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

1,747 篇 会议
77 册 图书
45 篇 期刊文献

馆藏范围

1,869 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,271 篇 工学
- 1,023 篇 计算机科学与技术...
- 621 篇 软件工程
- 212 篇 光学工程
- 205 篇 电气工程
- 198 篇 信息与通信工程
- 138 篇 生物医学工程（可授...
- 136 篇 生物工程
- 122 篇 控制科学与工程
- 51 篇 机械工程
- 48 篇 电子科学与技术（可...
- 40 篇 化学工程与技术
- 36 篇 仪器科学与技术
- 22 篇 安全科学与工程
- 19 篇 建筑学
- 19 篇 土木工程
- 17 篇 动力工程及工程热...
- 15 篇 材料科学与工程（可...
691 篇 理学
- 350 篇 数学
- 277 篇 物理学
- 190 篇 生物学
- 108 篇 统计学（可授理学、...
- 44 篇 化学
- 30 篇 系统科学
176 篇 管理学
- 113 篇 图书情报与档案管...
- 74 篇 管理科学与工程(可...
- 21 篇 工商管理
117 篇 医学
- 90 篇 临床医学
- 55 篇 基础医学(可授医学...
- 26 篇 药学(可授医学、理...
27 篇 法学
- 26 篇 社会学
17 篇 农学
12 篇 教育学
7 篇 经济学
7 篇 军事学
5 篇 艺术学
4 篇 文学

主题

426 篇 pattern recognit...
191 篇 pattern recognit...
70 篇 artificial intel...
65 篇 feature extracti...
48 篇 neural networks
42 篇 pattern matching
35 篇 face recognition
35 篇 data mining
35 篇 computer imaging...
33 篇 local binary pat...
31 篇 bioinformatics
27 篇 support vector m...
25 篇 image analysis
24 篇 image processing
24 篇 character recogn...
23 篇 image segmentati...
22 篇 deep learning
22 篇 machine learning
22 篇 image recognitio...
21 篇 pattern classifi...

机构

18 篇 national laborat...
8 篇 chinese acad sci...
6 篇 tsinghua univers...
5 篇 indian statistic...
5 篇 pattern recognit...
5 篇 university of ch...
4 篇 department of co...
4 篇 rehabil inst chi...
4 篇 school of comput...
4 篇 concordia univ c...
4 篇 shanghai jiao to...
4 篇 university of so...
3 篇 centre for patte...
3 篇 univ chinese aca...
3 篇 institute of ima...
3 篇 southwest jiaoto...
3 篇 pattern recognit...
3 篇 chinese acad sci...
3 篇 school of comput...
3 篇 institute for pa...

作者

16 篇 suen ching y.
11 篇 xu bo
8 篇 caelli terry
8 篇 tan tieniu
8 篇 yang jie
7 篇 levi j. hargrove
6 篇 hargrove levi j.
6 篇 zhao jun
6 篇 jain anil k.
6 篇 sun zhenan
6 篇 suen cy
6 篇 ney hermann
6 篇 kropatsch walter...
6 篇 huang taiyi
5 篇 zhou jie
5 篇 de-shuang huang
5 篇 liu cheng-lin
5 篇 zong chengqing
5 篇 oommen b.j.
5 篇 ablameyko s.

语言

1,847 篇 英文
18 篇 其他
5 篇 中文

检索条件"任意字段=6th IAPR International Conference on Pattern Recognition in Bioinformatics"

共 1869 条记录，以下是291-300 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：

Understanding Event Boundaries for Egocentric Activity recognition from Photo-Streams 25th

Understanding Event Boundaries for Egocentric Activity Recog...

引用

25th international conference on pattern recognition Workshops, ICPR 2020

作者： Cartas, Alejandro Talavera, Estefania Radeva, Petia Dimiccoli, Mariella Faculty of Mathematics and Computer Science University of Barcelona Gran Via de les Corts Catalanes 585 Barcelona08007 Spain Bernoulli Institute University of Groningen Nijenborgh 9 Groningen9747 AG Netherlands C/ Llorens i Artigas 4-6 Barcelona08028 Spain

ISBN: (纸本)9783030687953

the recognition of human activities captured by a wearable photo-camera is especially suited for understanding the behavior of a person. However, it has received comparatively little attention with respect to activity recognition from fixed cameras. In this work, we propose to use segmented events from photo-streams as temporal boundaries to improve the performance of activity recognition. Furthermore, we robustly measure its effectiveness when images of the evaluated person have been seen during training, and when the person is completely unknown during testing. Experimental results show that leveraging temporal boundary information on pictures of seen people improves all classification metrics, particularly it improves the classification accuracy up to 85.73%. © 2021, Springer Nature Switzerland AG.

