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

1,406 篇 会议
1,024 篇 期刊文献
2 册 图书

馆藏范围

2,432 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,506 篇 工学
- 1,065 篇 计算机科学与技术...
- 903 篇 软件工程
- 340 篇 信息与通信工程
- 170 篇 控制科学与工程
- 161 篇 电气工程
- 144 篇 生物工程
- 143 篇 电子科学与技术（可...
- 123 篇 机械工程
- 100 篇 光学工程
- 81 篇 生物医学工程（可授...
- 79 篇 化学工程与技术
- 56 篇 仪器科学与技术
- 54 篇 动力工程及工程热...
- 42 篇 材料科学与工程（可...
- 38 篇 建筑学
- 36 篇 土木工程
- 35 篇 网络空间安全
- 30 篇 交通运输工程
926 篇 理学
- 588 篇 数学
- 239 篇 物理学
- 174 篇 生物学
- 156 篇 统计学（可授理学、...
- 83 篇 化学
- 73 篇 系统科学
423 篇 管理学
- 232 篇 图书情报与档案管...
- 204 篇 管理科学与工程(可...
- 74 篇 工商管理
68 篇 医学
- 54 篇 临床医学
- 42 篇 基础医学(可授医学...
46 篇 法学
- 35 篇 社会学
37 篇 农学
23 篇 经济学
16 篇 教育学
9 篇 哲学
7 篇 艺术学
4 篇 军事学
3 篇 文学

主题

109 篇 feature extracti...
95 篇 semantics
67 篇 information proc...
62 篇 training
59 篇 laboratories
51 篇 computers
43 篇 face recognition
43 篇 computational mo...
42 篇 visualization
41 篇 image segmentati...
40 篇 data mining
38 篇 optimization
38 篇 machine learning
37 篇 accuracy
36 篇 humans
34 篇 deep learning
33 篇 robustness
30 篇 support vector m...
29 篇 predictive model...
29 篇 decoding

机构

434 篇 key laboratory o...
212 篇 university of ch...
83 篇 key laboratory o...
83 篇 key laboratory o...
64 篇 peng cheng labor...
63 篇 college of compu...
52 篇 college of mathe...
48 篇 key laboratory o...
45 篇 hunan provincial...
45 篇 the key laborato...
44 篇 key laboratory o...
43 篇 graduate univers...
42 篇 school of comput...
42 篇 college of infor...
40 篇 chinese academy ...
38 篇 fujian provincia...
35 篇 fujian key labor...
35 篇 key laboratory o...
32 篇 school of comput...
30 篇 anhui university...

作者

95 篇 zhongzhi shi
93 篇 shi zhongzhi
74 篇 xilin chen
72 篇 shiguang shan
62 篇 liu qun
61 篇 huang qingming
48 篇 li yingsong
42 篇 huang zhixiang
41 篇 xu qianqian
40 篇 feng yang
37 篇 he qing
34 篇 yingsong li
32 篇 wen gao
31 篇 qing he
28 篇 jiang kai
28 篇 li hua
28 篇 zhuang fuzhen
27 篇 guo wenzhong
27 篇 zhixiang huang
26 篇 yang zhiyong

语言

2,299 篇 英文
82 篇 其他
58 篇 中文

检索条件"机构=The Key Laboratory of Cognitive Computing and Intelligent Information Processing"

共 2432 条记录，以下是2251-2260 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：

A Hierarchical Scheme for Rapid Video Copy Detection

A Hierarchical Scheme for Rapid Video Copy Detection

引用

IEEE Workshop on Applications of Computer Vision (WACV)

作者： Xiao Wu Yongdong Zhang Sheng Tang Tian Xia Jintao Li Chinese Academy of Sciences China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Today with the rapid increasing popularity of web video sharing, digital copyright protection encounters many troubles. Video copy detection schemes are emerging to cope with the digital video piracy and illegal distribution problems. But the large amount of video data and diversity of copy attacks pose difficulties on copy detection. This paper presents a hierarchical scheme to detect video copies, especially the temporal attacked and re-encoded ones. Our algorithm which is based on the ordinal signature of intra frames and effective R*-tree indexing structure archives real time performance. Comparison experiments are conducted on the benchmarked database of CIVR 2007 copy detection showcase and demonstrate the promising results of the proposed approach.

关键词： Video sharing Indexing Motion pictures Face detection Laboratories information processing Computers Copyright protection Data security Databases

来源：评论

学校读者我要写书评

暂无评论

Multi-Agent based automatic evaluation system for classification algorithms

Multi-Agent based automatic evaluation system for classifica...

