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331-340 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：

Local Binary pattern Based Feature Extraction with KELM for Face Identification

Local Binary Pattern Based Feature Extraction with KELM for ...

引用

international conference on Signal Processing and Communication (ICSC)

作者： Bhawna Ahuja Virendra P. Vishwakarma University School of Information Communication Technology Guru Gobind Singh Indraprastha University Delhi India

the following topics are dealt with: learning (artificial intelligence); Internet of things; feature extraction; face recognition; convolutional neural nets; error statistics; image classification; MOSFET; iterative m... 详细信息

ISBN: (数字)9781728154930

ISBN: (纸本)9781728154947

关键词： Face Databases Classification algorithms Kernel Training Feature extraction Robustness

来源：评论

学校读者我要写书评

暂无评论

Radar Phrase recognition Algorithm Based on New Word Discovery

Radar Phrase Recognition Algorithm Based on New Word Discove...

引用

international conference on Computer and Communications (ICCC)

作者： Liu Yang Weigang Zhu Shouye Lv Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE) Xi'an China UOSE Beijing China Beijing Institute of Remote Sensing Beijing China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Aiming at the problem that the previous recognition algorithms based on supervised learning are difficult to apply to non-cooperative multi-function radar, this paper proposes a radar phrase recognition algorithm based on new word discovery. the algorithm can effectively identify radar phrases without prior knowledge. It is verified by simulation experiments that with the increase of the input data size, the algorithm can overcome the problem of decreased phrase recognition rate caused by the loss of data quality. To a certain extent, the algorithm achieves the purpose of compensating for data “quality” with data “quantity”, and has good engineering applicability.

关键词： Data integrity conferences Supervised learning Radar Data models Natural language processing pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Automated Behavioral Modeling and pattern Analysis of Children with Autism in a Joint Attention Training Application: A Preliminary Study 6th

Automated Behavioral Modeling and Pattern Analysis of Childr...

引用

6th international conference on Learning and Collaboration Technologies (LCT) Held as Part of the 21st international conference on Human-Computer Interaction (HCII)

作者： Tang, Tiffany Y. Winoto, Pinata Wenzhou Kean Univ Dept Comp Sci Media Lab Wenzhou Peoples R China

ISBN: (纸本)9783030218133;9783030218140

Although recent research works have highlighted and demonstrated the applicability of the activity and behavioral pattern analysis mechanisms in offering early windows of opportunities in the assessment and intervention for individuals with autism spectrum disorder (ASD), the computational cost and sophistication of such behavioral modeling systems might prevent these automatic and semi-automatic systems from deploying, which might in turn restrict its actual use. As such, in this paper, we proposed an easily deployable automatic system to train joint attention (JA) skills, characterizing and evaluating JA and reciprocity patterns (i.e. the frequency and degree of reciprocity, initiating and responding to JA bids). Our proposed approach is different from most of earlier attempts in that we do not capitalize the sophisticated feature-space construction methodology;instead, the simple designs and in-game automatic data collection offers hassle-free benefits for such individuals as special education teachers and parents to use in both classrooms and at homes.

关键词： Joint attention skills Children pattern Autism Behavioral modeling Puzzle Training application

来源：评论

学校读者我要写书评

暂无评论

6th international conference on Learning and Collaboration Technologies, LCT 2019, held as part of the 21st international conference on Human-Computer Interaction, HCI international 2019

6th International Conference on Learning and Collaboration T...

引用

6th international conference on Learning and Collaboration Technologies, LCT 2019, held as part of the 21st international conference on Human-Computer Interaction, HCI international 2019

ISBN: (纸本)9783030218133

the proceedings contain 60 papers. the special focus in this conference is on Learning and Collaboration Technologies. the topics include: the Neuro-Subject: A Living Entity with Learnability;information and Communication Science Challenges for Modeling Multifaceted Online Courses;Let’s Talk About Tools and Approaches for Teaching HCI;four-Dimensional Learning, a Response to Social Responsibility in Learning;learning Translation in Geometric Transformations through Digital and Manipulative Artefacts in Synergy;fables for Teachers and Pupils: Incrementally Defined Scenario-Based, Interactive and Spatial Stories;proposing an Estimation Method of Mental Fatigue by Measuring Learner’s Leg Movement;collaborative Meaning Construction in Socioenactive Systems: Study with the mBot;gender Difference in Language Learning with Technology;Measuring Students’ Acceptance to AI-Driven Assessment in eLearning: Proposing a First TAM-Based Research Model;cognitive Load Levels While Learning with or Without a Pedagogical Agent;where the User Does Look When Reading Phishing Mails – An Eye-Tracking Study;automated Behavioral Modeling and pattern Analysis of Children with Autism in a Joint Attention Training Application: A Preliminary Study;student Emotion recognition in Computer Science Education: A Blessing or Curse?;creative Learning and Artefacts Making: Promises and Challenges in Practice;effects of Teaching Methodology on the Students’ Academic Performance in an Introductory Course of Programming;Adaptive Learning Case Studies Implementation at Architectural BIM Construction Courses;case Studies of Applications to Encourage Students in Cyber-Physical Environment;supporting the Teaching and Learning for Subject of Computer Sciences;Programming Teaching Tools Feature Assessment Associated with Brazilian Curriculum Base Obtained through BPL Platforms Analysis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Spatio-temporal pattern Analysis for EEG Classification in Rapid Serial Visual Presentation Task 19

