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

12 篇 会议
5 册 图书
1 篇 期刊文献

馆藏范围

18 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5 篇 理学
- 3 篇 数学
- 2 篇 生物学
4 篇 工学
- 4 篇 计算机科学与技术...
- 3 篇 软件工程
- 1 篇 电气工程
- 1 篇 控制科学与工程
1 篇 经济学
- 1 篇 应用经济学
1 篇 医学
- 1 篇 基础医学(可授医学...
1 篇 管理学
- 1 篇 管理科学与工程(可...
- 1 篇 工商管理

主题

2 篇 simulation and m...
2 篇 theory of comput...
2 篇 software enginee...
2 篇 computational co...
2 篇 computational ef...
2 篇 information syst...
2 篇 computer communi...
2 篇 face recognition
2 篇 biometrics
2 篇 numeric computin...
2 篇 humans
2 篇 graphical user i...
2 篇 testing
2 篇 evolutionary com...
1 篇 iris recognition
1 篇 genetic programm...
1 篇 runtime
1 篇 face detection
1 篇 acoustic reflect...
1 篇 computer archite...

机构

3 篇 university of te...
3 篇 aurel vlaicu uni...
2 篇 computing center...
1 篇 faculty of scien...
1 篇 joint ustc-birmi...
1 篇 ieee/cis technic...
1 篇 university of re...
1 篇 institute of int...
1 篇 institute of int...
1 篇 tmaic brackney p...
1 篇 artificial intel...
1 篇 school of comput...
1 篇 ieee/cis technic...
1 篇 artificial intel...
1 篇 school of comput...
1 篇 duke university ...
1 篇 department of co...
1 篇 defence research...
1 篇 binghamton unive...
1 篇 department of co...

作者

3 篇 lakhmi c jain
3 篇 valentina emilia...
2 篇 marius mircea ba...
2 篇 xiao qinghan
1 篇 jnos fodor
1 篇 d.w. mckee
1 篇 x.z. gao
1 篇 thomas weise
1 篇 yang xue dong
1 篇 yung-hui li
1 篇 wanzhen wang
1 篇 marios savvides
1 篇 qinghan xiao
1 篇 joszef dombi
1 篇 xue dong yang
1 篇 wang wanzhen
1 篇 w.h. land
1 篇 annamria r vrkon...
1 篇 jörg lässig
1 篇 michalewicz zbig...

语言

18 篇 英文

检索条件"任意字段=IEEE Workshop on Computational Intelligence in Biometrics - Theory, Algorithms and Applications"

共 18 条记录，以下是11-20 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：

Automatic iris mask refinement for high performance iris recognition

Automatic iris mask refinement for high performance iris rec...

引用

ieee workshop on computational intelligence in biometrics: theory, algorithms, and applications, CIB

作者： Yung-hui Li Marios Savvides Carnegie Mellon University USA

How to estimate artifacts on an iris image in polar domain is an important question for any iris recognition system which pursues high recognition rate as its goal. In literature, there are many different existing algorithm that estimate iris occlusion in either Cartesian or polar coordinate. In this paper, our goal is not to propose another new method to compete with existing method. Rather, our goal is to propose a new algorithm which can take any iris mask estimated by existing algorithm, and refine it into a much more accurate mask. In this way, our proposed method could co-work with any other existing algorithm and improve iris recognition performance. Experimental results show our proposed method can improve iris recognition rate by a great lead compared to the performance of the system using the unrefined iris masks.

关键词： Iris recognition Eyelids Eyelashes Mutual information Acoustic reflection computational efficiency Image recognition biometrics Image segmentation Face recognition

来源：评论

学校读者我要写书评

暂无评论

A facial presence monitoring system for information security

A facial presence monitoring system for information security

引用

ieee workshop on computational intelligence in biometrics: theory, algorithms, and applications, CIB

作者： Qinghan Xiao Xue Dong Yang Defence Research and Development Canada Ottawa ONT Canada IEEE/CIS Technical Committee on Intelligent Systems Applications University of Regina Regina Canada

Information security requires a method to establish digital credentials that can reliably identify individual users. Since biometrics is concerned with the measurements of unique human physiological or behavioural characteristics, the technology has been used to verify the identity of computer or network users. Given today's heightened security requirements of military as well as other applications such as banking, health care, etc., it is becoming critical to be able to monitor the presence of the authenticated user throughout a session. This paper presents a prototype system that uses facial recognition technology to monitor the authenticated user. The objective is to ensure that the user who is using the computer is the same person that logged onto the system. A neural network-based algorithm is implemented to carry out face detection, and an eigenface method is employed to perform facial recognition. A graphical user interface (GUI) has been developed which allows the performance of face detection and facial recognition to be monitored at run time. The experimental results demonstrate the feasibility of near-real-time continuous user verification for high-level security information systems.