关键词： Cameras

来源：评论

学校读者我要写书评

暂无评论

Over-the-Air Radar Emitter Signal Classification Based on SDR

Over-the-Air Radar Emitter Signal Classification Based on SD...

引用

6th international conference on Intelligent Computing and Signal Processing (ICSP)

作者： Yan Xia Zhiyuan Ma Zhi Huang School of Electronic Engineering Naval University of Engineering Wuhan China

ISBN: (纸本)9781665447300

At present, in the field of radar emitter classification, theoretical simulation is mostly used to carry out algorithm research. However, there are few schemes to study signal classification in real electromagnetic environment using actual hardware. therefore, this paper proposes a radar emitter classification scheme based on HackRF Software Defined Radio (SDR) and deep learning to solve the problem of weak engineering practice. Firstly, the GNU Radio development environment is used to realize the integration design of real space signal transceiver and time-frequency analysis algorithm application on HackRF hardware platform. then, a classification model with 11 layers network is constructed to automatically extract the deep features of intra-pulse signal time-frequency image. Finally, the classification performance of eight kinds of signals in real electromagnetic environment is tested. the total recognition accuracy of this scheme is more than 83% under 6dB low Signal-to-Noise Ratio (SNR), which proves the effectiveness of the scheme, and provides an important basis for practical engineering application in the future.

关键词： Time-frequency analysis Spaceborne radar Software algorithms pattern classification Feature extraction Hardware Radar signal processing

来源：评论

学校读者我要写书评

暂无评论

Geometric Numerical Integral Method in Compact Lie Group

Geometric Numerical Integral Method in Compact Lie Group

引用

6th international conference on Intelligent Computing and Signal Processing (ICSP)

作者： Chao Liu Shengyi Yang Key Laboratory of Pattern Recognition and Intelligent System of Guizhou Province Guizhou Minzu University Gui Yang China

ISBN: (纸本)9781665447300

three dimensions special orthogonal group SO (3) is widely used to describe the rotation kinematics of the rigid body without local coordinates, which can avoid rotation singularity and unwinding in traditional methods. Propagating the rotation kinematics in SO (3) with a specific geometric integration method is not only to obtained numerical results with improved qualitative behavior, but also provided more accurate long-time integration results. While many studies have focused on geometric integration algorithms to preserve the geometric structure, this work has the additional objective of studying result accuracy. Integral curves on SO (3) obtained using the third-order Crouch-Grossman Lie group method are compared with numerical results using the third-order RKMK algorithms, the exponential coordinates method, and the simple projection method. Results show that the use of the Crouch-Grossman Lie group method better preserves the geometric structure of SO (3) for the larger time steps considered. It is also found that the third-order Crouch-Grossman algorithm is more accurate than the RKMK except for the smallest time step used.

关键词： Heuristic algorithms Signal processing algorithms Kinematics Signal processing

来源：评论

学校读者我要写书评

暂无评论

EEG pattern recognition Based on Self-adjusting Dynamic Time Dependency Method 6th

EEG Pattern Recognition Based on Self-adjusting Dynamic Time...

引用

6th international conference on Data Science, ICDS 2019

作者： Zhang, Hao Lan Xue, Yun Zhang, Bailing Li, Xingsen Lu, Xinzhe Center for SCDM NIT Zhejiang University Ningbo China Southern China Normal University Guangzhou China Guangdong University of Technology Guangzhou China School of Management Zhejiang University Hangzhou China

ISBN: (纸本)9789811528095

the application of biometric identification technology has been applied extensively in modern society. EEG pattern recognition method is one of the key biometric identification technologies for advanced secure and reliable identification technology. this paper introduces a novel EEG pattern recognition method based on Segmented EEG Graph using PLA (SEGPA) model, which incorporates the novel self-adjusting time series dependency method. In such a model, the dynamic time-dependency method has been applied in the recognition process. the preliminary experimental results indicate that the proposed method can produce a reasonable recognition outcome. © Springer Nature Singapore Pte Ltd 2020.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Modeling and Simulation Framework for Airborne Camera Systems 25th

Modeling and Simulation Framework for Airborne Camera System...

