检索结果-内蒙古大学图书馆

作者： Xie, Yuelei Chang, Hong Li, Zhe Liang, Luhong Chen, Xilin Zhao, Debin China Key Laboratory of Intelligent Information Processing CAS China School of Computer Science and Technology Harbin Institute of Technology China

ISBN: (纸本)9781457703942

In this paper, we present a pose based approach for locating and recognizing human actions in videos. In our method, human poses are detected and represented based on deformable part model. To our knowledge, this is the first work on exploring the effectiveness of deformable part models in combining human detection and pose estimation into action recognition. Comparing with previous methods, ours have three main advantages. First, our method does not rely on any assumption on video preprocessing quality, such as satisfactory foreground segmentation or reliable tracking;Second, we propose a novel compact representation for human pose which works together with human detection and can well represent the spatial and temporal structures inside an action;Third, with human detection taken into consideration in our framework, our method has the ability to locate and recognize multiple actions in the same scene. Experiments on benchmark datasets and recorded cluttered videos verified the efficacy of our method. © 2011 IEEE.

关键词： Deformation

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis for Intrusion Target Detection in Wireless Sensor Networks

引用

电子学报(英文版) 2011年第4期20卷 725-729页

作者： FAN Gaojuan WANG Ruchuan HUANG Haiping SUN Lijuan XIAO Fu College of Computer Nanjing University of Posts and Telecommunications Nanjing Chin School of Computer and Information Engineering Henan University Kaifeng China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education of Jiangsu Province Nanjing China

Target detection and field surveillance are among the most prominent applications of wireless sensor networks. The quality of detection achieved by a sensor network can be quantified by evaluating the probability of detecting a mobile target crossing a sensing field. Detection probability of sensor nodes has been studied in sensor networks for many purposes such as quality of service and decision making. However, the sensing capabilities of sensors are affected by environmental factors in real deployment. This paper investigates the problem of detecting probability in a log-normal shadow fading environment. It presents an analytic method to evaluate the detection probability by at least k sensors under practical considerations. Furthermore, we also shows that shadow fading makes significant influence in detection probability compared to unit disk sensing model through extensive simulation experiments.

关键词：无线传感器网络目标检测性能分析入侵检测概率环境因素阴影衰落传感器节点

来源：评论

学校读者我要写书评

暂无评论

Research of event pronoun resolution

Research of event pronoun resolution

引用

2011 International Conference on Asian Language processing, IALP 2011

作者： Zhang, Ning Kong, Fang Li, Peifeng JiangSu Provincial Key Lab. for Computer Information Processing Technology Soochow University Suzhou China School of Computer Science and Technology Soochow University Suzhou China

ISBN: (纸本)9780769545547

Event anaphora resolution plays an important role in discourse analysis. In comparison with general noun phrases, pronouns carry little information of themselves, resolving the event pronouns is a more difficult task. This paper proposes a machine learning-based framework for event pronoun resolution. All kinds of features, including both flat and structural features, are explored for event pronoun resolution. Experiments on OntoNotes corpus show that both flat and structural features are very effective for this task. © 2011 IEEE.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Research of noun phrase coreference resolution

Research of noun phrase coreference resolution

引用

2011 International Conference on Asian Language processing, IALP 2011

作者： Gao, Junwei Kong, Fang Li, Peifeng Zhu, Qiaoming JiangSu Provincial Key Lab. for Computer Information Processing Technology Soochow University Suzhou China School of Computer Science and Technology Soochow University Suzhou China

ISBN: (纸本)9780769545547

Coreference resolution is an important subtask in natural language processing systems. The process of it is to find whether two expressions in natural language refer to the same entity in the world. Machine learning approaches to this problem have been reasonably successful, operating primarily by recasting the problem as a classification task. A great deal of research has been done on this task in English, using approaches ranging from those based on linguistics to those based on machine learning. In Chinese, however, much less work has been done in this area. The lack of public resources is a big problem in the research of Chinese NLP. The other problem is that some features are more difficult to get than those features of English. In this paper, We present a noun phrase coreference system that refers to the work of Soon et al. (2001). We also explore the impact of various features on our system's performance. Experiments on the Chinese portion of OntoNotes 3.0 show that the platform achieves a good performance. © 2011 IEEE.