关键词： Information security Computerized monitoring Face recognition Military computing Face detection Graphical user interfaces Computer network reliability biometrics Anthropometry Humans

来源：评论

学校读者我要写书评

暂无评论

A novel intrusion detection model based on danger theory

A novel intrusion detection model based on danger theory

引用

2008 Pacific-Asia workshop on computational intelligence and Industrial Application, PACIIA 2008

作者： Junmin, Zhang Yiwen, Liang School of Computer Science Wuhan University Wuhan Hubei 430079 China

ISBN: (纸本)9780769534909

As the traditional negative selection, clonal selection algorithms predefine one part of antigens to be self (the training set) in intrusion detection applications, but in practice the self is difficult to define and can change over time. With the change of the self, error detection rate increases sharply. A recently developed hypothesis in immunology, the Danger theory, states that our immune system responds to the presence of intruders through sensing molecules belonging to those invaders, plus signals generated by the host indicating danger and damage. Integrating the "Danger theory", negative selection and immune memory, the paper proposes a novel artificial immune model for intrusion detection. The paper considers the coordination of DCs in the innate immune system and T cells in the adaptive immune system. At the same time the paper focuses on how to define "danger signals" and considers whether to have a danger to the protected system as the basis of defining "self nonself", in which the self is dynamically updated. The theory analysis shows that the dynamic self can improve the problem of error detection rate increasing sharply, and the dual detection method of DCs detecting the behaviors of antigens and T cells detecting the antigens can also significantly decrease error detection rate. © 2008 ieee.

关键词： Antigens

来源：评论

学校读者我要写书评

暂无评论

Scored Pareto-MEC for multi-objective optimization

Scored Pareto-MEC for multi-objective optimization

引用

SMCia/05 - 2005 ieee Mid-Summer workshop on Soft Computing in Industrial applications

作者： Sun, Chengyi Wang, Wanzhen Gao, X.Z. Artificial Intelligence Institute Beijing City University Mid Road #269 of North Loop-4 Beijing 100083 China Computing Center Taiyuan University of Technology Taiyuan 030024 China Institute of Intelligent Power Electronics Helsinki University of Technology Otakaari 5 A Espoo Finland

ISBN: (纸本)0780389425

This paper proposes a new multi-objective optimization algorithm - Scored Pareto Mind Evolutionary Computation (SP-MEC), which introduces the theory of Pareto into Mind Evolutionary Computation (MEC) for the multi-objective optimization. In our SP-MEC, the selection of individuals is based on their scores that include the Pareto dominance and density information among the individuals. The SP-MEC is compared with the VEGA, NSGA, SPEA, and Pareto-MEC on the basis of four different test problems: convexity, non-convexity, discreteness, as well as non-uniformity. Especially, both the Pareto-MEC and SPEA have shown promising performances in solving various optimization problems. On the test problems, SP-MEC outperforms all the four reference algorithms concerning three measures: the distance from trade-off front to Pareto-optimal front, the uniformity of solutions, and the spread of solutions. Impersonal termination criterion is used in SP-MEC and Pareto-MEC instead of the preset number of generations in other algorithms. SP-MEC has a higher computational efficiency than the VEGA, NSGA, and SPEA. Compared with another our algorithm, Pareto-MEC, the computational efficiency of SP-MEC is a little lower. However, the solution quality of SP-MEC is higher than that of the Pareto-MEC. Therefore, it can be concluded the SP-MEC is a powerful algorithm for multi-objective optimization.

关键词： computational complexity

来源：评论

学校读者我要写书评

暂无评论

Scored Pareto-MEC for multi-objective optimization

Scored Pareto-MEC for multi-objective optimization

引用

ieee workshop on Soft Computing in Industrial applications (SMCia)

作者： Chengyi Sun Wanzhen Wang X.Z. Gao Computing Center Taiyuan University of Technology Taiyuan China Artificial Intelligence Institute Beijing City University Beijing China Institute of Intelligent Power Electronics Helsinki University of Technology Espoo Finland