引用

International Conference on information and Automation (ICIA)

作者： Fuzhen Zhuang Qing He Zhongzhi Shi Chinese Academy of Sciences China China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences China

The current researches on classification usually focus on proposing novel algorithms and improving existent ones with better performances. However, although a classification algorithm is able to perform well for some given data sets, does it mean to any other data sets? And given several algorithm candidates, which one is the best for your classification problem? A practical solution to the above questions is to evaluate possible situations, which is extremely time-consuming and resource-consuming. In this paper we propose a distributed computing environment based on Multi-Agent technology to facilitate this evaluation process. In this computing environment we compare the performances of the same algorithm on different data sets, and different algorithms on the same data set. Experiments show that autonomic agents can run simultaneously and automatically on different computing hosts to achieve high availability, and this scheme can save the total evaluation time greatly. Therefore, this scheme will help us easily select the proper algorithm for a given classification problem according to different evaluation measures.

关键词： Classification algorithms Support vector machines Data mining Algorithm design and analysis Containers Training Testing

来源：评论

学校读者我要写书评

暂无评论

Hallucinating facial images and features

Hallucinating facial images and features

引用

作者： Li, Bo Chang, Hong Shan, Shiguang Chen, Xilin Gao, Wen Harbin Institute of Technology Harbin China Digital Media Research Center Institute of Computing Tech. CAS Beijing China Key Laboratory of Intelligent Information Processing CAS Beijing China Digital Media Institute Peking University Beijing China

ISBN: (纸本)9781424421756

In facial image analysis, image resolution is an important factor which has great influence on the performance of face recognition systems. As for low-resolution face recognition problem, traditional methods usually carry out super-resolution firstly before passing the super-resolved image to a face recognition system. In this paper, we propose a new method which predicts high-resolution images and the corresponding features simultaneously. More specifically, we propose "feature hallucination" to project facial images with low-resolution into an expected feature space. As a result, the proposed method does not require super-resolution as an explicit preprocessing step. In addition, we explore a constrained hallucination that considers the local consistency in the image grid. In our method, we use the index of local visual primitives [5] as features and a block-based histogram distance to measure the similarity for the face recognition. Experimental results on FERET face database verify that the proposed method can improve both visual quality and recognition rate for low-resolution facial images. © 2008 IEEE.

关键词： Image resolution

来源：评论

学校读者我要写书评

暂无评论

A novel fuzzy likelihood measure algorithm

A novel fuzzy likelihood measure algorithm

引用

International Conference on Computer Science and Software Engineering, CSSE 2008

作者： Ding, Shifei Jin, Fengxiang School of Computer Science and Technology China University of Mining and Technology Xuzhou 221008 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing 100080 China College of Geoinformation Science and Engineering Shandong University of Science and Technology Qingdao 266510 China

ISBN: (纸本)9780769533360

Similarity Measure(PSM) is a kind of measurement that measure the size of similarity between two patterns, it plays a key role in the analysis and research of pattern recognition, machine learning, clustering analysis. This article will firstly study the current PSM theory, point out its application range;secondly, discuss the axiomatic theory of fuzzy likelihood measure, give the frequently-used algorithms of fuzzy likelihood measure that based on axiomatic theory;finally, advance a new kind of fuzzy likelihood function, then establish the Fuzzy Likelihood Measure(FLM) between two fuzzy sets, so as to describe the similar degree between two fuzzy sets. FLM theory not only enriches and improves the PLS theory, and also provides new research methods for the theory research such as pattern recognition, machine learning, clustering analysis and so on. © 2008 IEEE.

关键词： Fuzzy sets

来源：评论

学校读者我要写书评

暂无评论

Web video recommendation and long tail discovering

Web video recommendation and long tail discovering

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Xiao Wu Yongdong Zhang Junbo Guo Jintao Li Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Given countless web videos available online, one problem is how to help users find videos to their taste in an efficient way. In this paper, to facilitate userpsilas browsing we propose relevant and exploratory recommendation algorithms utilizing multimodal similarity and contextual network to organize web videos of various topics. Comparison experiments demonstrate proposed approach generates more accurate video relevancy. And our method is more flexible in discovering user latent interests in long tail videos.

