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

1,923 篇 会议
232 册 图书
25 篇 期刊文献

馆藏范围

2,179 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,603 篇 工学
- 1,331 篇 计算机科学与技术...
- 465 篇 软件工程
- 251 篇 电气工程
- 235 篇 机械工程
- 186 篇 光学工程
- 178 篇 信息与通信工程
- 118 篇 控制科学与工程
- 95 篇 生物工程
- 62 篇 生物医学工程（可授...
- 41 篇 仪器科学与技术
- 38 篇 电子科学与技术（可...
- 30 篇 化学工程与技术
- 21 篇 安全科学与工程
- 18 篇 材料科学与工程（可...
- 15 篇 交通运输工程
- 13 篇 建筑学
443 篇 理学
- 257 篇 物理学
- 202 篇 数学
- 109 篇 生物学
- 57 篇 统计学（可授理学、...
- 22 篇 化学
228 篇 医学
- 200 篇 临床医学
- 26 篇 基础医学(可授医学...
- 22 篇 特种医学
136 篇 管理学
- 83 篇 图书情报与档案管...
- 59 篇 管理科学与工程(可...
- 19 篇 工商管理
27 篇 艺术学
- 27 篇 设计学（可授艺术学...
16 篇 农学
- 15 篇 作物学
15 篇 法学
- 13 篇 社会学
9 篇 教育学
7 篇 经济学
5 篇 文学
5 篇 军事学

主题

319 篇 computer vision
286 篇 pattern recognit...
166 篇 artificial intel...
120 篇 feature extracti...
113 篇 computer imaging...
99 篇 image processing...
82 篇 face recognition
67 篇 training
60 篇 object detection
60 篇 image segmentati...
54 篇 computer applica...
53 篇 deep learning
51 篇 robustness
47 篇 computer graphic...
46 篇 cameras
45 篇 visualization
43 篇 semantics
38 篇 object recogniti...
37 篇 shape
36 篇 information syst...

机构

89 篇 univ chinese aca...
67 篇 chinese acad sci...
59 篇 national laborat...
56 篇 chinese acad sci...
50 篇 univ chinese aca...
36 篇 chinese univ hon...
36 篇 university of ch...
31 篇 institute of aut...
27 篇 chinese acad sci...
25 篇 school of artifi...
23 篇 univ sci & techn...
22 篇 chinese academy ...
18 篇 chinese acad sci...
17 篇 chinese univ hon...
16 篇 chinese acad sci...
16 篇 univ chinese aca...
15 篇 national laborat...
15 篇 computer vision ...
14 篇 tsinghua univers...
14 篇 department of in...

作者

32 篇 wang xiaogang
29 篇 lu hanqing
28 篇 tan tieniu
28 篇 wang jinqiao
23 篇 li stan z.
22 篇 pal umapada
21 篇 huang kaiqi
21 篇 lei zhen
21 篇 qiao yu
19 篇 tieniu tan
19 篇 hu weiming
18 篇 tang xiaoou
17 篇 xilin chen
15 篇 wang liang
15 篇 chen xilin
15 篇 cheng jian
14 篇 liu jing
14 篇 tang ming
13 篇 xiaoou tang
13 篇 ouyang wanli

语言

2,159 篇 英文
19 篇 中文
7 篇 其他
1 篇 土耳其文

检索条件"任意字段=7th Chinese Conference on Pattern Recognition and Computer Vision"

共 2180 条记录，以下是471-480 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：

Online Joint Multi-Metric Adaptation from Frequent Sharing-Subset Mining for Person Re-Identification

Online Joint Multi-Metric Adaptation from Frequent Sharing-S...

