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

357 篇 会议
161 篇 期刊文献

馆藏范围

518 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

320 篇 工学
- 203 篇 计算机科学与技术...
- 179 篇 软件工程
- 81 篇 信息与通信工程
- 58 篇 控制科学与工程
- 56 篇 光学工程
- 42 篇 生物医学工程（可授...
- 40 篇 电子科学与技术（可...
- 37 篇 生物工程
- 32 篇 机械工程
- 29 篇 电气工程
- 23 篇 化学工程与技术
- 17 篇 仪器科学与技术
- 10 篇 交通运输工程
- 9 篇 力学（可授工学、理...
- 8 篇 航空宇航科学与技...
- 7 篇 建筑学
- 7 篇 土木工程
200 篇 理学
- 114 篇 数学
- 74 篇 物理学
- 45 篇 生物学
- 42 篇 统计学（可授理学、...
- 23 篇 化学
- 15 篇 系统科学
72 篇 管理学
- 43 篇 管理科学与工程(可...
- 36 篇 图书情报与档案管...
- 8 篇 工商管理
29 篇 医学
- 23 篇 临床医学
- 17 篇 基础医学(可授医学...
- 15 篇 药学(可授医学、理...
6 篇 艺术学
- 6 篇 设计学（可授艺术学...
5 篇 经济学
4 篇 法学
3 篇 农学
3 篇 军事学
2 篇 教育学
2 篇 文学
1 篇 哲学

主题

45 篇 feature extracti...
38 篇 image processing
37 篇 pattern recognit...
31 篇 image segmentati...
20 篇 support vector m...
18 篇 laboratories
16 篇 computer vision
16 篇 training
15 篇 object detection
15 篇 principal compon...
14 篇 image analysis
13 篇 histograms
13 篇 image reconstruc...
13 篇 shape
12 篇 robustness
11 篇 neural networks
11 篇 discrete wavelet...
11 篇 kernel
11 篇 artificial intel...
10 篇 convolution

机构

74 篇 image processing...
34 篇 institute of ima...
20 篇 school of inform...
17 篇 key laboratory o...
16 篇 institute for pa...
16 篇 school of softwa...
13 篇 school of comput...
12 篇 key laboratory o...
10 篇 key laboratory o...
9 篇 institute of ima...
9 篇 laboratory of im...
8 篇 key laboratory o...
7 篇 institute of pat...
7 篇 institute of ima...
6 篇 pattern recognit...
6 篇 institute of ima...
6 篇 state education ...
6 篇 institute of ima...
5 篇 university of ch...
5 篇 school of mathem...

作者

64 篇 ping guo
34 篇 yang jie
27 篇 guo ping
25 篇 qian yin
23 篇 huang xiaolin
19 篇 jie yang
14 篇 liu jian
12 篇 ding mingyue
12 篇 zhang tianxu
12 篇 li qishen
12 篇 jian liu
11 篇 shen hong-bin
10 篇 he fan
10 篇 qishen li
10 篇 hong-bin shen
9 篇 xin zheng
9 篇 yang yang
9 篇 tian jinwen
9 篇 yin qian
9 篇 mingyue ding

语言

495 篇 英文
16 篇 中文
7 篇 其他

检索条件"机构=Laboratory of Image Processing and Pattern Recognition"

共 518 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：

An SVM-based small target segmentation and clustering approach

An SVM-based small target segmentation and clustering approa...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Sheng Zheng Jian Liu Jin-Wen Tian State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)0780384032

Segmentation and clustering of infrared small target images in a sky or sea-sky background is considered in this paper, which is the preprocessing part of the detection and recognition of the moving small targets in an infrared image sequence. The infrared image intensity surface is well fitted by the least squares support vector machines (LS-SVM), and then the maximum extremum points are detected on the well fitted intensity surface by convolving the image with the second order directional derivative operators deduced from the mapped LS-SVM with mixtures of kernels. With the coarse locations, the possible targets are extracted by the clustering analysis. The computer experiments are carried out for the real and simulated sky and sea-sky infrared images. The experimental results demonstrate the proposed approach is effective.

关键词： Infrared detectors Infrared imaging image segmentation Sea surface image recognition Target recognition image sequences Least squares methods Support vector machines Kernel

来源：评论

学校读者我要写书评

暂无评论

Blind source separation with evolution based KICA

Blind source separation with evolution based KICA

引用

Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast)

作者： Peng Wu Qian Yin Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan Jinan China

ISBN: (纸本)9781479979684

Kernel independent component analysis (KICA) has been widely used in the field of blind source separation. The selection of kernel function and its parameters plays an important role in KICA algorithm performance. An optimal kernel model should be rich enough to well map the given samples. However, users usually use a singular kernel based model in their experiments, which leads to a suboptimal kernel model. In order to solve this problem, we propose the evolution based multiple kernel independent component analysis (EMKICA), in which a convex combination of multiple base kernels is used instead of single kernel of KICA. The combination weights are learned by particle swarm optimization algorithm. Firstly, we elaborate the basic theory of KICA and concept of EMKICA, also the combination form of the composition kernel used in EMKICA. Secondly, we describe the presentation of the individuals in the particle swarm optimization algorithm, the settings of the evaluation function and general algorithm. Finally, we evaluate the separation ability of EMKICA on three different data sets including one-dimensional mixed signals, composite images and images with reflection. The experimental results verify the effectiveness of EMKICA.

