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    Chapter and Conference Paper

    Identifying Relevant Subgraphs in Large Networks

    Structural relationships between objects are used to model as graphs in many applications. In this paper, we study the problem of identifying relevant subgraphs in large networks. Relevant subgraphs in large n...

    Zheng Liu, Shuting Guo, Tao Li, Wenyan Chen in Web Technologies and Applications (2016)

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    Chapter and Conference Paper

    Variance Based Determination of Three-Way Decisions Using Probabilistic Rough Sets

    The probabilistic rough sets is an important generalization of rough sets where a pair of thresholds is used to form new rough regions. The pair of thresholds controls different quality related criteria such a...

    Nouman Azam, **g Tao Yao in Rough Sets (2016)

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    Chapter and Conference Paper

    Acquisition and Representation of Knowledge for Academic Field

    With the rapid development of Internet, a large number of academic resources are available for researchers. How to organize these resources and represent them well is a big challenge. This paper proposes a nov...

    Jie Yu, Haiqiao Wu, Chao Tao, Lingyu Xu in Web Technologies and Applications (2016)

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    Chapter and Conference Paper

    Towards Coordination Game Formulation in Game-Theoretic Rough Sets

    Game-theoretic rough set model (GTRS) is a recent advancement in determining three rough set regions by formulating games between multiple measures. GTRS has been focusing on researching competitive games in w...

    Yan Zhang, **g Tao Yao in Rough Sets (2016)

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    Chapter and Conference Paper

    Efficient Iris Image Segmentation for ATM Based Approach Through Fuzzy Entropy and Graph Cut

    In order to realize accurate personal identification in the ATMS, an efficient iris image segmentation approach based on the fuzzy 4-partition entropy and graph cut is presented which can not only yield noisy ...

    Shibai Yin, Yibin Wang, Tao Wang in Trends and Applications in Knowledge Disco… (2016)

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    Chapter and Conference Paper

    What Is in Front? Multiple-Object Detection and Tracking with Dynamic Occlusion Handling

    This paper proposes a multiple-object detection and tracking method that explicitly handles dynamic occlusions. A context-based multiple-cue detector is proposed to detect occluded vehicles (occludees). First,...

    Junli Tao, Markus Enzweiler, Uwe Franke in Computer Analysis of Images and Patterns (2015)

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    Chapter and Conference Paper

    Branching Bisimilarity Checking for PRS

    Recent studies reveal that branching bisimilarity is decidable for both nBPP (normed Basic Parallel Processes) and nBPA (normed Basic Process Algebras). These results lead to the question if there are any othe...

    Qiang Yin, Yuxi Fu, Chaodong He, