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

57 篇 会议
9 册 图书
2 篇 期刊文献

馆藏范围

68 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

47 篇 工学
- 44 篇 计算机科学与技术...
- 12 篇 软件工程
- 7 篇 电气工程
- 5 篇 信息与通信工程
- 2 篇 动力工程及工程热...
- 2 篇 控制科学与工程
- 2 篇 安全科学与工程
- 1 篇 仪器科学与技术
- 1 篇 化学工程与技术
- 1 篇 地质资源与地质工...
- 1 篇 交通运输工程
- 1 篇 核科学与技术
- 1 篇 生物医学工程（可授...
- 1 篇 生物工程
7 篇 理学
- 5 篇 数学
- 2 篇 生物学
- 2 篇 系统科学
- 2 篇 统计学（可授理学、...
- 1 篇 物理学
5 篇 管理学
- 3 篇 图书情报与档案管...
- 2 篇 管理科学与工程(可...
1 篇 法学
- 1 篇 法学
- 1 篇 社会学
1 篇 医学
- 1 篇 基础医学(可授医学...

主题

26 篇 pattern recognit...
5 篇 feature extracti...
5 篇 artificial intel...
5 篇 training
4 篇 histograms
3 篇 decision support...
3 篇 electroencephalo...
3 篇 handheld compute...
3 篇 soft computing
3 篇 clustering algor...
3 篇 user interfaces ...
3 篇 accuracy
3 篇 computer vision
3 篇 computation by a...
3 篇 image processing...
2 篇 conferences
2 篇 eigenvalues and ...
2 篇 neurons
2 篇 information syst...
2 篇 simulation and m...

机构

2 篇 cyber security r...
2 篇 cyber threat int...
1 篇 faculty of scien...
1 篇 university of so...
1 篇 research institu...
1 篇 edith cowan univ...
1 篇 department of me...
1 篇 univ ostrava ins...
1 篇 berkeley initiat...
1 篇 department of kn...
1 篇 dept. of compute...
1 篇 tech univ ostrav...
1 篇 national laborat...
1 篇 tech univ darmst...
1 篇 hiroshima univ g...
1 篇 dept. of computi...
1 篇 indian statistic...
1 篇 mrc clinical sci...
1 篇 school of inform...
1 篇 leria - ufr scie...

作者

2 篇 joo kooi tan
2 篇 yong gan
2 篇 de-shuang huang
2 篇 hyoungseop kim
2 篇 lu hanqing
2 篇 prashan premarat...
2 篇 kyungsook han
2 篇 chrisina jayne
2 篇 maarof mohd aiza...
2 篇 seiji ishikawa
2 篇 zainal anazida
2 篇 wang jinqiao
1 篇 afaf ben brahim
1 篇 ajith
1 篇 herbert t.
1 篇 jomaa diala
1 篇 ariffin nurfadil...
1 篇 hasna chaibi
1 篇 sk. md. masudul ...
1 篇 kono kazuhiro

语言

66 篇 英文
1 篇 其他
1 篇 中文

检索条件"任意字段=7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015"

共 68 条记录，以下是1-10 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：

Proceedings of the 2015 7th international conference of soft computing and pattern recognition, socpar 2015

Proceedings of the 2015 7th International Conference of Soft...

引用

7th international conference of soft computing and pattern recognition, socpar 2015

ISBN: (纸本)9781467393607

the proceedings contain 63 papers. the topics discussed include: evolutionary multi-view face tracking on pixel replaced image in video sequence;sensitivity analysis of echo state networks for forecasting pseudo-periodic time series;biography commercial serial crime analysis using enhanced dynamic neural network;the effect of using super-resolution to improve feature extraction and registration of low resolution images in sensor networks;extraction of latent concepts from an integrated human gene database;parallel genetic algorithm with social interaction for solving constrained global optimization problems;an innovative approach for feature selection based on chicken swarm optimization;a wrapper approach for feature selection based on swarm optimization algorithm inspired from the behavior of social-spiders;and water quality classification approach based on bio-inspired gray wolf optimization.

