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

101 篇 会议
28 篇 期刊文献

馆藏范围

129 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

84 篇 工学
- 61 篇 计算机科学与技术...
- 49 篇 软件工程
- 22 篇 信息与通信工程
- 17 篇 生物医学工程（可授...
- 10 篇 机械工程
- 10 篇 控制科学与工程
- 9 篇 生物工程
- 6 篇 光学工程
- 5 篇 建筑学
- 4 篇 化学工程与技术
- 3 篇 材料科学与工程（可...
- 3 篇 电气工程
- 3 篇 土木工程
- 2 篇 仪器科学与技术
- 2 篇 电子科学与技术（可...
- 2 篇 测绘科学与技术
45 篇 理学
- 27 篇 数学
- 11 篇 生物学
- 9 篇 物理学
- 8 篇 统计学（可授理学、...
- 5 篇 系统科学
- 4 篇 化学
32 篇 管理学
- 25 篇 图书情报与档案管...
- 11 篇 管理科学与工程(可...
13 篇 医学
- 12 篇 临床医学
- 11 篇 基础医学(可授医学...
- 10 篇 药学(可授医学、理...
4 篇 农学
- 2 篇 作物学
1 篇 经济学
- 1 篇 应用经济学
1 篇 法学
- 1 篇 社会学
1 篇 文学

主题

9 篇 support vector m...
8 篇 electroencephalo...
8 篇 laboratories
7 篇 intelligent syst...
5 篇 training
4 篇 image retrieval
3 篇 machine translat...
3 篇 collaborative fi...
3 篇 indexing
3 篇 lighting
3 篇 search engines
3 篇 data mining
3 篇 computational mo...
3 篇 pattern recognit...
3 篇 semantics
3 篇 feature extracti...
3 篇 humans
3 篇 emotion recognit...
3 篇 sleep
3 篇 accuracy

机构

14 篇 microsoft resear...
14 篇 moe-microsoft ke...
8 篇 moe-microsoft ke...
6 篇 center for brain...
5 篇 department of co...
5 篇 moe-microsoft ke...
4 篇 moe-microsoft ke...
4 篇 shanghai jiao to...
4 篇 department of co...
3 篇 moe-microsoft la...
3 篇 moe-ms key labor...
3 篇 fudan university
3 篇 moe key laborato...
3 篇 moe-microsoft ke...
3 篇 seattle united s...
3 篇 department of co...
3 篇 shanghai key lab...
3 篇 center for brain...
3 篇 moe-microsoft ke...
3 篇 center for brain...

作者

27 篇 lu bao-liang
16 篇 zhao hai
16 篇 zhang liqing
12 篇 bao-liang lu
7 篇 hai zhao
5 篇 li dongsheng
5 篇 liqing zhang
4 篇 lu tun
4 篇 gu ning
4 篇 xubo yang
4 篇 hongtao lu
4 篇 lu hongtao
4 篇 li junhua
4 篇 shang li
4 篇 wang xiao-lin
4 篇 fu yuxi
3 篇 zhang lei
3 篇 xia jiafeng
3 篇 kwok james t.
3 篇 li mu

语言

125 篇 英文
3 篇 其他
1 篇 中文

检索条件"机构=MOE-Microsoft Laboratory of Intelligent Computing and Intelligent Systems"

共 129 条记录，以下是41-50 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 driving fatigue based on grip force on steering wheel with wavelet transformation and support vector machine

Detection of driving fatigue based on grip force on steering...

引用

20th International Conference on Neural Information Processing, ICONIP 2013

作者： Li, Fan Wang, Xiao-Wei Lu, Bao-Liang Center for Brain-like Computing and Machine Intelligence Department of Computer Science and Engineering China MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (纸本)9783642420504

This paper proposes an unobtrusive way to detect fatigue for drivers through grip forces on steering wheel. Simulated driving experiments are conducted in a refitted passenger car, during which grip forces of both hands are collected. Wavelet transformation is introduced to extract fatigue-related features from wavelet coefficients. We compare the performance of k-nearest neighbours, linear discriminant analysis, and support vector machine (SVM) on the task of discriminating drowsy and awake states. SVM with radial basis function reaches the best accuracy, 75% on average. The results show that variation in grip forces on steering wheel can be used to effectively detect drivers' fatigue. © Springer-Verlag 2013.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Spectral power estimation for unevenly spaced motor imagery data

Spectral power estimation for unevenly spaced motor imagery ...