引用

25th international conference on pattern recognition Workshops, ICPR 2020

作者： Drouin, Marc-Antoine Fournier, Jonathan Boisvert, Jonathan Borgeat, Louis National Research Council Canada Digital Research Center 1200 Montreal Road OttawaONK1A 0R6 Canada Defence Research and Development Canada Valcartier Research Center 2459 De la Bravoure Road QuebecQCG3J 1X5 Canada

ISBN: (纸本)9783030687922

Full Motion Video (FMV) and Wide Area Motion Imagery (WAMI) systems have been used extensively in the recent years to collect overhead imagery to produce value-added geospatial products. In order to better understand the limitations of these systems and to define the best flight conditions under which they can be operated, an integrated modeling and simulation (M&S) framework named Sensair was developed. this paper presents how this tool can be leveraged to simulate data collections with airborne camera systems using different parameters under varied conditions. Sensair can simulate realistic large-scale environments with moving vehicles and generate representative FMV and WAMI high-resolution imagery. the built-in interactive analysis tools enable the study of the different factors impacting the application of computer vision algorithms to aerial images. this paper presents Sensair’s M&S capabilities and describes use cases where the framework is used to perform tasks that include 3D reconstruction and the generation of an image dataset to support the evaluation of vehicle detection approaches. © 2021, Crown.

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

Improved Time Position Estimation of Manet UAV Routing Protocol

Improved Time Position Estimation of Manet UAV Routing Proto...

引用

IEEE international conference on Signal and Image Processing (ICSIP)

作者： Mesmin J. Mbyamm Kiki Ibrahim Iddi Haruna Yunusa School of Electronic and Information Engineering Beihang University Beijing China School of Pattern Recognition and Intelligent Systems Beihang University Beijing China

ISBN: (纸本)9781665446006

With routing protocols that are primarily concerned with location estimates, the most significant problem is that new neighbors are acquired slowly, which results in inefficient routing decisions. Because routing and forwarding would fail if the next-hop unmanned aerial vehicle (UAV) was no longer in sight. In this paper a system that makes use of unscented Kalman filter prediction in response to improve the next-hop position in real time in order to reduce the overall performance of route forwarding is proposed. It is being introduced to the classic GPRS protocol in order to facilitate the development of new routing protocols with OPNET. the new routing protocol demonstrates a greater rise in point-to-point packet delay and forwarding rate when compared to the original routing system.

关键词： Wireless communication Self-organizing networks Autonomous aerial vehicles Routing Routing protocols Real-time systems Mathematical models

来源：评论

学校读者我要写书评

暂无评论

pattern recognition based Tasks and Achievements on Handwritten Bengali Character recognition

Pattern Recognition based Tasks and Achievements on Handwrit...

引用

international conference on Inventive Computation Technologies (ICICT)

作者： Apash Roy Debayani Ghosh Lovely Professional University Jalandhar Punjab India Chalmers University of Technology Sweden

ISBN: (数字)9781728185019

ISBN: (纸本)9781728185026

Bengali, is not only a major language in two states West Bengal, and Tripura of India, but it is the main language of an Entire country Bangladesh. Having such large application areas of Bengali language, and with the evolution of automation, machine learning, and trending technological development, it is also high time to make a complete product which can easily and efficiently recognize Bengali handwritten characters. Research in this area is attracting attention day by day, and there are the obvious reasons. Application area of such Bengali handwritten character recognition system is undoubtedly very high, but unfortunately, there is not such success in research, which can produce a complete operational system that can be commercialized or practically implemented in day to day life. the current work is a study of the different tasks to be done along with achievements throughout the last decade for different tasks in the field of handwritten Bengali character recognition.

关键词： Handwriting recognition Text recognition Machine learning Tools Feature extraction Character recognition Task analysis

来源：评论

学校读者我要写书评

暂无评论

Crystal Lattice Parametric Identification Based on Analysis of Isosurface Configurations 6

Crystal Lattice Parametric Identification Based on Analysis ...