引用

IEEE/CVF conference on computer vision and pattern recognition (CVPR)

作者： Zhou, Jiahuan Su, Bing Wu, Ying Northwestern Univ Dept Elect & Comp Engn Evanston IL 60208 USA Chinese Acad Sci Inst Software Beijing Peoples R China

ISBN: (纸本)9781728171685

Person Re-IDentification (P-RID), as an instance-level recognition problem, still remains challenging in computer vision community. Many P-RID works aim to learn faithful and discriminative features/metrics from offline training data and directly use them for the unseen online testing data. However, their performance is largely limited due to the severe data shifting issue between training and testing data. therefore, we propose an online joint multi-metric adaptation model to adapt the offline learned P-RID models for the online data by learning a series of metrics for all the sharing-subsets. Each sharing-subset is obtained from the proposed novel frequent sharing-subset mining module and contains a group of testing samples which share strong visual similarity relationships to each other. Unlike existing online P-RID methods, our model simultaneously takes both the sample-specific discriminant and the set-based visual similarity among testing samples into consideration so that the adapted multiple metrics can refine the discriminant of all the given testing samples jointly via a multi-kernel late fusion framework. Our proposed model is generally suitable to any offline learned P-RID baselines for online boosting, the performance improvement by our model is not only verified by extensive experiments on several widely-used P-RID benchmarks (CUHK03, Market 1501, DukeMTMC-reID and MSMTI7) and state-of-the-art P-RID baselines but also guaranteed by the provided in-depth theoretical analyses.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

A simple and efficient saliency extraction method based on multi-scale horizon-directional filter for infrared dim small target detection

A simple and efficient saliency extraction method based on m...

引用

7th Symposium on Multispectral Image Processing and pattern recognition (MIPPR) - pattern recognition and computer vision

作者： Xia, Renbo Zhao, Jinbin Hui, Bin Chang, Zheng Zhou, Guangchao Chinese Acad Sci Shenyang Inst Automat Shenyang 110016 Peoples R China

ISBN: (纸本)9780819485786

this paper presents a simple and computationally efficient saliency extraction method for detecting dim small target from single frame in heterogeneous background. the proposed method is based on background subtraction (BS), which identifies targets from the portion of a image that differs significantly from a background model. A set of horizon-directional filters (HDF) with multi-scales are first implemented to effectively recover the background maps from the input image. As a result, the foreground maps are extracted by computing the absolute difference between the input image and the estimated background maps. then the foreground maps are fused into the total saliency map using a simple scheme. Finally, the experimental results of various cluttered background images show that the proposed method is efficient and has an outstanding performance in dim small target detection just by thresholding the saliency map.

关键词： horizon-directional filter dim small target detection saliency detection background subtraction

来源：评论

学校读者我要写书评

暂无评论

computer vision Systems 1

引用

丛书名： Lecture Notes in computer Science

1000年

作者： Mario Fritz Bernt Schiele Justus H. Piater

ISBN: (数字)9783642046674

ISBN: (纸本)9783642046667

this book constitutes the refereed proceedings of the 7th International conference on computer vision Systems, ICVS 2009, held in Liege, Belgium, October 13-15, 2009. the 21 papers for oral presentation presented together with 24 poster presentations and 2 invited papers were carefully reviewed and selected from 96 submissions. the papers are organized in topical sections on human-machine-interaction, sensors, features and representations, stereo, 3D and optical flow, calibration and registration, mobile and autonomous systems, evaluation, studies and applications, learning, recognition and adaption.

关键词： Image Processing and computer vision pattern recognition computer Imaging, vision, pattern recognition and Graphics computer Graphics User Interfaces and Human computer Interaction Artificial Intelligence

来源：评论

学校读者我要写书评

暂无评论

Integrating the image identifiable principle of human cognition and computer vision to develop a new pattern recognition design system for smart home

Integrating the image identifiable principle of human cognit...