关键词： Natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

Research on cross-document coreference of Chinese person name

Research on cross-document coreference of Chinese person nam...

引用

2011 International Conference on Asian Language processing, IALP 2011

作者： Ni, Ji Kong, Fang Li, Peifeng Zhu, Qiaoming JiangSu Provincial Key Lab. for Computer Information Processing Technology Soochow University Suzhou China School of Computer Science and Technology Soochow University Suzhou China

ISBN: (纸本)9780769545547

In reality, different persons often have the same person name. The Person Cross Document Co-reference Resolution is a task, which requires that all and only the textual mentions of an entity of type Person be individuated in a collection of text documents. In this paper, we implement a Chinese Person Name Cross Document Co-reference Resolution System. First, we utilize name identification module to recognize all person names of the texts, and then classify the document collection of same person name by rules preliminarily, and at last, we compute similarities of each classification based on VSM, according to the prior similarities, the system get the final classification results. We test the system on 30 usual Chinese names of the corpus provided by CLP, and average F measure is 85.9%. © 2011 IEEE.

关键词： information retrieval systems

来源：评论

学校读者我要写书评

暂无评论

An algorithm to find optimal independent spanning trees on twisted-cubes

An algorithm to find optimal independent spanning trees on t...

引用

2011 4th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2011

作者： Wang, Yan Fan, Jianxi Han, Yuejuan School of Computer Science and Technology Soochow University Suzhou 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University China

ISBN: (纸本)9780769545752

Multiple independent spanning trees have applications to fault tolerance and data broadcasting in distributed networks. There is a conjecture on independent spanning trees: any n-connected graph has n independent spanning trees rooted at an arbitrary vertex. The conjecture has been confirmed only for n-connected graphs with n ≤ 4, and it is still open for arbitrary n-connected graphs when n ≥ 5. In this paper, we provide a construction algorithm to find n independent spanning trees for the n-dimensional twisted-cube TN n, where N denotes the number of vertices in TNn. And for n ≥ 3, the height of each independent spanning tree on TNn is n+1. © 2011 IEEE.

关键词： Fault tolerance

来源：评论

学校读者我要写书评

暂无评论

Wavelet weighted multi-modulus blind equalization algorithm based on fractional lower order statistics

Wavelet weighted multi-modulus blind equalization algorithm ...

引用

作者： Xu, Fang Guo, Yecai Guo, Jun Nanjing University of Information Science and Technology Nanjing Jiangsu 210044 China Jiangsu Technology and Engineering Center of Meteorological Sensor Network Nanjing Jiangsu 210044 China Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing Jiangsu 210044 China

ISBN: (纸本)9783642259883

When environmental noise keeps to fractional lower order α-stable distribution, the convergence performance of the traditional blind equalization algorithm is unstable. To overcome the deficiency, on the basis of combining weighted multi-modulus blind equalization algorithm (WMMA) with fractional lower order statistics (FLOS), a wavelet weighted multi-modulus blind equalization algorithm based on FLOS is proposed. This proposed algorithm uses FLOS to suppress the α-stable noise, utilizes WMMA to adjust the modulus in the cost function, and uses normalized orthogonal wavelet transform to reduce the autocorrelation of the input signals. The computer simulation indicates that the proposed algorithm is suitable for the equalization of higher order QAM signals. Compared with constant modulus algorithm based on FLOS and WMMA based on FLOS, the convergence performance of this proposed algorithm is superior. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Blind equalization

来源：评论

学校读者我要写书评

暂无评论

Trusted Routing Based on Identity-Based Threshold Signature for Opportunistic Networks

