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

1,329 篇 会议
994 篇 期刊文献
2 册 图书

馆藏范围

2,325 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,503 篇 工学
- 1,056 篇 计算机科学与技术...
- 905 篇 软件工程
- 333 篇 信息与通信工程
- 185 篇 控制科学与工程
- 162 篇 生物工程
- 157 篇 电气工程
- 146 篇 机械工程
- 119 篇 电子科学与技术（可...
- 102 篇 生物医学工程（可授...
- 99 篇 光学工程
- 77 篇 化学工程与技术
- 62 篇 仪器科学与技术
- 50 篇 材料科学与工程（可...
- 46 篇 动力工程及工程热...
- 45 篇 交通运输工程
- 34 篇 网络空间安全
- 29 篇 建筑学
809 篇 理学
- 466 篇 数学
- 213 篇 物理学
- 191 篇 生物学
- 143 篇 统计学（可授理学、...
- 73 篇 化学
- 56 篇 系统科学
432 篇 管理学
- 239 篇 图书情报与档案管...
- 205 篇 管理科学与工程(可...
- 66 篇 工商管理
79 篇 医学
- 68 篇 临床医学
- 56 篇 基础医学(可授医学...
- 40 篇 药学(可授医学、理...
41 篇 法学
- 31 篇 社会学
35 篇 农学
25 篇 经济学
14 篇 教育学
9 篇 哲学
9 篇 艺术学
8 篇 文学
5 篇 军事学

主题

110 篇 feature extracti...
77 篇 semantics
67 篇 training
67 篇 information proc...
61 篇 laboratories
52 篇 face recognition
50 篇 computers
44 篇 computational mo...
43 篇 deep learning
42 篇 visualization
38 篇 humans
37 篇 data mining
37 篇 robustness
33 篇 predictive model...
32 篇 machine learning
32 篇 accuracy
31 篇 convolution
30 篇 object detection
29 篇 image segmentati...
29 篇 computer vision

机构

432 篇 key laboratory o...
221 篇 university of ch...
83 篇 key laboratory o...
64 篇 peng cheng labor...
48 篇 key laboratory o...
47 篇 the key laborato...
46 篇 key laboratory o...
44 篇 school of comput...
44 篇 graduate univers...
38 篇 chinese academy ...
34 篇 national enginee...
32 篇 school of comput...
31 篇 school of inform...
28 篇 school of cyber ...
28 篇 college of infor...
26 篇 key laboratory o...
25 篇 school of comput...
25 篇 graduate univers...
24 篇 faculty of infor...
24 篇 beijing key labo...

作者

96 篇 zhongzhi shi
88 篇 shi zhongzhi
73 篇 xilin chen
72 篇 shiguang shan
62 篇 liu qun
61 篇 huang qingming
43 篇 xu qianqian
40 篇 feng yang
33 篇 he qing
31 篇 qing he
31 篇 wen gao
28 篇 liu yang
28 篇 zhuang fuzhen
27 篇 yang zhiyong
27 篇 yuefei sui
26 篇 li hua
26 篇 fuji ren
25 篇 cao xiaochun
24 篇 shen linlin
23 篇 jiang shuqiang

语言

2,022 篇 英文
258 篇 其他
53 篇 中文

检索条件"机构=Key Laboratory of Intelligent Information ProcessingInstitute of Computing Technology"

共 2325 条记录，以下是2061-2070 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：

Detection of front-view vehicle with occlusions using AdaBoost

Detection of front-view vehicle with occlusions using AdaBoo...

引用

2009 International Conference on information Engineering and Computer Science, ICIECS 2009

作者： Wu, Chunpeng Duan, Lijuan Miao, Jun Fang, Faming Wang, Xuebin College of Computer Sciences Beijing University of Technology Beijing 100124 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology China Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781424449941

In this paper, we propose a vehicle detection method based on AdaBoost. We focus on the detection of front-view car and bus with occlusions on highway. Samples with different occlusion situations are selected into the training set. By using basic and rotated Haar-like features extracted from the samples in the set, we train an AdaBoost-based cascade vehicle detector. The performance tests on static images and short time videos show that (1)our approach detects cars more effectively than buses (2)the real-time detection of our method on video proceeds at 30 frames per second. ©2009 IEEE.

关键词： Adaptive boosting

来源：评论

学校读者我要写书评

暂无评论

Complementary Relations and Their Concept Lattices in Relational Databases

Complementary Relations and Their Concept Lattices in Relati...