引用

7th International conference on Universal Access in Human-computer Interaction: Design Methods, Tools, and Interaction Techniques for eInclusion, UAHCI 2013, Held as Part of 15th International conference on Human-computer Interaction, HCI 2013

作者： Wang, Pin-Chin Tseng, Wan-Ting Cheng, Chun-Min Sung, Yi-Hsuan Chou, Yi-Chun Wu, Fong-Gong Department of Industrial Design National Cheng Kung University Tainan 70101 Taiwan

ISBN: (纸本)9783642391903

In this study, we invented a new way which classifies objects according to their functions and the regions of use. then we proceeded to innovate and design the systematic pattern on the objects. For this goal, we make the pattern on the objects as the goal of recognition that can be captured by camera. In this study we intend to design a new way to derive pattern reasonably and that can be recognized by algorithms. the result of our pattern recognition program test pattern that consisted of systematic components showed that the identification rate of success was more than 90%. this result indicated that our pattern design method can derive a significant pattern which is recognized by computer algorithms and can be effective in detecting the state of the object in using. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Software testing

来源：评论

学校读者我要写书评

暂无评论

Energy deviation values of gabor filters in texture classification

Energy deviation values of gabor filters in texture classifi...

引用

7th IASTED International conference on Signal Processing, pattern recognition and Applications, SPPRA 2010

作者： Dourado, J. Rouco, J. Penedo, M.G. Ortega, M. Mosquera, A. VARPA Group University of A Coruña A Coruña Spain Computer Vision Group University of Santiago de Compostela Santiago de Compostela Spain

ISBN: (纸本)9780889868236

Texture is one of the most important visual characteristics for image analysis. Several texture feature extraction methods proposed in the literature agree in the use of statistical metrics of a filter bank output along local spatial regions. Among these, the most commonly used descriptors are those based in the combination of averages and standard deviations of the magnitude responses of the filter bank. In this paper, we are concerned with the quantitative evaluation of the performance improvement associated to the combined use of average and standard deviation of energy values in comparison with the only use of energy average values. Our results show that the performance improvement although not very large in average, is actually very significant for some kinds of textures.

关键词： Textures

来源：评论

学校读者我要写书评

暂无评论

Face sketch synthesis and recognition

Face sketch synthesis and recognition

引用

9th IEEE International conference on computer vision

作者： Tang, XO Wang, XG Chinese Univ Hong Kong Dept Informat Engn Shatin Hong Kong Peoples R China

ISBN: (纸本)0769519504

In this paper, we propose a novel face photo retrieval system using sketch drawings. By transforming a photo image into a sketch, we reduce the difference between photo and sketch significantly, thus allow effective matching between the two. To improve the synthesis performance, we separate shape and texture information in a face photo, and conduct transformation on them respectively. Finally a Bayesian classifier is used to recognize the probing sketch from the synthesized pseudo-sketches. Experiments on a data set containing 606 people clearly demonstrate the efficacy of the algorithm.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction

Generalized Autoencoder: A Neural Network Framework for Dime...

引用

27th IEEE conference on computer vision and pattern recognition (CVPR)

作者： Wang, Wei Huang, Yan Wang, Yizhou Wang, Liang Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit CRIPAC Beijing Peoples R China Peking Univ Sch EECS Natl Eng Lab Video Technol Key Lab Machine Percep Beijing Peoples R China

ISBN: (纸本)9781479943098

the autoencoder algorithm and its deep version as traditional dimensionality reduction methods have achieved great success via the powerful representability of neural networks. However, they just use each instance to reconstruct itself and ignore to explicitly model the data relation so as to discover the underlying effective manifold structure. In this paper, we propose a dimensionality reduction method by manifold learning, which iteratively explores data relation and use the relation to pursue the manifold structure. the method is realized by a so called "generalized autoencoder" (GAE), which extends the traditional autoencoder in two aspects: (1) each instance x(i) is used to reconstruct a set of instances {x(j)} rather than itself. (2) the reconstruction error of each instance (|parallel to x(j) - x(i)'parallel to(2)) is weighted by a relational function of x(i) and x(j) defined on the learned manifold. Hence, the GAE captures the structure of the data space through minimizing the weighted distances between reconstructed instances and the original ones. the generalized autoencoder provides a general neural network framework for dimensionality reduction. In addition, we propose a multilayer architecture of the generalized autoencoder called deep generalized autoencoder to handle highly complex datasets. Finally, to evaluate the proposed methods, we perform extensive experiments on three datasets. the experiments demonstrate that the proposed methods achieve promising performance.

