analysis aerospace safety aerospace computing text processing pattern recognition Aircraft Taxonomy aviation security aerospace industry Artificial Intelligence Machine Learning

来源：评论

学校读者我要写书评

暂无评论

pattern recognition Technique for Synthesis Fractal Petri Nets 6

Pattern Recognition Technique for Synthesis Fractal Petri Ne...

引用

6th international conference on Control, Decision and Information Technologies (CoDIT)

作者： Semenov, Alexander MAI Moscow Aviat Inst Moscow Russia

ISBN: (纸本)9781728105215

The elasticity principles have become one of the most important features of contemporary distributed systems. This novel paradigm has major consequences on Petri nets modeling. The problem is to decide whether an arbitrary Petri net satisfies the elasticity and how to make it elastic. The problem is solved by synthesis of Fractal Petri nets. Fractal Petri nets based on Iterated Algebraic System which makes possible elastic synthesis by incrementing or decrementing of original Petri net. One of the important tasks is recognition of a subnet which used as a pattern for elastic synthesis. For this purpose evolutionary classification of Petri nets based on subnets synthesis is introduced. And furthermore, algebraic operations replication and composition make elastic synthesis object-oriented. Control of the elasticity over the resources and system behavior is achieved with the use of patterns overlapping technique.

关键词： Petri nets Fractals Elasticity Object oriented modeling Concurrent computing pattern recognition Artificial neural networks

来源：评论

学校读者我要写书评

暂无评论

Comparison of pattern recognition Techniques for Classification of the Acoustics of Loose Gravel

Comparison of Pattern Recognition Techniques for Classificat...

引用

international conference on soft computing and Machine Intelligence (ISCMI)

作者： Nausheen Saeed Moudud Alam Roger G. Nyberg Mark Dougherty Diala Jomaa Pascal Rebreyend Faculty of Data & Information Sciences Dalarna University Borlänge Sweden School of Information Technology Halmstad University Halmstad Sweden

ISBN: (数字)9781728175591

ISBN: (纸本)9781728175607

Road condition evaluation is a critical part of gravel road maintenance. One of the parameters that are assessed is loose Gravel. An expert does this evaluation by subjectively looking at images taken and written text for deciding on the road condition. This method is labor-intensive and subjected to an error of judgment; therefore, it is not reliable. Road management agencies are looking for more efficient and automated objective measurement methods. In this study, acoustic data of gravel hitting the bottom of the car is used, and the relation between these acoustics and the condition of loose gravel on gravel roads is seen. A novel acoustic classification method based on Ensemble bagged tree (EBT) algorithm is proposed in this study for the classification of loose gravel sounds. The accuracy of the EBT algorithm for Gravel and Nongravel sound classification is found to be 97.5. The detection of the negative classes, i.e., non- gravel detection, is preeminent, which is considerably higher than Boosted Trees, RUSBoosted Tree, Support vector machines (SVM), and decision trees.

关键词： Roads Vegetation Classification algorithms Cameras Maintenance engineering Data collection Standards

来源：评论

学校读者我要写书评

暂无评论

CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification

CoCoNet: A Collaborative Convolutional Network applied to fi...

引用

international conference on Image and Vision computing New Zealand, IVCNZ

作者： Tapabrata Chakraborti Brendan McCane Steven Mills Umapada Pal University of Otago Computer Vision and Pattern recognition Unit Indian Statistical Institute

The following topics are dealt with: convolutional neural nets; learning (artificial intelligence); image classification; computer vision; feature extraction; video signal processing; deep learning (artificial intelli... 详细信息

ISBN: (数字)9781728185798

ISBN: (纸本)9781728185804

关键词： Training Visualization Image recognition Collaboration Computer architecture Birds Task analysis

来源：评论

学校读者我要写书评

暂无评论

Automatic Medicinal Plants Classification using Multi-channel Modified Local Gradient pattern with SVM Classifier 8

Automatic Medicinal Plants Classification using Multi-channe...

引用

Joint 8th international conference on Informatics, Electronics and Vision (ICIEV) / 3rd international conference on Imaging, Vision and pattern recognition (icIVPR) / international conference on Activity and Behavior computing (ABC)

作者： Habiba, Umme Howlader, Md Rasel Islam, Md Aminul Faisal, Rahat Hossain Rahman, Md Mostafijur Univ Barisal Dept Comp Sci & Engn Barisal Bangladesh

ISBN: (纸本)9781728107882

Most of the people in the world rely on traditional medicine which is made from medicinal plants. However, very few works concentrate on automatic classification. Therefore, the automatic classification of medicinal plants demands more investigation which is an important issue for conservation, authentication, and production of medicines. In this paper, for automatically classifying medicinal plants, we present a Multi-channel Modified Local Gradient pattern (MCMLGP), a new texture-based feature descriptor that uses different channels of color images for extracting more significant features to improve the performance of classification. We have trained our proposed approach using SVM classifier with various kernels such as linear, polynomial and HI. In addition, we have used different feature descriptors for comparative experimental analysis with MCMLGP by conducting the rigorous experiment on our own medicinal plants dataset. The proposed approach gain higher accuracy (96.11%) than other techniques, and significantly valuable for exploration and evolution of medicinal plants classification.

关键词： Image Classification Medicinal plant LGP Adaptive Threshold SVM

来源：评论

学校读者我要写书评

暂无评论

Performance evaluation of sensor information fusion system based on cloud theory and fuzzy pattern recognition

Performance evaluation of sensor information fusion system b...

引用

Information Technology,Big Data and Artificial Intelligence (ICIBA), international conference on IEEE international conference on

作者： Wenming Song Weilu Wen Qiang Guo Hao Chen Jiaqi Zhao AVIC aeronautical radio electronics research Institute Shanghai China College of Information and Communication Engineering Harbin Engineering University Harbin China College of Physics and Optoelectronic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9781728152240

ISBN: (纸本)9781728152257

The sensor information fusion system was composed of complex factors, and there was no unified quantitative standard for each factor. During the system evaluation, the existing evaluation method cannot be applied to all influencing factors, and the result of the evaluation cannot represent the true performance of the system. This paper proposed an evaluation method combining cloud theory and fuzzy pattern recognition model. Based on the cloud theory, the reasonable conversion of qualitative indicators was realized, and the uncertainty of attribute factors was evaluated indefinitely. Combined with the fuzzy pattern recognition model, an evaluation model was established for quantitative indicators, and it was comprehensively processed by fuzzy evaluation method. Evaluation examples show that the method can more accurately and objectively evaluate the performance of the system.

关键词： Indexes Target tracking pattern recognition Cloud computing Radar tracking Eigenvalues and eigenfunctions Target recognition

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500页 << < 140 141 142 143 144 145 146 147 148 149 > >>

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：