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

1,290 篇 会议
82 册 图书
36 篇 期刊文献

馆藏范围

1,408 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

854 篇 工学
- 652 篇 计算机科学与技术...
- 358 篇 软件工程
- 201 篇 电气工程
- 139 篇 信息与通信工程
- 106 篇 控制科学与工程
- 93 篇 生物医学工程（可授...
- 88 篇 生物工程
- 50 篇 光学工程
- 33 篇 电子科学与技术（可...
- 31 篇 机械工程
- 31 篇 化学工程与技术
- 26 篇 仪器科学与技术
- 13 篇 土木工程
- 12 篇 交通运输工程
- 11 篇 材料科学与工程（可...
- 11 篇 动力工程及工程热...
- 11 篇 建筑学
378 篇 理学
- 184 篇 数学
- 137 篇 物理学
- 103 篇 生物学
- 60 篇 统计学（可授理学、...
- 31 篇 化学
- 24 篇 系统科学
133 篇 管理学
- 80 篇 图书情报与档案管...
- 53 篇 管理科学与工程(可...
- 17 篇 工商管理
82 篇 医学
- 64 篇 临床医学
- 44 篇 基础医学(可授医学...
- 21 篇 药学(可授医学、理...
15 篇 教育学
- 12 篇 教育学
12 篇 农学
9 篇 法学
6 篇 文学
4 篇 艺术学
2 篇 经济学

主题

513 篇 pattern recognit...
75 篇 feature extracti...
60 篇 artificial intel...
43 篇 neural networks
37 篇 local binary pat...
36 篇 machine learning
35 篇 training
34 篇 computer imaging...
33 篇 face recognition
31 篇 pattern matching
29 篇 accuracy
28 篇 optical pattern ...
25 篇 support vector m...
25 篇 deep learning
25 篇 bioinformatics
24 篇 image processing
23 篇 image recognitio...
23 篇 image processing...
22 篇 data mining
21 篇 robustness

机构

15 篇 national laborat...
7 篇 computer vision ...
6 篇 institute of ima...
6 篇 fujian key labor...
6 篇 school of comput...
5 篇 fujian key labor...
5 篇 school of comput...
5 篇 school of inform...
5 篇 national key lab...
5 篇 faculty of compu...
4 篇 ist nazl fis nuc...
4 篇 tongji universit...
4 篇 ist nazl fis nuc...
4 篇 univ chicago il ...
4 篇 joint inst nucl ...
3 篇 china research a...
3 篇 university of er...
3 篇 indian statistic...
3 篇 indian institute...
3 篇 pattern recognit...

作者

13 篇 wang da-han
9 篇 pal umapada
7 篇 zhu shunzhi
6 篇 de-shuang huang
6 篇 maji pradipta
6 篇 chaudhuri b.b.
5 篇 du xia
5 篇 zong chengqing
5 篇 wu yun
5 篇 askar hamdulla
5 篇 shivakumara pala...
5 篇 lu tong
4 篇 glagolev v
4 篇 julie a. jacko
4 篇 maier andreas
4 篇 nakaya t
4 篇 hankiz yilahun
4 篇 shochet m
4 篇 giannetti p
4 篇 speer t

语言

1,392 篇 英文
10 篇 其他
6 篇 中文

检索条件"任意字段=5th International Conference on Pattern Recognition in Bioinformatics"

共 1408 条记录，以下是491-500 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：

Car recognition using the bag of features method

Car recognition using the bag of features method

引用

IEEE international conference on Multimedia Computing and Systems (ICMCS)

作者： Ilias Kamal Jawad Oubaha ENSIAS Rabat Morocco

In this paper, we apply the bag of features method to the car make and model recognition problem. In our implementation of the method, we use the LARS algorithm to optimize the quadratic problem known as the Lasso and by doing so we generate the dictionary of words. that dictionary is then used in conjuction to an image database to obtain a feature vector (each image yields one feature vector), said feature vector is then fed to an supervised classification algorithm (in our case an SVM).

关键词： Dictionaries Automobiles Computer vision Image recognition Encoding pattern recognition Image coding

来源：评论

学校读者我要写书评

暂无评论

Collaborator Effort Optimisation in Multimodal Crowdsourcing for Transcribing Historical Manuscripts 3rd

Collaborator Effort Optimisation in Multimodal Crowdsourcing...

引用

5th Iberian SLTech Workshop / 3rd international conference on Advances in Speech and Language Technologies for Iberian Languages (IberSPEECH)

作者： Granell, Emilio Martinez-Hinarejos, Carlos-D. Univ Politecn Valencia Pattern Recognit & Human Language Technol Res Ctr Camino Vera S-N E-46022 Valencia Spain

ISBN: (纸本)9783319491691;9783319491684

Crowdsourcing is a powerful tool for massive transcription at a relatively low cost, since the transcription effort is distributed into a set of collaborators, and therefore, supervision effort of professional transcribers may be dramatically reduced. Nevertheless, collaborators are a scarce resource, which makes optimisation very important in order to get the maximum benefit from their efforts. In this work, the optimisation of the work load in the side of collaborators is studied in a multimodal crowdsourcing platform where speech dictation of handwritten text lines is used as transcription source. the experiments explore how this optimisation allows to obtain similar results reducing the number of collaborators and the number of text lines that they have to read.