关键词： Kernel Independent component analysis Algorithm design and analysis Multimedia communication Correlation Optimization Asia

来源：评论

学校读者我要写书评

暂无评论

Human Pose Estimation Based on Multi-resolution Feature Fusion Network

Human Pose Estimation Based on Multi-resolution Feature Fusi...

引用

IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

作者： Weibai Duan Qishen Li Sihao Yuan Xiao Yu School of Information Engineering Nanchang Hangkong University Nanchang Jiangxi China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Jiangxi China

ISBN: (数字)9781728180281

ISBN: (纸本)9781728180298

This article focuses on the study of multi-resolution feature fusion methods for human pose estimation. Most of the existing pose estimation methods are based on high-resolution gradually reducing the resolution to learn advanced semantic features, and then gradually recovering high-resolution features from the low-resolution semantic features to locate keypoints of the person instance. The process without fusion of rich features will inevitably lose more spatial and semantic information. The purpose of the multi-resolution feature fusion method proposed in this paper is to fuse spatial and semantic information on multiple scale feature maps, in addition, our network use the multi-receptive field fusion module on the same scale features to enhance feature extraction. Our methods can utilize more feature information to accurately locate keypoints.

关键词： Fuses Semantics Pose estimation Feature extraction Spatial resolution Kernel Information technology

来源：评论

学校读者我要写书评

暂无评论

Robust stereo on multiple resolutions

Robust stereo on multiple resolutions

引用

International Conference on pattern recognition

作者： C. Menard A. Leonardis Department for Pattern Recognition and Image Processing Technical University of of Vienna Vienna Austria Computer and InformationScience. Computer Vision Laboratory University of Ljubljana Ljubljana Slovenia

Stereo computation is one of the vision problems where the presence of outliers cannot be neglected. Most standard algorithms make unrealistic assumptions about noise distributions, which leads to erroneous results that cannot be corrected in subsequent postprocessing stages. In this paper we present a modification of the standard area-based correlation approach so that it can tolerate a significant number of outliers. The approach exhibits a robust behavior not only in the presence of mismatches but also in the case of depth discontinuities. The confidence measure of the correlation and the number of outliers provide two complementary sources of information which, when implemented in a multiresolution framework, result in a robust and efficient method. We present the results of this approach on a number of synthetic and real images.

关键词： Stereo vision Computer vision Noise robustness Information resources Correlation pattern recognition image processing Layout Cameras Laboratories

来源：评论

学校读者我要写书评

暂无评论

Parallel implementation of segmentation algorithms on graphics processing unit

Parallel implementation of segmentation algorithms on graphi...

引用

IEEE Signal processing and Communications Applications (SIU)

作者： Erdal Yenialp Habil Kalkan Vision Image Processing and Pattern Recognition Laboratory (VIPLAB) Bilgisayar Mühendisliği Bölümü Süleyman Demirel Üniversitesi Isparta Turkey

Segmentation algorithms are widely used in image processing. These methods have different complexity values and the choice of reasonable methods decreases on large images. Especially on the medical images with large size, it may take days to perform segmentation in some methods. However, parallel implementation may eliminate the drawback of these algorithms to some extent. In this study, we propose to implement segmentation algorithms in parallel using Graphical processing Unit. Using the proposed implementation, the computation time of the K-centers, K-means and DBSCAN algorithms were decreases 87, 642 and 2 times, respectively.

关键词： Graphics processing units Clustering algorithms image segmentation Art Software algorithms Computer science

来源：评论

学校读者我要写书评

暂无评论

One efficient facet-based small target detection technique

One efficient facet-based small target detection technique

引用

International Conference on Signal processing Proceedings (ICSP)

作者： Sheng Zheng ChengYi Xiong JinWen Tian Jian Liu State Education Commission Key Laboratory of Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

This paper presents a method for the detection of small objects from the infrared images. The detection is performed on the intensity surface well fitted by the cubic facet model. The small target energy distribution presents as a convex surface on the image intensity surface and the target center is the maximal extremum points of the convex surface. According to the extremum theory, the possible small target position is analytically determined by directly convolving the original image with the derivative operators deduced from the bivariate cubic function. With the available coarse target locations, the potential target is separated from the background by examining the intensity features of the target cluster. Experimental results on the sample infrared images demonstrate the proposed algorithm provides a robust and efficient performance.