引用

6th international conference on Information Technology and Nanotechnology (IEEE ITNT)

作者： Kirsh, Dmitriy Samara Natl Res Univ Samara Russia RAS Image Proc Syst Inst FSRC Crystallog & Photon RAS Samara Russia

ISBN: (纸本)9781728170411

the paper deals with the approach to crystal lattice identification based on analysis of isosurface configurations. this method allows to estimate the relative positioning of nodes inside a unit cell, which, theoretically, should provide favorable conditions for the creation of identification algorithms resistant to structure distortions. the major problem of high computational complexity is solved by modifying the method using the three-dimensional periodicity of crystal lattice structures. the study of the method performed on a large base of reference lattices has confirmed its high resistance to structure distortions. In addition, the joint analysis of isosurface configurations and parameters of Bravais unit cells allowed to increase the accuracy of structural identification by an average of 13%.

关键词： pattern recognition parametric identification lattice systems isosurface configuration structural identification Bravais lattices unit cell

来源：评论

学校读者我要写书评

暂无评论

Intentional image similarity search 9th

Intentional image similarity search

引用

9th iapr TC3 international Workshop on Artificial Neural Networks in pattern recognition, ANNPR 2020

作者： Korfhage, Nikolaus Mühling, Markus Freisleben, Bernd Department of Mathematics and Computer Science University of Marburg Hans-Meerwein-Straße 6 Marburg35032 Germany

ISBN: (纸本)9783030583088

Image representations learned by deep convolutional neural networks (CNNs) have greatly improved the performance of content-based image retrieval systems in recent years. Query-by-example is the most popular strategy to represent a user’s search intention in content-based image and video retrieval scenarios. Nevertheless, simply presenting an image as a query is often insufficient to express a user’s intention, due to ambiguities in the query image. To better meet a user’s search intention, a novel intentional image similarity search approach is proposed, consisting of a scheme for specifying a user’s intention for a query image, a plugin mechanism to support more fine-grained neural network models for specific search, and a hybrid feature method based on CNN and handcrafted features. Furthermore, a novel analysis technique for deep similarity networks is introduced for the purpose of finding relevant image regions. the proposed approach is evaluated qualitatively on video recordings of the German Broadcasting Archive. © Springer Nature Switzerland AG 2020.

关键词： Video recording

来源：评论

学校读者我要写书评

暂无评论

Real-Time thermal Face Identification System for Low Memory Vision Applications Using CNN 25th

Real-Time Thermal Face Identification System for Low Memory ...

引用

25th international conference on pattern recognition Workshops, ICPR 2020

作者： Devaram, Rami Reddy Ortis, Alessandro Battiato, Sebastiano Bruna, Arcangelo R. Tomaselli, Valeria Department of Mathematics and Computer Science University of Catania Viale A. Doria 6 Catania95125 Italy STMicroelectronics Catania95121 Italy

ISBN: (纸本)9783030688202

Image based face identification systems have attained optimal performance. However, the design of such systems often involves some issues related to extreme light conditions and privacy protection, among others. Since several years, Face Identification (FI) based on thermal images using deep neural networks (DNN) has received significant attention. Yet, the majority of the FI systems developed through DNN’s need huge computational power;those systems are not suitable for the devices with memory limitations. In this paper, we proposed a new CNN framework based on depthwise separable convolutions for real-time face identification for low memory vision applications. the lack of publicly available thermal datasets makes very hard the research and developing of new techniques. In this work, we further present a new large-scale thermal face database called "ST_UNICT_thermal_Face". As per our analysis, the evaluation of the learnt model using the data obtained in the single-day (without temporal variations), it might not stable over time. One of the main reasons behind the development of this database for the real-time evaluation of the proposed model depends on the fact that most thermal face identification systems are not stable over time and climate due to insufficient time data. the evaluation results exhibit that the proposed framework is suitable for the devices having limited memory and which is stable over time and different indoor environmental conditions. © 2021, Springer Nature Switzerland AG.

关键词： Deep neural networks

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187页 << < 26 27 28 29 30 31 32 33 34 35 > >>

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：