关键词： Crowdsourcing framework Collaborator effort Speech recognition Document transcription

来源：评论

学校读者我要写书评

暂无评论

Radial Charlier moment invariants for 2D object/image recognition

Radial Charlier moment invariants for 2D object/image recogn...

引用

IEEE international conference on Multimedia Computing and Systems (ICMCS)

作者： M. El Mallahi A. Mesbah H. Karmouni A. El Affar A. Tahiri H. Qjidaa Faculty of Sciences Dhar el Mehraz CED-ST Center of Doctoral Studies in Sciences and Technologies Fez Morocco

Radial Charlier moments as discrete orthogonal moments in the polar coordinate are better descriptor in image processing applications and pattern recognition. However, the translation and scale invariant property of these moments have not been studied due to its complexity of the problem. In this paper, we present a method to construct a set of rotation invariants extracted from radial Charlier moments, named radial Charlier moment invariants (RCMI). Experimental results show the efficiency and the robustness to reconstruction error (MSE), peak signal to noise ratio (PSNR) of the proposed method.

关键词： Image reconstruction pattern recognition Two dimensional displays three-dimensional displays PSNR Image analysis

来源：评论

学校读者我要写书评

暂无评论

Classifying Agricultural Terrain for Machinery Traversability Purposes

Classifying Agricultural Terrain for Machinery Traversabilit...

引用

5th IFAC conference on Sensing, Control and Automation Technologies for Agriculture (AGRICONTROL)

作者： Yandun, Francisco J. Gregorio, Eduard Zuniga, Marcos Escola, Alexandre Rosell-Polo, Joan R. Auat Cheein, Fernando A. Univ Tecn Federico Santa Maria Elect Engn Dept Valparaiso Chile Univ Lleida Agrotecn Ctr Dept Agr & Forrest Engn Res Grp AgroIct & Precis Agr Lieida Spain

the detection of the type of soil surface where a robotic vehicle is navigating on is an important issue for performing several agricultural tasks. Satisfactory results in activities such as seeding, plowing, fertilizing, among others depend on a correct identification of the vehicle environment, specially its contact interface with the ground. In the this work, the implementation of a supervised image texture classifier to recognize five different classes of typical agricultural soil surfaces is presented and analysed. the sensing device is the Microsoft Kinect for Windows V2, which allows to acquire RGB, IR and depth data. Only IR and depth data were used for the processing, since color information becomes unreliable under different illumination conditions. Two data acquisition modes allowed to validate and to apply the system in real operation conditions. the accuracy of the classifier was assessed under different configuration parameters, obtaining up to 93 percent of success rate, in ideal conditions. Real field conditions were simulated by placing the sensor over a moving wagon, obtaining up to 86 percent of success rate, showing in this way the usability of a low cost sensor such as the Kinect V2 for agricultural robotics. (C) 2016, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Agricultural robotics terrain classification terramechanics modelling pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Fast and accurate algorithm for 3D local object reconstruction using Krawtchouk moments

Fast and accurate algorithm for 3D local object reconstructi...

引用

IEEE international conference on Multimedia Computing and Systems (ICMCS)

作者： Abderrahim Mesbah Mostafa El Mallahi Zouhir Lakhili Hassan Qjidaa Aissam Berrahou Faculty of Sciences Dhar el Mehraz Sidi Mohamed Ben Abdellah University Fez Morocco Mohammadia School of Engineers Mohamed V University Rabat Morocco

Discrete Krawtchouk moments are powerful tools in the field of image processing application and pattern recognition. In this paper, we propose a fast and accurate algorithm based on matrix multiplication to extract local features of 3D Krawtchouk moments. the center of interest region in an object can be shifted by varying three parameters. We also computed local Tchebichef moments from 3D object by using the weight function of Krawtchouk polynomials. Experiment results have shown the superiority of the proposed method in terms of object reconstruction comparing with Tchebichef moments.

关键词： three-dimensional displays Image reconstruction Feature extraction pattern recognition Image analysis Manganese Two dimensional displays

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Network Training with Artificial pattern for Bangla Handwritten Numeral recognition

Convolutional Neural Network Training with Artificial Patter...

引用

international conference on Informatics, Electronics and Vision

作者： M. A. H. Akhand Mahtab Ahmed M. M. Hafizur Rahman Dept. of Computer Science and Engineering Khulna University of Engineering & Technology Dept. of Computer Science KICT International Islamic University Malaysia

ISBN: (纸本)9781509012701

recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. the progress of handwritten Bangla numeral is well behind Roman, Chinese and Arabic scripts although it is a major language in Indian subcontinent and is the first language of Bangladesh. Handwritten numeral classification is a high-dimensional complex task and existing methods use distinct feature extraction techniques and various classification tools in their recognition schemes. Recently, convolutional neural network (CNN) is found efficient for image classification with its distinct features. In this study, a CNN based method has been investigated for Bangla handwritten numeral recognition. A moderated pre-processing has been adopted to produce patterns from handwritten scan images. On the other hand, CNN has been trained with the patterns plus a number of artificial patterns. A simple rotation based approach is employed to generate artificial patterns. the proposed CNN with artificial pattern is shown to outperform other existing methods while tested on a popular Bangla benchmark handwritten dataset.