Spatio-temporal Pattern Analysis for EEG Classification in R...

引用

Proceedings of the 6th international conference on bioinformatics Research and Applications

作者： Bowen Li Zhiwen Liu Xiaorong Gao Yanfei Lin School of Information and Electronics Beijing Institute of Technology Beijing China School of Medicine Tsinghua University Beijing China

ISBN: (纸本)9781450372183

this study will explore an algorithm of spatio-temporal pattern analysis for electroencephalographic (EEG) classification in the rapid serial visual presentation (RSVP) task. In this algorithm, the spatial low-rank and temporal-frequency sparse priors are exploited to train the supervised spatial and temporal filters. the discriminant features are extracted by the supervised spatio-temporal filters and classified by support vector machine. the EEG signals were recorded from a total of 12 subjects under RSVP task and were used as training and testing data. the average true positive rate of classification is 79%, and the average false positive rate is only 3.4%. the classification results show that the proposed algorithm has better performance in the target detection than HDCA and SWFP.

关键词： Spatio-temporal pattern Discriminant features EEG Low-rank Sparse prior

来源：评论

学校读者我要写书评

暂无评论

A Review on Various Techniques of Brain Tumor Boundary Detection 6

A Review on Various Techniques of Brain Tumor Boundary Detec...

引用

6th international conference on Computing for Sustainable Global Development (INDIACom)

作者： Dharnia, Sunita Wasson, Vikas Chandigarh Univ CSE Dept Ajitgarh Punjab India

ISBN: (纸本)9789380544342

Common and disparate brains may be segmented by registering objective image with an outline. An outline may be described as the grouping of an intensity image and respectively segmented image. After registering the outline model and objective image, outline labels are propagated to objective image. In previous years, researchers have discovered segmentation algorithms to match outlines, subjects, query and also strategies for outline structure. this work presents a survey of several automated techniques for outline based segmentation of MRI images. In this survey researcher tried to highlight the weakness and strengths of outline based techniques using the concepts of artificial intelligence techniques and recommend new research directions in the field of medical science. Basically, paper focused on presenting the different criterion for detection and segmentation methods. Initially, paper described the algorithms on the basis of outline based strategy: label propagation, methods based upon the threshold, region and probabilistic techniques. On the basis of medical objective the methods are described: the brain and its inside structures segmentation with the damaged area of brains. In this paper a comparison of the literature review's result is also available. this paper presents a brief survey on automated segmentation and detection mechanism of damaged area of brains to classify the abnormality of brains.

关键词： Brain Tumor Segmentation Algorithms Magnetic Resonance Imaging (MRI) pattern recognition Machine Learning and Artificial Intelligence

来源：评论

学校读者我要写书评

暂无评论

Sensor Headband for Emotion recognition in a Virtual Reality Environment 6th

Sensor Headband for Emotion Recognition in a Virtual Reality...

引用

6th international conference on Information Technology in Biomedicine (ITIB)

作者： Kroenert, David Gruenewald, Armin Li, Frederic Grzegorzek, Marcin Brueck, Rainer Univ Siegen Med Informat & Microsyst Engn D-57076 Siegen Germany Univ Siegen Res Grp Pattern Recognit D-57076 Siegen Germany

ISBN: (纸本)9783319912110

Due to global digitalisation, teaching in virtual reality is becoming a growing market. Compared to learning in class, individual learning scenarios are possible. To find out, if a person is currently stressed or overstrained and the training course thus should be adapted, it is necessary to detect the emotional state of the person. therefore in this paper a sensor headband is introduced, which is able to measure certain physiological values such as galvanic skin conductance, blood volume pulse or body temperature. With the help of feature extraction it is then possible to determine, which emotional state relevant in learning scenarios is predominate.

关键词： Emotion recognition Virtual reality Sensors GSR BVP

来源：评论

学校读者我要写书评

暂无评论

6th Workshop on Extreme-Scale Programming Tools, ESPT 2017 and 4th international Workshop on Visual Performance Analysis, VPA 2017 and Workshop on Extreme-Scale Programming Tools, ESPT 2018 and 5th international Workshop on Visual Performance Analysis, VPA 2018

6th Workshop on Extreme-Scale Programming Tools, ESPT 2017 a...