引用

20th International Conference on Neural Information Processing, ICONIP 2013

作者： Li, Junhua Struzik, Zbigniew Zhang, Liqing Cichocki, Andrzej MOE-Microsoft Key Laboratory for Intelligent Information and Intelligent Systems Shanghai Jiao Tong University Shanghai 200240 China Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Saitama 351-0198 Japan

ISBN: (纸本)9783642420535

The human brain can send a command to external devices or communicate with the outside environment by the means of a brain computer interface (BCI) system. The effectiveness depends on how precisely specific brain activities can be identified from EEG. Noise is usually mixed into the EEG signal, and cannot be separated or filtered out in some cases. In a practical BCI system, the whole segment of EEG is discarded when a portion of that segment is contaminated by extreme noise or artifacts. This leads to the weakness that the BCI system cannot output decoding results during the period of that discarded segment. In order to solve this problem, we employed a Lomb-Scargle periodogram to estimate the spectral power based on an unevenly spaced segment, a portion of which has been removed due to noise contamination. According to the classification results of motor imagery data, the accuracy is not dramatically decreased along with increased proportion of data removal. © Springer-Verlag 2013.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

GESTALT SALIENCY: SALIENT REGION DETECTION BASED ON GESTALT PRINCIPLES

GESTALT SALIENCY: SALIENT REGION DETECTION BASED ON GESTALT ...

引用

IEEE International Conference on Image Processing

作者： Jie Wu Liqing Zhang MOE-Microsoft Laboratory for Intelligent Computing and Intelligent Systems Dept. of CSE Shanghai Jiao Tong University

ISBN: (纸本)9781479923427

Salient region detection is of great significance in computer vision such as object recognition, image segmentation and image retrieval. However, low-level saliency has certain limitations due to lack of object level information. In this paper, we propose a saliency detection method based on Gestalt principles in which we introduce mid-level Gestalt concepts for low-level saliency. We propose an algorithm based on Gestalt principles of similarity & anomaly to select and suppress the similar background regions, using variance of clusters of image regions. Moreover, we propose two smoothing procedures based on Gestalt principles of similarity & proximity to group near and similar regions and therefore uniformly high-light the salient object. Experimental results on public data set show that our method performs well compared with state-of-the-art approaches.

关键词： Image saliency Salient region inspection methods Principle-Based Ethics region of an image image retrieval LOW LEVEL images computer vision object level

来源：评论

学校读者我要写书评

暂无评论

Real-time head detection with kinect for driving fatigue detection

Real-time head detection with kinect for driving fatigue det...

引用

20th International Conference on Neural Information Processing, ICONIP 2013

作者： Cao, Yang Lu, Bao-Liang Center for Brain-like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (纸本)9783642420504

Nowadays, depth cameras such microsoft Kinect make it easier and cheaper for us to capture depth images. It becomes practical to use depth images for detection in consumer-grade products. In this paper, we propose a novel and simple real-time method to detect human head in depth image for our driving fatigue detection system, based on the elliptical shape of human head. Experiments show that our method can successfully detect human head in different light conditions and across different head poses. We integrate this detection algorithm into our driving fatigue detection system, and see remarkable improvements both in detection rate and detection speed. © Springer-Verlag 2013.

关键词： Computers

来源：评论

学校读者我要写书评

暂无评论

Improving function word alignment with frequency and syntactic information

Improving function word alignment with frequency and syntact...

引用

23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Zhang, Jingyi Zhao, Hai MOE-Microsoft Key Laboratory of Intelligent Computing and Intelligent System Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

ISBN: (纸本)9781577356332

In statistical word alignment for machine translation, function words usually cause poor aligning performance because they do not have clear correspondence between different languages. This paper proposes a novel approach to improve word alignment by pruning alignments of function words from an existing alignment model with high precision and recall. Based on monolingual and bilingual frequency characteristics, a language-independent function word recognition algorithm is first proposed. Then a group of carefully defined syntactic structures combined with content word alignments are used for further function word alignment pruning. The experimental results show that the proposed approach improves both the quality of word alignment and the performance of statistical machine translation on Chinese-to-English, Germanto- English and French-to-English language pairs.

关键词： Alignment

来源：评论

学校读者我要写书评

暂无评论

Marginalized denoising autoencoder via graph regularization for domain adaptation

Marginalized denoising autoencoder via graph regularization ...

