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

1,471 篇 会议
1,071 篇 期刊文献
3 册 图书

馆藏范围

2,545 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,594 篇 工学
- 1,145 篇 计算机科学与技术...
- 949 篇 软件工程
- 350 篇 信息与通信工程
- 206 篇 控制科学与工程
- 172 篇 电气工程
- 147 篇 电子科学与技术（可...
- 147 篇 生物工程
- 128 篇 机械工程
- 106 篇 光学工程
- 90 篇 生物医学工程（可授...
- 80 篇 化学工程与技术
- 58 篇 仪器科学与技术
- 55 篇 动力工程及工程热...
- 42 篇 材料科学与工程（可...
- 40 篇 建筑学
- 37 篇 土木工程
- 36 篇 网络空间安全
- 30 篇 交通运输工程
963 篇 理学
- 611 篇 数学
- 254 篇 物理学
- 175 篇 生物学
- 162 篇 统计学（可授理学、...
- 89 篇 化学
- 73 篇 系统科学
439 篇 管理学
- 240 篇 图书情报与档案管...
- 213 篇 管理科学与工程(可...
- 74 篇 工商管理
75 篇 医学
- 61 篇 临床医学
- 45 篇 基础医学(可授医学...
48 篇 法学
- 36 篇 社会学
37 篇 农学
23 篇 经济学
17 篇 教育学
9 篇 哲学
8 篇 艺术学
4 篇 文学
4 篇 军事学

主题

112 篇 feature extracti...
95 篇 semantics
74 篇 information proc...
64 篇 laboratories
63 篇 training
56 篇 computers
44 篇 computational mo...
43 篇 image segmentati...
43 篇 face recognition
43 篇 visualization
41 篇 data mining
40 篇 machine learning
38 篇 optimization
38 篇 accuracy
37 篇 humans
35 篇 deep learning
33 篇 robustness
31 篇 support vector m...
30 篇 predictive model...
29 篇 object detection

机构

439 篇 key laboratory o...
216 篇 university of ch...
83 篇 key laboratory o...
83 篇 key laboratory o...
65 篇 peng cheng labor...
65 篇 college of compu...
52 篇 college of mathe...
49 篇 key laboratory o...
46 篇 key laboratory o...
45 篇 hunan provincial...
45 篇 the key laborato...
44 篇 school of comput...
44 篇 graduate univers...
42 篇 college of infor...
41 篇 chinese academy ...
39 篇 fujian provincia...
35 篇 fujian key labor...
35 篇 key laboratory o...
33 篇 national enginee...
32 篇 school of comput...

作者

99 篇 zhongzhi shi
97 篇 shi zhongzhi
73 篇 xilin chen
72 篇 shiguang shan
62 篇 liu qun
62 篇 huang qingming
47 篇 li yingsong
44 篇 xu qianqian
42 篇 huang zhixiang
41 篇 feng yang
38 篇 he qing
34 篇 yingsong li
34 篇 wen gao
31 篇 qing he
29 篇 li hua
29 篇 guo wenzhong
28 篇 jiang kai
28 篇 yang zhiyong
28 篇 zhuang fuzhen
26 篇 liu yang

语言

2,332 篇 英文
160 篇 其他
63 篇 中文

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

共 2545 条记录，以下是2201-2210 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：

Collaborative dual-PLSA: Mining distinction and commonality across multiple domains for text classification

Collaborative dual-PLSA: Mining distinction and commonality ...