关键词： Face detection Object detection Target tracking Infrared detectors Surface topography Infrared imaging Maintenance Intelligent control pattern recognition Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

The method of image restoration in the environments of dust

The method of image restoration in the environments of dust

引用

International Conference on Mechatronics and Automation

作者： Wang, Yuanyu Li, Yuanzong Zhang, Tianxu Department of Computer Fundamental Education TaiYuan University of Technology TaiYuan CO 030024 China College of Mechanical Engineering TaiYuan University of Technology TaiYuan CO 030024 China Institute for Pattern Recognition and A.I. State Key Laboratory of Image Processing and Intelligent Control HuaZhong University of Science and Technology WuHan CO 430074 China

ISBN: (纸本)9781424451418

In order to solve the problem of image degradation caused by dust environments, an image degradation model considering multiple scattering factors caused by dust was first established using the first-order multiple scattering method. Then, a dark channel prior principle was applied to present an image restoration algorithm based on the image degradation model. Finally, a particle swarm optimization algorithm was applied to optimize the atmospheric light and the exposure parameters. This optimization algorithm was established according to the criterion of the image evaluation based on kirsch operator with dual threshold. By using the method an optimistic result of image restoration was obtained. The experimental results have shown that the method not only enhanced luminance and contrast, but also discovered more detail edges information. The method provided a foundation for target recognition in the dust environments. © 2010 IEEE.

关键词： Dust

来源：评论

学校读者我要写书评

暂无评论

Integrating Segmentation and Classification Accuracy for Accuracy Assessment in Object-based image Analysis

Integrating Segmentation and Classification Accuracy for Acc...

引用

International Conference on Audio, Language and image processing

作者： Nan Li Hong Huo Tao Fang Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education Institute of Image Processing and PatternRecognition Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467301732

An accuracy assessment method that integrates segmentation and classification accuracy is proposed to meet the requirements of object-based image analysis. Segmentation errors are measured by establishing the relationship between pixels and their corresponding segments according to the overlaps of segments and reference polygons. Then, two improved confusion matrices that take the segmentation errors into consideration are used: one for pixel-level classification results, and the other for object-level classification results. A final accuracy assessment combines the statistics of these two confusion matrices. The proposed method can be applied to segmentation scale selection in the hierarchical interpretation system. An experiment on a SPOT5 image demonstrates the effectiveness of this method for segmentation scale selection, which can guide the fusion of objects of different scales to obtain a higher accuracy.

关键词： segmentation image analysis Segmentation object orientation confusion matrix pixel

来源：评论

学校读者我要写书评

暂无评论

Dynamic Action recognition Under Simulated Prosthetic Vision

Dynamic Action Recognition Under Simulated Prosthetic Vision

引用

International Conference on Networking and Network Applications (NaNA)

作者： Ying Zhao Dantong Xu Tie Wang Yanchun Ren Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing School of Information Engineering Inner Mongolia University of Science and Technology Baotou Inner Mongolia

ISBN: (数字)9781728189543

ISBN: (纸本)9781728189550

Purpose. To assess the recognition pattern of dynamic action by visual prosthesis' wearers. Methods. Twenty volunteers (classified by gender and experience) were recruited to carried out action recognition test in simulated prosthetic vision. Twenty-three common dynamic actions video clips usually see in daily life were selected and formed the experimental action set which was divided into three parts including combined actions, simple actions and difficult actions in turn. The action animations made by 3D Studio Max were recorded by Banicam to convert to MP4 video format and processed to phosphene video clips by MATLAB in different resolutions (16 × 16, 24 × 24, 32 × 32, 48 × 48, 64 × 64, 128 × 128). Result. Comparing the recognition results, male group and female group had no significant difference. 48 × 48 resolution was the considerable latent capacity which subjects had stable performance. After a period of study, the performance of prosthesis wearers could be improved significantly.

关键词： Three-dimensional displays Visual prosthesis Animation pattern recognition Matlab

来源：评论

学校读者我要写书评

暂无评论

Improvement and invariance analysis of Zernike moments using as a region-based shape descriptor

Improvement and invariance analysis of Zernike moments using...

引用

Brazilian Symposium on Computer Graphics and image processing (SIBGRAPI)

作者： Ye Bin Peng Jia-xiong Institute for Pattern Recognition & Artificial Intelligence State Key Laboratory For Image Processing & Intelligent Control Huazhong University of Science슠and슠Technology Wuhan Hubei China

An improved Zernike moment using as a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.

关键词： Shape image processing image retrieval image databases Multi-stage noise shaping Intelligent control pattern recognition Artificial intelligence Content based retrieval Trademarks

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52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：