引用

6th Workshop on Extreme-Scale Programming Tools, ESPT 2017 and 4th international Workshop on Visual Performance Analysis, VPA 2017 and Workshop on Extreme-Scale Programming Tools, ESPT 2018 and 5th international Workshop on Visual Performance Analysis, VPA 2018

ISBN: (纸本)9783030178710

the proceedings contain 17 papers. the special focus in this conference is on Extreme-Scale Programming Tools. the topics include: Gotcha: An Function-Wrapping Interface for HPC Tools;Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE;Visualizing, Measuring, and Tuning Adaptive MPI Parameters;visual Analytics Challenges in Analyzing Calling Context Trees;paScal Viewer: A Tool for the Visualization of Parallel Scalability Trends;using Deep Learning for Automated Communication pattern Characterization: Little Steps and Big Challenges;visualizing Multidimensional Health Status of Data Centers;generic Library Interception for Improved Performance Measurement and Insight;improved Accuracy for Automated Communication pattern Characterization Using Communication Graphs and Aggressive Search Space Pruning;Moya—A JIT Compiler for HPC;polyhedral Optimization of TensorFlow Computation Graphs;CAASCADE: A System for Static Analysis of HPC Software Application Portfolios;visual Comparison of Trace Files in Vampir;understanding the Scalability of Molecular Simulation Using Empirical Performance Modeling;Advanced Event-Sampling Support for PAPI.

关键词：

来源：评论

学校读者我要写书评

暂无评论

DeepSignCX: Signature complexity detection using recurrent neural networks 15

DeepSignCX: Signature complexity detection using recurrent n...

引用

15th iapr international conference on Document Analysis and recognition, ICDAR 2019

作者： Vera-Rodriguez, Ruben Tolosana, Ruben Caruana, Miguel Manzano, Gustavo Gonzalez-Garcia, Carlos Fierrez, Julian Ortega-Garcia, Javier Universidad Autonoma de Madrid Biometrics and Data Pattern Analytics-BiDA Lab Madrid Spain

ISBN: (纸本)9781728128610

this paper proposes a novel approach for on-line signature complexity detection based on Recurrent Neural Networks (RNNs). Complexity of handwritten signatures can vary from very simple ones (just a simple flourish) to very complex signatures (including the handwritten full name and complex flourish). three different complexity levels are proposed: low, medium, and high. Time functions are extracted from the on-line signatures and a system based on RNNs (BLSTM in particular) is trained to classify the three levels of complexity over a ground truth manually labelled database (BiosecurID with 400 subjects). this initial model is used to automatically label a very large database (DeepSignDB) containing over 1500 subjects, which is then used to train the proposed RNN for signature complexity detection. Promising results ca. 85% of accuracy are achieved. this complexity detector could be used as a first stage in a signature verification system in order to train a specific biometric system per signature complexity level and improve the overall system performance. © 2019 IEEE.

关键词： Biometrics

来源：评论

学校读者我要写书评

暂无评论

the Research on Detection of Crop Diseases Ranking Based on Transfer Learning 6

The Research on Detection of Crop Diseases Ranking Based on ...

引用

6th international conference on Information Science and Control Engineering (ICISCE)

作者： Yang, Mengji Zhang, Haiqing Bouras, Abdelaziz Tang, Yiqian He, Yu Li, DaiWei Yu, Xi Chengdu Univ Sch Informat Sci & Engn Chengdu Peoples R China Chengdu Univ Informat Technol Dept Software Engn Chengdu 610103 Sichuan Peoples R China Qatar Univ Comp Sci Dept ictQATAR Box 2731 Doha Qatar Key Lab Pattern Recognit & Intelligent Informat P Chengdu Peoples R China

ISBN: (纸本)9781728157122

Crop diseases are a major global threat to food security. Because the lack of agriculture experts or necessary facilities, it is difficult to determine the type of disease, as well as the degree of disease in time, which became the major factor affecting in crop production. In recent years, with the development of the transfer learning in deep learning domain, the experience of experts can be simulated to detect crop diseases in time. In this paper, we have proposed an improved transfer learning method based on ResNet 50 in crop disease diagnosis. the AI Challenger 2018 dataset has been deeper analyzed, the degree of crops diseases are detected. Comparing with non-transfer learning, the proposed transfer learning method achieved better results, which can significantly improve accuracy results by 5.1%similar to 1.87% with reducing half of the running time.

关键词： crop disease deep learning transfer learning ResNet 50

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 << < 30 31 32 33 34 35 36 37 38 39 > >>

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：