引用

China Communications 2011年第4期8卷 132-140页

作者：陈曦田有亮李兴华马建峰 Key Laboratory of Computer Networks and Information Security Ministry of EducationXidian University Networking and Information Processing Laboratory Rochester Institute of Technology

In opportunistic Networks,compromised nodes can attack social context-based routing protocols by publishing false social attributes *** solve this problem,we propose a security scheme based on the identity-based threshold signature which allows mobile nodes to jointly generate and distribute the secrets for social attributes in a totally self-organized way without the need of any centralized *** joining nodes can reconstruct their own social attribute signatures by getting enough partial signature services from encounter opportunities with the initial *** nodes need to testify whether the neighbors can provide valid attribute signatures for their routing advertisements in order to resist potential routing *** results show that:by implementing our security scheme,the network delivery probability of the social context-based routing protocol can be effectively improved when there are large numbers of compromised nodes in opportunistic networks.

关键词： opportunistic networks social context-based routing identity-based signature threshold cryptography

来源：评论

学校读者我要写书评

暂无评论

Salient region detection and segmentation for general object recognition and image understanding

引用

Science China(information Sciences) 2011年第12期54卷 2481-2490页

作者： HUANG TieJun 1 , TIAN YongHong 1 , LI Jia 2 & YU HaoNan 11 National Engineering laboratory for Video technology, School of Electrical Engineering and computer Science, Peking University, Beijing 100871, China 2 key laboratory of Intelligent information processing, Institute of Computing technology, Chinese Academy of Sciences, Beijing 100190, China 1. National Engineering Laboratory for Video Technology School of Electrical Engineering and Computer Science Peking University Beijing 100871 China2. Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

General object recognition and image understanding is recognized as a dramatic goal for computer vision and multimedia retrieval. In spite of the great efforts devoted in the last two decades, it still remains an open problem. In this paper, we propose a selective attention-driven model for general image understanding, named GORIUM (general object recognition and image understanding model). The key idea of our model is to discover recurring visual objects by selective attention modeling and pairwise local invariant features matching on a large image set in an unsupervised manner. Towards this end, it can be formulated as a four-layer bottom-up model, i.e., salient region detection, object segmentation, automatic object discovering and visual dictionary construction. By exploiting multi-task learning methods to model visual saliency simultaneously with the bottom-up and top-down factors, the lowest layer can effectively detect salient objects in an image. The second layer exploits a simple yet effective learning approach to generate two complementary maps from several raw saliency maps, which then can be utilized to segment the salient objects precisely from a complex scene. For the third layer, we have also implemented an unsupervised approach to automatically discover general objects from large image set by pairwise matching with local invariant features. Afterwards, visual dictionary construction can be implemented by using many state-of-the-art algorithms and tools available nowadays.

关键词： object recognition image understanding visual saliency salient object segmentation visual dictionary

来源：评论

学校读者我要写书评

暂无评论

Automated essay scoring using multi-classifier fusion

Automated essay scoring using multi-classifier fusion

引用

2011 International Conference on Computing, information and Control, ICCIC 2011

作者： Bin, Li Jian-Min, Yao Anhui Radio and Television University Hefei China Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou China

ISBN: (纸本)9783642240096

The method of multi-classifier fusion was applied to essay scoring. In this paper, each essay was represented by Vector Space Model (VSM). After removing the stopwords, we extracted the features of contents and linguistics from the essays, and each vector was expressed by corresponding weight. Three classical approaches including Document Frequency (DF), information Gain (IG) and Chi-square Statistic (CHI) were used to select features by some predetermined thresholds. According to the experimental results, we classified the test essay to appropriate category using different classifiers, such as Naive Bayes (NB), K Nearest Neighbors (KNN) and Support Vector Machine (SVM). Finally the ensemble classifier was combined by those component classifiers. After training for multi-classifier fusion technique, the experiments on CET4 essays about same topic in Chinese Learner English Corpus (CLEC) show that precision over 73% was achieved. © 2011 Springer-Verlag.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：