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International Seminar on Future Information Technology and Management Engineering, FITME

作者： Si Li Lei Du Weiran Xu Jun Guo Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China

Weblog is widely used, and the number of users is increasing rapidly. Weblog reflects every aspect of the society, such as politics, economy and culture, so the topic relevance retrieval research on Weblog becomes necessary. Because of a lot of noise in the corpus and it is usually difficult to obtain the appropriate query, the common methods sometimes fail to reach an acceptable precision. We design a Modified Topic Relevance Retrieval system (MTRRS) containing query formulation and a combination model. To design the query, manual adjustment and machine learning are used. During the machine learning processing, we define a center word list which helps to generate a novel distance feature. The result can be improved 22.97% on MAP by query formulation. The results of document retrieval model and passage retrieval model are combined. 33.55% increase on MAP can be received. Also by using the combination model, the retrieval result of the semi-machine learning query is closely approaching the manually adjusted result.

关键词： Internet Information services Web sites Machine learning Feedback Information retrieval Search engines Content based retrieval Information technology Conference management

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Using SIFT for the Filtering of Chinese Text in Image of Multimedia Message Service

Using SIFT for the Filtering of Chinese Text in Image of Mul...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： ChunXiao Ma Chuang Zhang ZhiQing Lin Pattern Recognition & Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China

With the popularity of MMS, the multimedia messages which include sensitive information are increasing rapidly. In the paper, a novel framework of a MMS filtering for Chinese sensitive text in image is presented. An effective method is applied to detect and filter sensitive texts in image of multimedia message which could easily be transmitted through the mobile communication network without being monitored at recent stage. The detection and recognition of sensitive text are achieved by using SIFT feature, which is proper to the characteristics of the text in image of multimedia message and get an accurate result. The method has a good practical application value.

关键词： Message service Information filtering Information filters Multimedia systems Monitoring Image recognition Text recognition Internet Feature extraction Image resolution

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A comparative performance analysis of CMOS XOR XNOR circuits

A comparative performance analysis of CMOS XOR XNOR circuits

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International Conference on Recent Innovations in Signal processing and Embedded systems (RISE)

作者： Trapti Sharma Laxmi Kumre Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509047611

This work presents the contemplate review of diverse approaches employed to design XOR/XNOR circuits, as these circuits are the nucleus circuit for numerous computational intensive arithmetic circuits in VLSI. This paper describes the comparative analysis of performance evaluation of various reported XOR and XNOR circuits designs. The different designs are compared by performing the transistor level simulations on the benchmark circuit using HSPICE on 90nm PTM CMOS technology and analyzing the results in comprehensive manner. Based on the intensive simulations, the XOR/XNOR designs with feedback transistors outperforms well in comparison to other previously existing circuits in terms of high speed, low power and output voltage without any logic degradation with high noise tolerance capability.

关键词： Transistors Logic gates Adders Degradation Feedback loop Delays Integrated circuit modeling

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Block and parallel modelling of broad domain nonlinear continuous mapping based on NN

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Journal of systems Engineering and Electronics 2006年第3期17卷 586-592页

作者： Yang Guowei Tu Xuyan Wang Shoujue Inst. of Pattern Recognition and Intelligent System Qingdao Univ. Qingdao 266071 P. R. China Laboratory of Artificial Neural Network Inst. of Semiconduetors Chinese Academy of Sciences Beijing 100083 P. R. China Inst. of Computer and System Science Univ. of Science and Technology Beijing Beijing 100083 P. R. China

The necessity of the use of the block and parallel modeling of the nonlinear continuous mappings with NN is firstly expounded quantitatively. Then, a practical approach for the block and parallel modeling of the nonlinear continuous mappings with NN is proposed. Finally, an example indicating that the method raised in this paper can be realized by suitable existed software is given. The results of the experiment of the model discussed on the 3-D Mexican straw hat indicate that the block and parallel modeling based on NN is more precise and faster in computation than the direct ones and it is obviously a concrete example and the development of the large-scale general model established by Tu Xuyan.

关键词： model nonlinear continuous mapping neural network parallel modelling.

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IU-Module: Intersection and Union Module for Fine-Grained Visual Classification

IU-Module: Intersection and Union Module for Fine-Grained Vi...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Yixiao Zheng Dongliang Chang Jiyang Xie Zhanyu Ma Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications

ISBN: (数字)9781728113319

ISBN: (纸本)9781728113326

A predominant viewpoint in previous works of fine-grained visual classification (FGVC) is to the localize discriminative parts by auxiliary networks and extract the part-based finegrained features for classification. In this paper, we propose a simple yet effective approach by introducing an intersection and union module (IU-Module). The IU-Module aims to capture more discriminative features by 1) dividing features into distinct groups, 2) sharing parts of interests within each group, and 3) adding a differentiation loss to reduce the similarity among those grouped feature channels. Without adding any new learnable parameters, the proposed approach imposes two straightforward operations, namely channel intersection (CI) and channel union (CU) operations, on the convolutional features and achieves competitive results compared with the state-of-the-art methods. Experimental results on three publicly available FGVC datasets show the effectiveness of the IU-Module. Ablation studies and visualizations are also provided to make further demonstrations.