引用

Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

作者： Yuxia Lei Yuefei Sui Cungen Cao Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acad Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing

The storage of data is a key issue of information systems, which is an important foundation for data query and data mining. Relational database model has been proven to be a very useful data-storage technique. As information is stored as data in relational databases, the induction of concepts from data is a pivotal topic in the data mining field. Formal Concept Analysis (FCA) turns out to be a perfect instrument for a meaningful and conceptual exploration of the stored data. In FCA, conceptual scaling provides a complete framework for transforming any many-valued context (i.e., relation/table) into a context (called a derived context), in which each manyvalued attribute is given a scale. The attributes in a scale basically describe meaningful features of the values of the initial attribute. From the logical point of view, complement operation plays a very important role in relational databases and data query systems. In this paper, we provide the connections between the concepts of binary relations and those of complementary binary relations, and propose an approach toward normalizing (complementary) scales, i.e., each (complementary) scale can be represented by a set of statements. One advantage of normalizing scales is to avoid generating huge derived relations, and hence this approach reduces storage cost. By the normalization, the concept lattice of the complement of a derived relation is reduced to a combination of the concept lattice of the derived relation and a set of statements.

关键词： relational databases complementary relations concept lattices normalized scales

来源：评论

学校读者我要写书评

暂无评论

Multi-Agent Based Bioinformatics Integration Using Distributed Dynamic Description Logics

Multi-Agent Based Bioinformatics Integration Using Distribut...

引用

Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

作者： Zhuxiao Wang Dapeng Zhang Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acad Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acad

Integration of bioinformatics data repositories is a challenging task in which data sets are usually heterogeneous in structure and are often distributed across multiple, autonomously maintained databases. In this context, we present an innovative system which coordinates bioinformatics data by combining P2P data integration paradigm and Distributed Dynamic Description Logics (D3L) on top of Multi- Agent System infrastructure. We define the semantics and syntax of D3L, and propose a distributed consistency checking algorithm for realizing the intelligent query with logical reasoning function and decomposing large tasks to sub-tasks that could be tackled by different agents. Finally, we introduce a prototype implementation and present its evaluation. The results indicate that the proposed approach achieves excellent robustness and satisfactory performance.

关键词： bioinformatics integration agent technology Distributed Dynamic Description Logics

来源：评论

学校读者我要写书评

暂无评论

The Logical Operations on Relations, Scales and Concept Lattices

The Logical Operations on Relations, Scales and Concept Latt...

引用

Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

作者： Yuxia Lei Cungen Cao Yuefei Sui Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acad Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acade

Object-attribute-value-relationships, which are a frequently used data structure to code real-world problems, are formalized via many-valued contexts in Formal Concept Analysis (FCA). The aim of FCA is to explore (formal) concepts from empirical data contexts. A concept of a context consists of two parts: the extent (objects the concept covers) and the intent (attributes describing the concept). From the logical point of view, the intent of each concept is a conjunction of some attributes. Similar to conjunction, negation and disjunction are also important logical operations of attributes or attributevalue pairs, which are common in human language. However, the classical FCA as a mathematical theory of concepts lacks a theory of negation and disjunction. In this paper, we take negation and disjunction into consideration in the process of constructing concepts, and hence obtain the following extended concepts: negative concepts of a context (i.e., a binary relation), negative concepts of a relation with some scales, V-concepts of a relation, V-concepts of a relation with some scales, logical concepts of a relation, and logical concepts of a relation with some scales. Compared with concepts in the classical FCA, the extended concepts mentioned above are more pertinent and more meaningful.

关键词： relational databases concept lattices logical operations negation disjunction conjunction

来源：评论

学校读者我要写书评

暂无评论

CoBoost learning of visual categories with 1st and 2 nd order features from Google images 09

CoBoost learning of visual categories with 1st and 2 nd orde...

引用

17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums

作者： Liu, Xi Shi, Zhiping Li, Zhixin Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9781605586083

Conventional object recognition techniques rely heavily on manually annotated image datasets to achieve good performances. However, collecting high quality datasets is really laborious. In this paper, we propose a semi-supervised framework for learning visual categories from Google Images. The 1st and 2nd order features, which define bag of words representation and spatial relationship between local features respectively, make up an independent and redundant feature split. We then integrate a cotraining algorithm CoBoost with these two features. We create two boosting classifiers based on the 1st and 2nd order features respectively in the training, during which one classifier provides labels for the other. Besides, the 2nd order features are generated dynamically rather than extracted exhaustively to avoid high computation. An active learning technique is also introduced to further improve the performance. We evaluate our method on the benchmark datasets, showing results competitive with the state-of-the-art unsupervised approaches and some supervised techniques. Copyright 2009 ACM.

关键词： Object recognition

来源：评论

学校读者我要写书评

暂无评论

A probabilistic model for automatic image annotation and retrieval

A probabilistic model for automatic image annotation and ret...