This paper proposes a new multi-objective optimization algorithm - scored Pareto mind evolutionary computation (SP-MEC), which introduces the theory of Pareto into mind evolutionary computation (MEC) for the multi-objective optimization. In our SP-MEC, the selection of individuals is based on their scores that include the Pareto dominance and density information among the individuals. The SP-MEC is compared with the VEGA, NSGA, SPEA, and Pareto-MEC on the basis of four different test problems: convexity, non-convexity, discreteness, as well as non-uniformity. Especially, both the Pareto-MEC and SPEA have shown promising performances in solving various optimization problems. On the test problems, SP-MEC outperforms all the four reference algorithms concerning three measures: the distance from trade-off front to Pareto-optimal front, the uniformity of solutions, and the spread of solutions. Impersonal termination criterion is used in SP-MEC and Pareto-MEC instead of the preset number of generations in other algorithms. SP-MEC has a higher computational efficiency than the VEGA, NSGA, and SPEA. Compared with another our algorithm, Pareto-MEC, the computational efficiency of SP-MEC is a little lower. However, the solution quality of SP-MEC is higher than that of the Pareto-MEC. Therefore, it can be concluded the SP-MEC is a powerful algorithm for multi-objective optimization.

关键词： Evolutionary computation Pareto optimization Testing Sun Artificial intelligence computational efficiency Power electronics Humans

来源：评论

学校读者我要写书评

暂无评论

New results in breast cancer classification obtained from an evolutionary computation/adaptive boosting hybrid using mammogram and history data

New results in breast cancer classification obtained from an...

引用

ieee workshop on Soft Computing in Industrial applications (SMCia)

作者： W.H. Land T. Masters J.Y. Lo D.W. McKee F.R. Anderson Binghamton University Binghamton NY USA TMAIC Brackney PA USA Duke University Medical Center Durham NC USA Our Lady of Lourdes Memorial Hospital Inc. Binghamton NY USA

ISBN: (纸本)0780371542

A new neural network technology was developed to improve the diagnosis of breast cancer using mammogram findings. The paradigm, adaptive boosting (AB), uses a markedly different theory in solving the computational intelligence (CI) problem. AB, a new machine learning paradigm, focuses on finding weak learning algorithm(s) that initially need to provide slightly better than "random" performance (i.e., approximately 55%) when processing a mammogram training set. By successive development of additional architectures (using the mammogram training set), the adaptive boosting process improves performance of the basic evolutionary programming derived neural network architectures. The results of these several EP-derived hybrid architectures are then intelligently combined and tested using a similar validation mammogram data set. Optimization, focused on improving specificity and positive predictive value at very high sensitivities, with an analysis of the performance of the hybrid would be most meaningful. Using the DUKE mammogram database of 500 biopsy proven samples, this hybrid, on average, was able to achieve (under statistical 5-fold cross-validation) a specificity of 48.3% and a positive predictive value (PPV) of 51.8% while maintaining 100% sensitivity. At 97% sensitivity, a specificity of 56.6% and a PPV of 55.8% were obtained.

关键词： Breast cancer Neural networks Boosting Machine learning computational intelligence Machine learning algorithms Computer architecture Genetic programming Competitive intelligence Testing

来源：评论

学校读者我要写书评

暂无评论

computational Science and Its applications – ICCSA 2008 1

引用

丛书名： Lecture Notes in Computer Science

1000年

ISBN: (数字)9783540698487

ISBN: (纸本)9783540698401

This two-volume set is assembled following the 2008 International Conference on computational Science and Its applications, ICCSA 2008, a premium int- national event held in Perugia, Italy, from June 30 to July 3, 2008. The collection of fully refereed high-quality original works accepted as theme papers for presentation at ICCSA 2008 are published in this LNCS proceedings set. This outstanding collection complements the volume of workshop papers, traditionally published by ieee Computer Society. The continuous support of computational science researchers has helped ICCSA to become a ?rmly established forum in the area of scienti?c computing and the conference itself become a recurring scienti?c and professional meeting that cannot be given up. The computational science ?eld, based on fundamental disciplines such as mathematics, physics, and chemistry, is ?nding new computational approaches to foster the human progress in heterogeneous and fundamental areas such as aerospace and automotive industries, bioinformatics and nanotechnology studies, networks and grid computing, computational geometry and biometrics, computer education, virtual reality, and art. Due to the growing complexity of many ch- lenges in computational science, the use of sophisticated algorithms and eme- ing technologies is inevitable. Together, these far-reaching scienti?c areas help to shape this conference in the areas of state-of-the-art computational science research and applications, encompassing the facilitating theoretical foundations and the innovative applications of such results in other areas.

关键词： Computer Communication Networks Software Engineering/Programming and Operating Systems theory of Computation Numeric Computing Information Systems and Communication Service Simulation and Modeling

来源：评论

学校读者我要写书评

暂无评论

computational Science and Its applications – ICCSA 2008 1

引用

丛书名： Lecture Notes in Computer Science

1000年

ISBN: (数字)9783540698395

ISBN: (纸本)9783540698388

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2页 << < 1 2 > >>

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：