关键词： Feature extraction Visualization Task analysis Automobiles Semantics Toy manufacturing industry Atmospheric modeling

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A SESSION-ORIENTED RETRIEVAL MODEL BASED ON MARKOV RANDOM FIELD

A SESSION-ORIENTED RETRIEVAL MODEL BASED ON MARKOV RANDOM FI...

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The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Yasi Gao Chuang Zhang Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

In this paper,we study how to use the search session information to improve the retrieval *** propose a session-oriented retrieval model based on Markov random *** model introduces the correlations between query terms as a retrieval factor into the retrieval *** also presents a dynamic update algorithm based on the analysis of users' search *** model implements a complete session-oriented information retrieval framework *** use ClueWeb09 category B dataset and TREC 2010 (2011) Session dataset to quantitatively evaluate the *** results show that our model can improve retrieval performance substantially using the search session information.

关键词： Information retrieval Implicit feedback Search session Markov random field Term dependence

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Semi-supervised Learning for Automatic Audio Events Annotation Using TSVM

Semi-supervised Learning for Automatic Audio Events Annotati...

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The 2010 International Conference on Computer Application and system Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Rongyan Wang Gang Liu Jun Guo Zhenxin Ma Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781424472352

Most previous approaches to automatic audio events (Aes) annotation are based on supervised learning which relies on the availability of a labeled corpus to train classification models. However, instance annotation is often difficult, expensive, and time consuming. In this paper, we apply semi-supervised learning with transductive Support Vector Machine (TSVM) algorithm to automatic Aes annotation. Besides, considering about the presence of outliers which degrade the generalization and the classification performance, we propose a confidence-based method for samples selection. In our experiments based on the melodrama Friends corpus, the proposed method can effectively use unlabeled data to improve the classification performance with only a small amount of the labeled data.

关键词： audio events (Aes) TSVM semi-supervised learning sample selection

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A TWEETS RECOMMENDATION ALGORITHM BASED ON USER RELATIONSHIP AND TEXT EMOTIONAL TENDENTIOUSNESS

A TWEETS RECOMMENDATION ALGORITHM BASED ON USER RELATIONSHIP...

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The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Xi Wang Bo Xiao Zhiqing Lin Yueming Lu Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

Micro-blog,also known as twitter,is a platform which is based on user relationships for information sharing,spreading and *** how to share the messages in micro-blog efficiently based on the users' interest with analyzing the user information has become a key research *** to the analysis of the micro-blog user relationship and the theory of Analytic Hierarchy Process in the management science,this paper establishes a user influence model,to help explain how the target users affect the core *** the combination of Word Activation Forces Theory,we put forward an algorithm to express the emotional tendentious of each noun-word in all the *** addition,we calculate and find the corresponding tweets to recommend to the core user and the experiment in this paper proves the effectiveness of the algorithm.

关键词： User relationship WAF Emotional tendentiousness Tweets recommendation Micro-blog

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Robust Back-Stepping Controller on SO(3) for a Quadrotor Attitude Tracking

Robust Back-Stepping Controller on SO(3) for a Quadrotor Att...

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International Conference on Modelling, Identification and Control (ICMIC)

作者： Chao Liu Shengyi Yang Dacan Luo Jianqiu Zhou Faculty of key Laboratory of Pattern Recognition and Intelligent System of Guizhou Province Guizhou Minzu University

In this paper, a robust back-stepping controller evolved on SO(3) is developed for maneuvering attitude tracking of a quad rotor. The controller is developed on the configuration manifold SO(3), which avoids singularity and ambiguity existing in the traditional methods. In this controller, the back-stepping method is evolved on SO(3) to handle the nonlinearity and complexity of the quadrotor system. Besides, a sliding-mode method is adopted to defeat the external disturbances and uncertainties, which improves the robustness of the system. Besides, stability analyses are discussed and simulation results are provided to show the performance of the controller.

关键词： Mathematical model Manifolds Aerospace electronics Attitude control Uncertainty Lyapunov methods pattern recognition

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REAL-TIME QUALITY CONTROL FOR CROWDSOURCING RELEVANCE EVALUATION

REAL-TIME QUALITY CONTROL FOR CROWDSOURCING RELEVANCE EVALUA...

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The 3rd IEEE International Conference on Network Infrastructure and Digital Content (2012年第三届IEEE网络基础设施与数字内容国际会议(IEEE IC-NIDC2012))

作者： Tao Xia Chuang Zhang Jingjing Xie Tai Li Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing 100876 China

In recent years,crowdsourcing has become an effective method in many fields,such as relevance evaluation of search engine ***,the problems of bad workers and quality control always stand among the major challenges within the *** on our experiments carried out in TREC 2011 Crowdsourcing track,this paper demonstrates a realtime strategy in recruiting workers and monitoring the quality of their relevance and rank *** effectiveness of our strategy has been verified by empirical results.

关键词： Crowdsourcing Real-time Quality control Relevance assessment

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