关键词： Autoencoder Deep learning Dimensionality reduction

来源：评论

学校读者我要写书评

暂无评论

Implementing Dynamical pattern recognition Algorithm on computer Cluster 35

Implementing Dynamical Pattern Recognition Algorithm on Comp...

引用

第35届中国控制会议

作者： SUN Qinghua LIN Peng WANG Cong College of Automation Science& Engineering South China University of Technology Guangdong Key Laboratory of Biomedical Engineering South China University of Technology

ISBN: (纸本)9781509009107

Dynamical pattern recognition based on deterministic learning is the latest pattern recognition *** accomplish large-scale calculation in a short time under this algorithm,high-efficient computing platform is *** computing and computer cluster provide an efficient method of solving this *** this paper,the parallel implementation of dynamical pattern recognition algorithm is accomplished firstly,and then a computer cluster based on MATLAB for this recognition algorithm is *** the end,an experiment about the detection of rotating stall in an axial compressor through dynamic recognition on the cluster is included to demonstrate the effectiveness of the computer *** shows that based on the computer cluster,the parallelization technique can dramatically improve the efficient of the recognition algorithm.

关键词： Parallel algorithm computer cluster deterministic learning dynamical pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Simplified Local Binary pattern descriptor for character recognition of vehicle license plate

Simplified Local Binary Pattern descriptor for character rec...

引用

International conference on computer Graphics, Imaging and Visualization

作者： Liu, Lixia Zhang, Honggang Feng, Aiping Wan, Xinxin Guo, Jun Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9780769541662

Local Binary pattern (LBP) is a powerful texture descriptor for its tolerance against illumination changes and its computational simplicity. the basic LBP encodes 256 feature patterns in a 3×3 neighborhood, but not all the patterns are effective for classification. In this paper, we propose a simplified LBP(S-LBP) which produces optimal patterns by using the best coding principle for classification. Meanwhile, we combine SLBP and Mahalonobis distance in solving the practical problem of character recognition in chinese license plate. Experimental results demonstrate the effectiveness of our method for vehicle license recognition comparing with other popular methods. © 2010 IEEE.

关键词： Local binary pattern

来源：评论

学校读者我要写书评

暂无评论

A Study of Ancient Ceramics Verification Based on vision Methods 6

A Study of Ancient Ceramics Verification Based on Vision Met...

引用

6th chinese conference on pattern recognition (CCPR)

作者： Tang, Yunqi Ding, Jianwei Guo, Wei Peoples Publ Secur Univ China Dept Criminal Sci & Technol Beijing 100038 Peoples R China Peoples Publ Secur Univ China Dept Police Informat Engn Beijing 100038 Peoples R China

ISBN: (纸本)9783662456439;9783662456422

Ceramics appraisal is a hot topic in field of cultural relic collection. Traditionally, there are mainly two types of ceramics appraisal methods, which are experience-based methods and technology-based methods. In practice, the both methods would cause high cost and time consuming. In this paper, a novel vision based method, which is mainly inspired by the idea of biometrics recognition techniques, is proposed to achieve efficiently verification of the identity of a ceramics. In this method, the microscopic information of a ceramics captured by a digital microscope camera are used as the characteristics for verification. In technical detail, SURF(Speeded Up Robust Features) is first employed to align the probe image to the gallery images. LBP(Local Binary patterns) features are then extracted from the two aligned images. Finally, Chi-square distance is calculated to measure the similarity between probe and gallery. Experiments on the dataset constructed by this paper demonstrate the state-of-the-art performance of our method.

关键词： Ancient ceramics verification SURF Local binary patterns Biometric 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218页 << < 44 45 46 47 48 49 50 51 52 53 > >>

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：