引用

作者： Zhuang, Fuzhen Luo, Ping Shen, Zhiyong He, Qing Xiong, Yuhong Shi, Zhongzhi Xiong, Hui Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS China Graduate University of Chinese Academy of Sciences China Hewlett Packard Labs China China Innovation Work Australia MSIS Department Rutgers University United States

The distribution difference among multiple data domains has been considered for the cross-domain text classification problem. In this study, we show two new observations along this line. First, the data distribution difference may come from the fact that different domains use different key words to express the same concept. Second, the association be-tween this conceptual feature and the document class may be stable across domains. These two issues are actually the distinction and commonality across data domains. Inspired by the above observations, we propose a gen- erative statistical model, named Collaborative Dual-PLSA (CD-PLSA), to simultaneously capture both the domain dis-tinction and commonality among multiple domains. Dif-ferent from Probabilistic Latent Semantic Analysis (PLSA) with only one latent variable, the proposed model has two latent factors y and z, corresponding to word concept and document class respectively. The shared commonality in-tertwines with the distinctions over multiple domains, and is also used as the bridge for knowledge transformation. We exploit an Expectation Maximization (EM) algorithm to learn this model, and also propose its distributed ver-sion to handle the situation where the data domains are geographically separated from each other. Finally, we con-duct extensive experiments over hundreds of classification tasks with multiple source domains and multiple target do-mains to validate the superiority of the proposed CD-PLSA model over existing state-of-the-art methods of supervised and transfer learning. In particular, we show that CD-PLSA is more tolerant of distribution differences. ©Copyright The Ninth IEEE International Conference on Data Mining, 2009.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

A Secure Distributed Key Management Scheme for AD Hoc Network

A Secure Distributed Key Management Scheme for AD Hoc Networ...

引用

2010 IEEE International Conference on information Theory and information Security(2010 IEEE 国际信息论与信息安全会议)

作者： Xianping Yuan Yan Xu Hong Zhong Jia Yu Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui Univers College of Information Engineering Qingdao University Qingdao China

An identity-based threshold key management scheme without secure channel is proposed for ad hoc network. The master private key, which is shared among all nodes by the Shamir's secret sharing scheme, is produced by all nodes when network is formed. The nodes’ public keys are derived from their identities. In order to get the private key, each node needs to prove their identity to distributed CAs using a zeroknowledge proof protocol to get the share of private key. Compared with former schemes, our scheme doesn’t need any local registration authority(LRA), which is easy to be compromised by adversary. When a node leaves the network, shares of the master private key would be renewed. In the end, we prove our scheme is correct and secure.

关键词： Ad hoc networks Public key Polynomials Protocols Wireless communication

来源：评论

学校读者我要写书评

暂无评论

Accurate Braille-Chinese translation towards efficient Chinese input method for blind people

Accurate Braille-Chinese translation towards efficient Chine...

引用

International Conference on Pervasive computing and Applications (ICPCA)

作者： Chao Wang Xiangdong Wang Yueliang Qian Shouxun Lin Chinese Academy of Sciences Beijing China Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

People with visual disabilities have difficulties in inputting Chinese into computer via conventional methods. Although some specialized devices and software can help Chinese blind users input Mandarin Braille into computers, translation of Mandarin Braille into Chinese is still a problem. In this paper, a new approach for translation of prevailing Mandarin Braille to Chinese character is proposed. By using characteristics of prevailing Mandarin Braille such as word segmentation-concatenation rule and tone information in the N-gram decoding process, the translating approach is able to achieve higher performance than current methods. Furthermore, under a paragraph and article translation scheme, language model adaptation is adopted by using combination of N-gram language model and cache-based language mode to improve translation performance. Experimental results show that the overall precision for the translation is 94.3%. If proper nouns are not considered, the precision can reach 95.1%.

关键词： Adaptation model Lattices Dictionaries Computers Algorithm design and analysis Accuracy Visualization

来源：评论

学校读者我要写书评

暂无评论

Socio-Natural Thought Semantic Link Network: A Method of Semantic Networking in the Cyber Physical Society

Socio-Natural Thought Semantic Link Network: A Method of Sem...