引用

20th International Conference on Neural Information Processing, ICONIP 2013

作者： Peng, Yong Wang, Shen Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai 200240 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States MoE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai 200240 China

ISBN: (纸本)9783642420412

Domain adaptation, which aims to learn domain-invariant features for sentiment classification, has received increasing attention. The underlying rationality of domain adaptation is that the involved domains share some common latent factors. Recently neural network based on Stacked Denoising Auto-Encoders (SDA) and its marginalized version (mSDA) have shown promising results on learning domain-invariant features. To explicitly preserve the intrinsic structure of data, this paper proposes a marginalized Denoising Autoencoders via graph Regularization (GmSDA) in which the autoencoder based framework can learn more robust features with the help of newly incorporated graph regularization. The learned representations are fed into the sentiment classifiers and experiments show that the GmSDA can effectively improve the classification accuracy when comparing with some state-of-the-art models on the cropped Amazon benchmark data set. © Springer-Verlag 2013.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

NEURAL SUBSTRATES OF MOTOR IMAGERY BASED BRAIN-COMPUTER INTERFACE TRAINING FOR STROKE PATIENTS WITH SEVERE UPPER LIMB PARALYSIS

NEURAL SUBSTRATES OF MOTOR IMAGERY BASED BRAIN-COMPUTER INTE...

引用

第七届国际物理医学与康复医学学术大会(7th World Congress of the international society of Physical and Rehabilitation Medicine(ISPRM2013)

作者： Mingfen Li Jie Jia Ye Liu Department of Rehabilitation Huashan Hospital Fudan University MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiao Tong University China

来源：评论

学校读者我要写书评

暂无评论

Converting continuous-space language models into N-gram language models for statistical machine translation

Converting continuous-space language models into N-gram lang...

引用

2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013

作者： Wang, Rui Utiyama, Masao Goto, Isao Sumita, Eiichro Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai200240 China Multilingual Translation Laboratory MASTAR Project National Institute of Information and Communications Technology 3-5 Hikaridai Keihanna Science City Kyoto619-0289 Japan MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai200240 China

ISBN: (纸本)9781937284978

Neural network language models, or continuous-space language models (CSLMs), have been shown to improve the performance of statistical machine translation (SMT) when they are used for reranking n-best translations. However, CSLMs have not been used in the first pass decoding of SMT, because using CSLMs in decoding takes a lot of time. In contrast, we propose a method for converting CSLMs into back-off n-gram language models (BNLMs) so that we can use converted CSLMs in decoding. We show that they outperform the original BNLMs and are comparable with the traditional use of CSLMs in reranking. © 2013 Association for Computational Linguistics.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

Structure preserving low-rank representation for semi-supervised face recognition

Structure preserving low-rank representation for semi-superv...

引用

20th International Conference on Neural Information Processing, ICONIP 2013

作者： Peng, Yong Wang, Suhang Wang, Shen Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai 200240 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai 200240 China

ISBN: (纸本)9783642420412

Constructing an informative and discriminative graph plays an important role in the graph based semi-supervised learning methods. Among these graph construction methods, low-rank representation based graph, which calculates the edge weights of both labeled and unlabeled samples as the low-rank representation (LRR) coefficients, has shown excellent performance in semi-supervised learning. In this paper, we additionally impose twofold constraints (local affinity and distant repulsion) on the LRR graph. The improved model, termed structure preserving LRR (SPLRR), can preserve the local geometrical structure but without distorting the distant repulsion property. Experiments are taken on three widely used face data sets to investigate the performance of SPLRR and the results show that it is superior to some state-of-the-art semi-supervised graphs. © Springer-Verlag 2013.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

An empirical study on word segmentation for Chinese machine translation

An empirical study on word segmentation for Chinese machine ...

引用

14th Annual Conference on intelligent Text Processing and Computational Linguistics, CICLing 2013

作者： Zhao, Hai Utiyama, Masao Sumita, Eiichiro Lu, Bao-Liang MOE-Microsoft Key Laboratory of Intelligent Computing and Intelligent System Shanghai Jiao Tong University #800 Dongchuan Road Shanghai 200240 China Department of Computer Science and Engineering Shanghai Jiao Tong University #800 Dongchuan Road Shanghai 200240 China Multilingual Translation Laboratory MASTAR Project National Institute of Information and Communications Technology 3-5 Hikaridai Keihanna Science City Kyoto 619-0289 Japan

ISBN: (纸本)9783642372551

Word segmentation has been shown helpful for Chinese-to-English machine translation (MT), yet the way different segmentation strategies affect MT is poorly understood. In this paper, we focus on comparing different segmentation strategies in terms of machine translation quality. Our empirical study covers both English-to-Chinese and Chinese-to-English translation for the first time. Our results show the necessity of word segmentation depends on the translation direction. After comparing two types of segmentation strategies with associated linguistic resources, we demonstrate that optimizing segmentation itself does not guarantee better MT performance, and segmentation strategy choice is not the key to improve MT. Instead, we discover that linguistical resources such as segmented corpora or the dictionaries that segmentation tools rely on actually determine how word segmentation affects machine translation. Based on these findings, we propose an empirical approach that directly optimize dictionary with respect to the MT task for word segmenter, providing a BLEU score improvement of 1.30. © 2013 Springer-Verlag.

关键词： Machine translation

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13页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：