关键词：

来源：评论

学校读者我要写书评

暂无评论

8th international conference on soft computing and pattern recognition, socpar 2016

8th International Conference on Soft Computing and Pattern R...

引用

8th international conference on soft computing and pattern recognition, socpar 2016

ISBN: (纸本)9783319606170

the proceedings contain 70 papers. the special focus in this conference is on soft computing and pattern recognition. the topics include: Toward real-time high-frequency stock monitoring system using ***;sensitivity analysis on effect of biomechanical factors for classifying vertebral deformities;soft feature based personal recognition;a new form of fuzzy reasoning tool to ensure both accuracy and readability;a novel edge based image steganography technique;RDE - reconstructed mutation strategy for differential evolution algorithm;predicting mobile application ratings using artificial neural network;dimensionality reduction of sift descriptor using vector decomposition for image classification;a comparative analysis of the different data mining tools by using supervised learning algorithms;a well organized phrase-based document clustering using ASCII values and adjacency list;reconstruction of 3-dimensional scenes using depth from defocus and artificial neural networks trained on fractals;performance comparison between apache hive and oracle SQL for big data analytics;design of wide beam hexagonal shaped circularly polarized patch antenna for WLAN application;an experimental comparison with time-series methods;advanced deep neural networks for pattern recognition;security enabled cluster head selection for wireless sensor network using improved firefly optimization;chaperoning the optimization of symmetric finFET circuits;solving machine part cell formation problem using genetic algorithm based evolutionary computing;DWT based source localization using microphone array;prevention of illegal content sharing in peer to peer systems;towards designing a framework for practical keystroke dynamics based authentication and exudates in detection and classification of diabetic retinopathy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proceedings of the 12th international conference on soft computing and pattern recognition (socpar 2020) 1st ed. 2021

Proceedings of the 12th International Conference on Soft Com...

引用

丛书名： Advances in Intelligent Systems and computing

2021年

作者： Ajith Abraham Yukio Ohsawa Niketa Gandhi M.A. Jabbar Abdelkrim Haqiq Seán McLoone Biju Issac

来源：评论

学校读者我要写书评

暂无评论

FTIP: a Tool for an Image Plagiarism Detection 7

FTIP: a Tool for an Image Plagiarism Detection

引用

7th international conference of soft computing and pattern recognition (socpar)

作者： Hurtik, Petr Hodakova, Petra Univ Ostrava Inst Res & Applicat Fuzzy Modeling Ctr Excellence IT4Innovat 30 Dubna 22 CZ-70103 Ostrava 1 Czech Republic

ISBN: (纸本)9781467393607

the goal of this paper is to introduce a task of image plagiarism detection. More specifically, we propose a method of searching for a plagiarized image in a database. the main requirements for searching in the database are computational speed and success rate. the proposed method is based on the technique of F-transform, particularly Fs-transform, s = 0. this technique significantly reduces the domain dimension and therefore, is speeds-up the whole process. we present several experiments and measurements which prove the speed and accuracy of our method. We also propose examples to demonstrate an ability of using this method in many applications.

关键词： Image plagiarism pattern searching F-transform Fs-transform Image retrieval

来源：评论

学校读者我要写书评

暂无评论

Quantitative Network Analysis for Passenger pattern recognition An Analysis of Railway Stations 7

Quantitative Network Analysis for Passenger Pattern Recognit...

引用

7th international conference of soft computing and pattern recognition (socpar)

作者： Zsifkovits, Martin Nistor, Marian Sorin Meyer-Nieberg, Silja Univ Bundeswehr Munchen Inst Operat Res Neubiberg Germany

ISBN: (纸本)9781467393607

As recent attacks in trains and train stations show, the protections of such critical infrastructure plays a major role for public decision makers. thereby, security installations in the railway network are a frequently discussed topic. Especially the need for an open system demands for technologies that do not influence or delay passenger flows. this also leads to the question of optimal placement of security installations such as smart camera systems or stand-off detectors. For answering this question we observed passenger flows in the Munich central station. the observation data was transferred into a quantitative network and analyzed using various measures. With its help, critical parameter constellations can be identified and investigated in detail. Furthermore we are able to identify special groups of passengers and the differences in their behavior.