关键词： Bangla Numeral Convolutional Neural Network pattern Generation Handwritten Numeral recognition

来源：评论

学校读者我要写书评

暂无评论

Bangla grammar pattern recognition using shift reduce parser

Bangla grammar pattern recognition using shift reduce parser

引用

international conference on Informatics, Electronics & Vision (ICIEV)

作者： Rafsan Zani Rabbi Mohammad Insanur Rahman Shuvo K.M. Azharul Hasan Dept. of Computer Science and Engineering Khulna University of Engineering & Technology Khulna Bangladesh Khulna University of Engineering and Technology Khulna BD

ISBN: (纸本)9781509012701

Parser plays a very important role in computational linguistics. In this paper, here we describe a parsing technique for Bangla grammar recognition. the parser is, by nature, a shift reduce parser and constructs a parse table based on LR strategy. It takes the Context Free Grammar (CFG) of the Bangla language as input and constructs parser table from the grammar. the parse table is visited on bottom-up approach. this parser is free from the problem of the left factoring and left recursion. To avoid the inflection (BIVOKTI) of Bangla we describe a new approach. Hence only the main form of the Bangla word is stored in the repository. Our experiment shows that the scheme can detect all forms of Bangla sentences even for nontraditional forms.

关键词： Grammar Natural languages Context XML Syntactics Compounds Speech

来源：评论

学校读者我要写书评

暂无评论

Project IS^3: Incentive-Based Intelligent Intervention for Smart and Sustainable Society

Project IS^3: Incentive-Based Intelligent Intervention for S...

引用

IIAI international conference on Advanced Applied Informatics (IIAIAAI)

作者： Yutaka Arakawa Keiichi Yasumoto Kenichi Matsumoto Hideaki Hata Hirohiko Suwa Akinori Ihara Manato Fujimoto Graduate School of Information Science Nara Institute of Science and Technology Nara JAPAN

ISBN: (纸本)9781467389860

Project IS^3 is the leading-edge project in Nara Institute of Science and Technology, a national graduate school in Japan, started from February 2016. this project aims to utilize a human's behavior change for solving the social problems and maintaining our society sustainably. In order to cause the behavior change intentionally, various information technologies are required. In this paper, we explain the concept and goal of our project and figure out what we will do in this project.

关键词： Automobiles Sensors Engines pattern recognition Batteries Timing Battery chargers

来源：评论

学校读者我要写书评

暂无评论

Pose, Illumination and Expression invariant Face recognition using Laplacian of Gaussian and Local Binary pattern 5

Pose, Illumination and Expression invariant Face Recognition...

引用

5th Nirma University international conference on Engineering (NUiCONE)

作者： Panchal, Pradip Patel, Palak thakkar, Vandit Gupta, Rachna CHARUSAT CSPIT Dept Elect & Commun Anand Gujarat India

ISBN: (纸本)9781479999910

this paper presents an effective approach for the application of Face recognition using Local Binary pattern operator. the face image is firstly divided in to the sub regions to generate the locally enhanced Local Binary Histogram, which provide the features information on pixel level by creating LBP labels for histogram. Global Local Binary Histogram for the entire face image is obtained by concatenating all the individual local histograms. As a pre-processing technique the differential excitation of pixel is used to make the algorithm invariant to the illumination changes. the performance of the algorithm is verified under constrains like pose, illumination and expression variation.

关键词： Face recognition Local Binary pattern differential excitation histogram illumination pose angle expression variations

来源：评论

学校读者我要写书评

暂无评论

pattern recognition of electric vehicle charging and discharging based on the closeness degree

Pattern recognition of electric vehicle charging and dischar...

引用

2016 5th international conference on Environment, Materials, Chemistry and Power Electronics(EMCPE 2016)

作者： Xi Chen School of North China Electric Power University

In the process of the intelligent network informatization, automation, and intelligent constantly improving, the requirements of power system for the transparency of the demand side are also getting higher and higher. Real-time and accurate load equipment identification for planning, load forecasting and price adjustment of power system is very important. Electric vehicles has been rapid development in recent years. Because of the characteristics of its battery charging storage, it can be a good part of "cut peak fill in the valley" in the power system. Based on data provided by the smart meters, the electric vehicle charging and discharging characteristics has been analyzed systematically. Conventional electric vehicle charging and discharging transient and steady state parameters as the basic template is used to design load identification method of electric vehicle charging and discharging based on non intrusive.

关键词： closeness degree electric vehicle non intrusive smart meter pattern 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141页 << < 46 47 48 49 50 51 52 53 54 55 > >>

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：