引用

International Conference on Advanced information Networking and Applications (AINA)

作者： Hai Zhuge Knowledge Grid Research Group Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424466955;9780769540184

Humans have been recognizing, establishing and making use of various relations consciously and unconsciously since the formation of human society. Waving and maintaining various relations accompany everyone's life. Humans' social behaviors create or emphasize relations. Various networks evolve with the development of society. Some relational networks gradually become independent of individuals' life during evolution so that they become a part of knowledge and culture sharable cross generations. The study of social relations trace back to the age of Laozi (576-BC), Confucius (551-479 BC), Thales (624 BC-546 BC) and Socrates (469 BC-399 BC). The formal definition of general relation traces to the invention of set theory in 1874. Humans have intelligence to observe and participate in social processes, to think, and to know the effect of establishing a relation. Humans can also actively select appropriate relations and persons according to requirement, situation and social rules. Machines are obviously limited in these abilities. Various graph-based models have been used to connect resources in the cyber space. Two issues are fundamental: (1) machines know little relation in human society and the nature, data structures in machines are for machines to process not for humans to read, so it is not realistic to expect machines to discover social and natural laws and resolve relevant issues without human instruction; and, (2) machines are hard to know the effect of establishing and making use of relations, and to explain computing result according to society and nature. The cause is that machines do not have any worldview. Connecting various networks and machines with nature, society, and even human minds can create a new world where individuals have semantic images that can enhance mutual understanding. The semantic images can be constructed by a Semantic Link Network SLN consisting of nodes with rich semantics, semantic links between nodes, and rules for reasoning, influe

关键词： Humans Societies Libraries Hypertext systems Spatial databases intelligent networks information processing Computers Set theory Machine intelligence

来源：评论

学校读者我要写书评

暂无评论

An Efficient Data Mining Framework on Hadoop using Java Persistence API

An Efficient Data Mining Framework on Hadoop using Java Pers...

引用

International Conference on Computer and information Technology (CIT)

作者： Yang Lai Shi ZhongZhi Chinese Academy and Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Data indexing is common in data mining when working with high-dimensional, large-scale data sets. Hadoop, a cloud computing project using the MapReduce framework in Java, has become of significant interest in distributed data mining. A feasible distributed data indexing algorithm is proposed for Hadoop data mining, based on ZSCORE binning and inverted indexing and on the Hadoop SequenceFile format. A data mining framework on Hadoop using the Java Persistence API (JPA) and MySQL Cluster is proposed. The framework is elaborated in the implementation of a decision tree algorithm on Hadoop. We compare the data index-ing algorithm with Hadoop MapFile indexing, which performs a binary search, in a modest cloud environment. The results show the algorithm is more efficient than naïve MapFile indexing. We compare the JDBC and JPA implementations of the data mining framework. The performance shows the framework is efficient for data mining on Hadoop.

关键词： Data mining Indexing Distributed databases Pediatrics Clustering algorithms Decision trees

来源：评论

学校读者我要写书评

暂无评论

A parallel Hyper-Surface Classifier for high dimensional data

A parallel Hyper-Surface Classifier for high dimensional dat...

引用

International Symposium on Knowledge Acquisition and Modeling, KAM

作者： Qing He Qun Wang Chang-ying Du Xu-dong Ma Zhong-zhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Chinese Academy of Sciences Beijing China

The enlarging volumes of data resources produced in real world makes classification of very large scale data a challenging task. Therefore, parallel process of very large high dimensional data is very important. Hyper-Surface Classification (HSC) is approved to be an effective and efficient classification algorithm to handle two and three dimensional data. Though HSC can be extended to deal with high dimensional data with dimension reduction or ensemble techniques, it is not trivial to tackle high dimensional data directly. Inspired by the decision tree idea, an improvement of HSC is proposed to deal with high dimensional data directly in this work. Furthermore, we parallelize the improved HSC algorithm (PHSC) to handle large scale high dimensional data based on MapReduce framework, which is a current and powerful parallel programming technique used in many fields. Experimental results show that the parallel improved HSC algorithm not only can directly deal with high dimensional data, but also can handle large scale data set. Furthermore, the evaluation criterions of scaleup, speedup and sizeup validate its efficiency.