关键词： YouTube Correlation Visualization Partitioning algorithms Clustering algorithms Construction industry History

来源：评论

学校读者我要写书评

暂无评论

Acquiring Commonsense Knowledge about Properties of Concepts from Text

Acquiring Commonsense Knowledge about Properties of Concepts...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Ya-nan Cao Cungen Cao Liangjun Zang Yao Zhu Shi Wang Dongsheng Wang Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Commonsense knowledge plays an important role in various areas such as natural language understanding, information retrieval, etc. This paper presents a method for acquiring commonsense knowledge about properties of concepts by analyzing how adjectives are used with nouns in everyday language. We firstly mine a large scale corpus for potential concept-property pairs using lexico-syntactic patterns and then filter erroneously acquired ones based on heuristic rules and statistical approaches. For each concept, we automatically select the commonsensical properties and evaluate their applicability. Finally, we generate commonsense knowledge represented with explicit fuzzy quantifiers. Experimental results demonstrate the effectiveness of our approach.

关键词： Natural languages information retrieval Fuzzy systems Laboratories information processing Computers Large-scale systems Filters Text recognition Statistical distributions

来源：评论

学校读者我要写书评

暂无评论

Measuring Taxonomic Similarity between Words Using Restrictive Context Matrices

Measuring Taxonomic Similarity between Words Using Restricti...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Shi Wang Cungen Cao Ya-nan Cao Han Lu Xinyu Cao Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Measuring taxonomic similarity between words plays an important role in many semantic-based applications but still remains a challenging task today. We propose a new method which utilizes restrictive context matrices for this problem. We learn a set of special lexico-syntactic patterns automatically and use them to extract taxonomic related contexts of words from raw text. These restrictive contexts are then transformed into real matrices and similarities between them are calculated to reflect the taxonomic similarities between words. The main contribution of our work is that taxonomic related context of words can be mined, evaluated, and used to measure taxonomic similarities between words. Experimental results on Miller-Charles benchmark dataset achieve a correlation coefficient of 0.856.

关键词： Web search Thesauri Fuzzy systems Laboratories information processing information retrieval Natural language processing Ontologies Machine learning Robustness

来源：评论

学校读者我要写书评

暂无评论

Geodesic distance based aproach for sentence similarity computation

Geodesic distance based aproach for sentence similarity comp...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hui-Fang Ma Qing He Zhong-Zhi Shi Chinese Academy of Sciences Beijing China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

This paper presents a novel approach based on geodesic distance for sentence similarity computation, which can be used in a query-based information retrieval system. Unlike the traditional distance methods, geodesic distance takes into account the spatial relationships of sentences, which better reflects the intrinsic geometric structure of sentence manifold. Experiments demonstrate that the proposed method shows a better correlation to human intuition compared with traditional Euclidean method.

关键词： Distance measurement Manifolds Level measurement Euclidean distance Machine learning Correlation Helium

来源：评论

学校读者我要写书评

暂无评论

Object retrieval based on spatially frequent items with informative patches

Object retrieval based on spatially frequent items with info...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Ke Gao Shouxun Lin Junbo Guo Dongming Zhang Yongdong Zhang Yufeng Wu Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Spatial relation of local image patches plays an important role in object-based image retrieval. An approach called spatial frequent items is proposed as an extension of Bag-of-Words method by introducing spatial relations between patches. Spatial frequent items are defined as frequent pairs of adjacent local image patches in polar coordinates, and exploited using data mining. Based on these frequent configurations, we develop a method to encode patches and their spatial relations for image indexing and retrieval. Besides, to avoid the interference of background patches, informative patches are filtrated based on their local entropy and self-similarity in the preprocess stage. Experimental results demonstrate that our method can be 8.6% more effective than the state-of-art object retrieval methods.

关键词： Entropy Visualization Filtration Data mining Distance measurement Image retrieval Detectors

来源：评论

学校读者我要写书评

暂无评论

Spatio-temporal visual consistency for video copy detection

Spatio-temporal visual consistency for video copy detection

引用

2008 5th International Conference on Visual information Engineering (VIE 2008)

作者： Xiao Wu Jintao Li Yongdong Zhang Sheng Tang Chinese Academy of Sciences Beijing China Institute of Computing Technology Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences Beijing China

Video copy detection is essentially a problem of large scale pattern matching. Various copy attacks which change the visual appearance impose hazard on this task. Based on the spatio-temporal consistency, our algorithm aims to utilize the invariant pattern of visual information for video matching. Position correlation of trajectory feature points is calculated as the signature for fast detection. Experiments using benchmarked dataset and commonly happened copy attacks verify the robustness and efficiency of our algorithm.

关键词：

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244页 << < 222 223 224 225 226 227 228 229 230 231 > >>

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：