关键词： network analysis quantitative networks passenger pattern recognition RiKoV RE(H) STRAIN

来源：评论

学校读者我要写书评

暂无评论

soft Local Binary patterns 7

Soft Local Binary Patterns

引用

7th international conference of soft computing and pattern recognition (socpar)

作者： Li, Ran Li, Xuezhen Kurita, Takio Hiroshima Univ Grad Sch Engn Higashihiroshima Hiroshima 7398521 Japan Sharp Co Ltd Stuart Network Software Dev Dept Higashihiroshima Hiroshima 7390146 Japan

ISBN: (纸本)9781467393607

Local Binary pattern (LBP) is known as one of the most effective local descriptors for image recognition. It is invariant to monotonic gray-scale changes of the image. Local neighborhood information is gathered for each pixel of the image, and a binary code is generated by comparing its value with the value of the center pixel. then a histogram of binary code is created by counting up the occurrences of the different binary patterns. In this paper we propose an extension of the original LBP by using a soft thresholding function instead of the hard thresholding function using in the original LBP. then we construct the histogram by voting the weights calculated depending on the distance between the extracted feature vector and the binary vectors. By using the proposed soft LBP, we can extract information on the differences between the value of the center pixel and the value of the neighboring pixels. this means that the details of the textures can be included in the extracted features. To confirm the effectiveness of the proposed soft LBP, we have performed the experiments on face recognition and face expression recognition. the results shows that the proposed soft LBP gives better recognition rates than the original LBP and and the co-occurrence of adjacent local binary pattern and is comparable with the soft Histogram LBP.

关键词： Local binary pattern (LBP) soft LBP soft histogram LBP the co-occurrence of adjacent LBP logistic function

来源：评论

学校读者我要写书评

暂无评论

Automated generation of fuzzy rules from large-scale network traffic analysis in Digital Forensics Investigations 7

Automated generation of fuzzy rules from large-scale network...

引用

7th international conference of soft computing and pattern recognition (socpar)

作者： Shalaginov, Andrii Franke, Katrin Gjovik Univ Coll Norwegian Informat Secur Lab Ctr Cyber & Informat Secur Gjovik Norway

ISBN: (纸本)9781467393607

this paper describes ongoing study and first results on the application of Neuro-Fuzzy (NF) to support large-scale forensics investigation in the domain of Network Forensics. In particular we focus on patterns of benign and malicious activity that can be find in network traffic dumps. We propose several improvements to the NF algorithm that results in proper handling of large-scale datasets, significantly reduces number of rules and yields a decreased complexity of the classification model. this includes better automated extraction of rules parameters as well as bootstrap aggregation for generalization. Experimental results show that such optimization gives a smaller number of rules, while the accuracy increases in comparison to existing approaches. In particular, it showed an accuracy of 98% when using only 39 rules. In our research we contribute to forensics science by increasing awareness and bringing more comprehensive fuzzy rules. During the last decade many cases related to network forensics resulted in data that can be related to Big Data due to its complexity. Application of soft computing methods, such that Neuro-Fuzzy may bring not only sufficient classification accuracy of normal and attack traffic, yet also facilitate in understanding traffic properties and developing a decisionsupport mechanism.

关键词： digital forensics soft computing neuro-fuzzy network security network traffic analysis

来源：评论

学校读者我要写书评

暂无评论

Global, Local and Embedded Architectures for Multiclass Classification with Foreign Elements Rejection: an Overview 7

Global, Local and Embedded Architectures for Multiclass Clas...