引用

IEEE 9th International Conference on Computer and information technology, CIT 2009

作者： Li, Zhixin Ma, Huifang Shi, Zhiping Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9780769538365

Automatic image annotation has become an important and challenging problem due to the existence of the semantic gap. In this paper, we present an approach based on probabilistic latent semantic analysis (PLSA) to achieve the task. In order to model training data precisely, an image is firstly represented as a bag of visual words, then a probabilistic structure with two PLSA models is employed to capture semantic information from visual and textual modalities respectively. Furthermore, an adaptive asymmetric learning approach is proposed to fuse the aspects of these two models. For each image document, the distribution over aspects of different models is fused by multiplying different weights, which are determined by the entropy of the feature distribution. Consequently, the two models are linked with the same distribution over all aspects. This structure can predict semantic annotation well for an unseen image because it associates visual and textual modalities properly. We compare our approach with several previous approaches on a standard Corel dataset. The experimental results show that our approach performs more effectively and accurately. © 2009 IEEE.

关键词： Image retrieval

来源：评论

学校读者我要写书评

暂无评论

Detecting unusual pattern with labeled data in two-stage

Detecting unusual pattern with labeled data in two-stage

引用

6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Li, Jincheng He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9780769537351

More analysis has been done to discover the meaningful unusual patterns which may mean fraud or anomaly. In this paper, a two-stage approach considering the labeled data is proposed to discover meaningful unusual observation, without the goal of classifying. We firstly apply Hyper Surface Classification (HSC) algorithm to gain a separating hyper surface which includes several pieces. Observation in the sparse piece is viewed as the unusual pattern. For other pieces with local density, we construct a weighted graph for it and search the Minimum Spanning Tree (MST), then detect further by cutting off several edges with the maximum weight. Combining the advantages of the two stages, a process of subdividing is proposed to consider the domain knowledge. Experimental results show that our approach can detect unusual pattern effectively together with other hidden valuable knowledge. © 2009 IEEE.

关键词： Trees (mathematics)

来源：评论

学校读者我要写书评

暂无评论

Learning image semantics with latent aspect model

Learning image semantics with latent aspect model

引用

2009 IEEE International Conference on Multimedia and Expo, ICME 2009

作者： Zhixin, Li Xi, Liu Zhiping, Shi Zhongzhi, Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9781424442911

Automatic image annotation has become an important and challenging problem due to the existence of semantic gap. In this paper, we present an approach based on probabilistic latent semantic analysis (PLSA) to accomplish the tasks of semantic image annotation and retrieval. In order to model training images precisely, we employ two PLSA models to capture semantic information from visual and textual modalities respectively. Then an adaptive asymmetric learning approach is proposed to fuse aspects which are learned from both modalities. For each image document, the weight of each modality is determined by its contribution to the content of the image. Consequently, the two models are linked with the same distribution over aspects. This structure can predict semantic annotation for an unseen image because it associates visual and textual modalities properly. Finally, we compare our approach with several previous approaches on a standard Corel dataset. The experiment results show that our approach performs more effective and accurate. ©2009 IEEE.

关键词： Image retrieval

来源：评论

学校读者我要写书评

暂无评论

Reducing SMT rule table with monolingual key phrase 47

Reducing SMT rule table with monolingual key phrase

引用

Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009

作者： He, Zhongjun Meng, Yao Lü, Yajuan Yu, Hao Liu, Qun Fujitsu R and D Center CO. LTD Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781617382581

This paper presents an effective approach to discard most entries of the rule table for statistical machine translation. The rule table is filtered by monolingual key phrases, which are extracted from source text using a technique based on term extraction. Experiments show that 78% of the rule table is reduced without worsening translation performance. In most cases, our approach results in measurable improvements in BLEU score. © 2009 ACL and AFNLP.

关键词： Machine translation

来源：评论

学校读者我要写书评

暂无评论

Filter object categories: Employing visual consistency and semi-supervised approach

Filter object categories: Employing visual consistency and s...

引用

2009 IEEE International Conference on Multimedia and Expo, ICME 2009

作者： Xi, Liu Zhixin, Li Zhiping, Shi Zhongzhi, Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9781424442911

We describe a method for filtering object category from a large number of noisy images. This problem is particularly difficult due to the greater variation within object categories and only a few labeled object images available. Our method deals with it by using visual consistency and semi-supervised approach. The images of one category often share some visual consistency so that the most irrelevant images can be first removed. Among the left images, a voting method is used to obtain more object exemplars with the initial object exemplars manually selected by users. Finally with all the obtained exemplars and those unlabeled images, we create a semi-supervised classifier to rank all the images. We evaluate our method on Berg dataset and demonstrate the precision comparative to the state-of-the-art. Besides, we collect five more categories from Google Images to show the effectiveness of the method. ©2009 IEEE.

关键词： Bandpass filters

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233页 << < 203 204 205 206 207 208 209 210 211 212 > >>

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：