关键词：

来源：评论

学校读者我要写书评

暂无评论

引用

IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Xu Han Zhongzhi Shi Wenjia Niu Kunrong Chen Xinghua Yang Chinese Academy of Sciences Beijing China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

With the rapid development of XML language which has good flexibility and interoperability, more and more log files of software running information are represented in XML format, especially for Web services. Fault diagnosis by analyzing semi-structured and XML like log files is becoming an important issue in this area. For most related learning methods, there is a basic assumption that training data should be in identical structure, which does not hold in many situations in practice. In order to learn from training data in different structures, we propose a similarity-based Bayesian learning approach for fault diagnosis in this paper. Our method is to first estimate similarity degrees of structural elements from different log files. Then the basic structure of combined Bayesian network (CBN) is constructed, and the similarity-based learning algorithm is used to compute probabilities in CBN. Finally, test log data can be classified into possible fault categories based on the generated CBN. Experimental results show our approach outperforms other learning approaches on those training datasets which have different structures.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Voting conditional random fields for multi-label image classification

Voting conditional random fields for multi-label image class...

引用

Congress on Image and Signal processing, CISP

作者： Xishun Wang Xi Liu Zhiping Shi Zhongzhi Shi Hongjian Sui Chinese Academy of Sciences Beijing China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

In our real world, there usually exist several different objects in one image, which brings intractable challenges to the traditional pattern recognition methods to classify the images. In this paper, we introduce a Conditional Random Fields (CRFs) model to deal with the Multi-label Image Classification problem. Considering the correlations of the objects, a second-order CRFs is constructed to capture the semantic associations between labels. Different initial feature weights are set to introduce the voting techniques for a better performance. We evaluate our methods on MSRC dataset and demonstrate high precision, recall and F 1 measure, showing that our method is competitive.

关键词： Visualization Training Image classification Correlation Buildings Image segmentation Semantics

来源：评论

学校读者我要写书评

暂无评论

A visual search system based on multi-scale population cell coding

A visual search system based on multi-scale population cell ...

引用

IEEE International Conference on cognitive Informatics

作者： Fang, Fang Miao, Jun Qing, Laiyun Gao, Wen School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Information Science and Engineering Graduate University of the Chinese Academy of Sciences Beijing 100049 China Institute for Digital Media Peking University Beijing 100871 China

ISBN: (纸本)9781424480401

Gaze movement plays an important role in human visual search system. How to simulate such a system to efficiently encode and decode gaze movement for target searching is a meaningful issue. There are two key points that should be addressed for this issue. First, eye movement is affected by the visual context that includes more than one object in images. It is important to study how to encode the spatial relationship between the target and the other objects, and decode the spatial relationship to drive the gaze moving to the target. Second, the human retina has a non-uniform distribution of light sensing neurons, which can be viewed as a composition of neuron arrays in different spatial resolutions. When a system searches a target, how many scales of visual fields should be involved to sense the image stimulus? In this paper, we propose a visual search system using the population cell coding mechanism and the multi-scale visual field as sensing input. As an example, the system is applied to human eye center searching. An experimental comparison of a Full-scale visual field coding system and a Gradual-scale coding system is carried out. The experiment results show the Gradual-scale coding system performs better than Full-scale coding system for target searching. © 2010 IEEE.

关键词： Eye movements

来源：评论

学校读者我要写书评

暂无评论

Fast object detection using boosted co-occurrence histograms of oriented gradients

Fast object detection using boosted co-occurrence histograms...

引用

IEEE International Conference on Image processing

作者： Haoyu Ren Cher-Keng Heng Wei Zheng Luhong Liang Xilin Chen Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Panasonic Singapore Laboratories Private Limited Singapore

Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with variable-location and variable-size blocks to capture salient characteristics of the object structure. We consider a CoHOG feature as a block with a special pattern described by the offset. A boosting algorithm is further introduced to select the appropriate locations and offsets to construct an efficient and accurate cascade classifier. Experimental results on public datasets show that our approach simultaneously achieves high accuracy and fast speed on both pedestrian detection and car detection tasks.

关键词： Classification algorithms Training Support vector machines Feature extraction Accuracy Boosting Object detection

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255页 << < 217 218 219 220 221 222 223 224 225 226 > >>

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：