引用

7th international conference of soft computing and pattern recognition (socpar)

作者： Homenda, Wladyslaw Jastrzebska, Agnieszka Vilnius Univ Bialystok Fac Econ & Informat Kalvariju G 135 LT-08221 Vilnius Lithuania Warsaw Univ Technol Fac Math & Informat Sci PL-00662 Warsaw Poland

ISBN: (纸本)9781467393607

In the paper we look closely at the issue of contaminated data sets, where apart from proper elements we may have garbage. In a typical scenario, further classification of such data sets is always negatively influenced by garbage elements. Ideally, we would like to remove them from the data set entirely. Garbage elements are called here foreign elements and the task of removing them from the data set is called rejection of foreign elements. the paper is devoted to comparison and analysis of three different models capable to perform classification with rejection of foreign elements. It shall be emphasized that all studied methods are based only on proper patterns and no knowledge about foreign elements is needed to construct them. Hence, the methods we study are truly general and could be applied in many ways and in many problems. the following classification/rejection architectures are considered: global, local, and embedded. We analyze their performance in two aspects: influence of rejection mechanisms on classification and the quality of rejection. Issues are addressed theoretically and empirically in a study of handwritten digits recognition. Results show that the local architecture and the embedded architecture are advantageous, in comparison to the global architecture.

关键词： pattern recognition classification contaminated datasets foreign elements native elements

来源：评论

学校读者我要写书评

暂无评论

Face sketch recognition using local invariant features 7

Face sketch recognition using local invariant features

引用

7th international conference of soft computing and pattern recognition, socpar 2015

作者： tharwat, Alaa Mahdi, Hani Hennawy, Adel El Hassanien, Aboul Ella Faculty of Engineering Suez Canal University Ismailia Egypt Faculty of Engineering Ain Shams University Cairo Egypt Faculty of Computers and Information Cairo University Cairo Egypt Faculty of Computers and Information Beni Suef University Egypt Egypt

ISBN: (纸本)9781467393607

Face sketch recognition is one of the recent biometrics, which is used to identify criminals. In this paper, a proposed model is used to identify face sketch images based on local invariant features. In this model, two local invariant feature extraction methods, namely, Scale Invariant Feature Transform (SIFT) and Local Binary patterns (LBP) are used to extract local features from photos and sketches. Minimum distance and Support Vector Machine (SVM) classifiers are used to match the features of an unknown sketch with photos. Due to high dimensional features, Direct Linear Discriminant Analysis (Direct-LDA) is used. CHUK face sketch database images is used in our experiments. the experimental results show that SIFT method is robust and it extracts discriminative features than LBP. Moreover, different parameters of SIFT and LBP are discussed and tuned to extract robust and discriminative features. © 2015 IEEE.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

Image encryption scheme for secure digital images based on 3D cat map and Turing machine 7

Image encryption scheme for secure digital images based on 3...

引用

7th international conference of soft computing and pattern recognition, socpar 2015

作者： Mohamed, Nehal A. El-Azeim, Mostafa A. Zaghloul, Alaa El-Latif, Ahmed A. Abd Dept. of Computer Science Faculty of Information Technology MUST University 6th October Egypt Dept. of Computer Science Faculty of Information Technology AASTMT Heliopolis Egypt Dept. of Mathematics Faculty of Science Menoufia University Shebin El-Koom Egypt

ISBN: (纸本)9781467393607

In present time, in order to provide security of multimedia data while transmission and storage processes, the protection of image data can be accomplished using encryption. this paper presents a new image encryption scheme relaying on a chaotic 3D cat map and Turing machine in the form of dynamic random growth technique. the proposed technique composed of two processes of pixels' locations confusion using a chaotic 3D cat map, which is performed concurrently with substituting values swapping pixels' locations using Turing machine. the generated key is dependent on the plain image, to resist the chosen plaintext attack. Both experimental and security analysis show that the presented technique can achieve a large key space and resist the common against cipher attacks. these good cryptographic advantages make it suitable for image transmission over network. © 2015 IEEE.

关键词： Pixels

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7页 << < 1 2 3 4 5 6 7 > >>

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：