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
1,030 篇 期刊文献
2 册 图书

馆藏范围

2,438 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,511 篇 工学
- 1,067 篇 计算机科学与技术...
- 905 篇 软件工程
- 341 篇 信息与通信工程
- 170 篇 控制科学与工程
- 165 篇 电气工程
- 144 篇 电子科学与技术（可...
- 144 篇 生物工程
- 124 篇 机械工程
- 101 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
927 篇 理学
- 589 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
424 篇 管理学
- 233 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

108 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
37 篇 machine learning
36 篇 humans
36 篇 accuracy
34 篇 deep learning
33 篇 robustness
30 篇 support vector m...
29 篇 predictive model...
29 篇 decoding

机构

435 篇 key laboratory o...
213 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
29 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

2,304 篇 英文
83 篇 其他
58 篇 中文

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

共 2438 条记录，以下是2171-2180 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：

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

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

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

Constructing a facet-based and personalized just-in-time web information recommendation application in a multi-agent environment

Constructing a facet-based and personalized just-in-time web...

引用

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

作者： Kun, Yang 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)9780769538365

High precision is vital to the success of just-in-time information retrieval system. This paper attempts to improve it from two aspects: better understanding the user's current need and providing a highly relevant information source. For the former, an algorithm that can model a user's need in current context based on his behavior automatically is proposed, and for the latter, a mechanism is provided for the user to choose the information source he need by organizing all Web resources involved in a faceted way. All the algorithms and functions are encapsulated in several agents to constitute a multi-agent just-in-time Web information recommending application that help people write, and all these agent are constructed and managed by a multi-agent system middleware named "MAGE". © 2009 IEEE.

关键词： Middleware

来源：评论

学校读者我要写书评

暂无评论

A novel rate estimation model for mode decision of H.264/AVC

A novel rate estimation model for mode decision of H.264/AVC

引用

Visual Communications and Image processing 2009

作者： Zhao, Xin Sun, Jun Gao, Wen Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Institute of Digital Media EECS Peking University Beijing 100871 China

To acquire the optimal coding mode of each macroblock, the H.264/AVC encoder exhaustively calculates the rate-distortion cost for all available modes and chooses the minimum one as the best mode. Therefore, the mode decision process is very computationally demanding. To reduce the computation complexity of the rate-distortion cost, in this paper, we propose a novel rate estimation model for the mode decision in H.264/AVC. By modeling the transform coefficients with Generalized Gaussian distributions (GGD), a direct relationship between the magnitude and the information bits of the quantized transform coefficients is deduced. Based on this deduction, the weighted sum of quantized transform coefficients is proposed as an efficient bit-rate estimator of the residual blocks. Extensive experiments show that the proposed algorithm can save up to 30% of total encoding time with ignorable degradation in coding performance for both inter- and intra-mode decision. © 2009 SPIE-IS&T.

关键词： Signal distortion

来源：评论

学校读者我要写书评

暂无评论

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

FILTER OBJECT CATEGORIES USING COBOOST WITH 1ST AND 2ND ORDER FEATURES

FILTER OBJECT CATEGORIES USING COBOOST WITH 1ST AND 2ND ORDE...

引用

International Conference on Image processing

作者： Xi Liu Zhiping Shi Zhongzhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences

ISBN: (纸本)9781424456536;9781424456543

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 lack of labeled object images. Our method deals with it by combining a co-training algorithm CoBoost [7] with two features - 1st and 2nd order features, which define bag of words representation and spatial relationship between local features respectively. We iteratively train two boosting classifiers based on the 1st and 2nd order features, during which each classifier provides labeled data for the other classifier. It is effective because the 1st and 2nd order features make up an independent and redundant feature split. We evaluate our method on Berg dataset and demonstrate the precision comparative to the state-of-the-art.

关键词： Filter object category Co-training CoBoost 1st order feature 2nd order feature Bag of words Classifiers Filters Category dimensional relationship PURSE

来源：评论

学校读者我要写书评

暂无评论

The ICT Statistical Machine Translation Systems for the IWSLT 2009 6

The ICT Statistical Machine Translation Systems for the IWSL...

引用

6th International Workshop on Spoken Language Translation, IWSLT 2009

作者： Mi, Haitao Liu, Yang Xia, Tian Xiao, Xinyan Feng, Yang Xie, Jun Xiong, Hao Tu, Zhaopeng Zheng, Daqi Lu, Yajuan Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No.6 Kexueyuan South Road Haidian District P.O. Box 2704 Beijing100080 China

This paper describes the ICT Statistical Machine Translation systems that used in the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT) 2009. For this year's evaluation, we participated in the Challenge Task (Chinese-English and English-Chinese) and BTEC Task (Chinese-English). And we mainly focus on one new method to improve single system's translation quality. Specifically, we developed a sentence-similarity based development set selection technique. For each task, we finally submitted the single system who got the maximum BLEU scores on the selected development set. The four single translation systems are based on different techniques: a linguistically syntax-based system, two formally syntax-based systems and a phrase-based system. Typically, we didn't use any rescoring or system combination techniques in this year's evaluation. © IWSLT 2009. All Rights Reserved.

关键词： Computer aided language translation

来源：评论

学校读者我要写书评

暂无评论

Image classification using structural sparse coding model

Image classification using structural sparse coding model

引用

5th International Conference on Natural Computation, ICNC 2009

作者： Li, Zhiqing 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 College of Information Engineering Xiangtan University Xiangtan 411105 China

ISBN: (纸本)9780769537368

Efficient coding hypothesis provides a quantitative relationship between environmental statistics and neural processing. In this paper, we put forward a novel sparse coding model based on structural similarity (SS-SC)for natural image feature extraction. The advantage for our model is to be able to preserve structural information from a scene, which human visual perception is highly adapted for. Using the proposed sparse coding model, the validity of image feature extraction is testified. Furthermore, inspired by Bayesian decision which is extensively used for classification, employing SS-SC we propose an algorithm for image classification. Compared with standard sparse coding (SC) model, the experimental results show that the quality of reconstructed images obtained by our method outperforms the SC method. Moreover, SS-SC model evidently enhances the classification accuracy. © 2009 IEEE.

关键词： Image classification

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 << < 214 215 216 217 218 219 220 221 222 223 > >>

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：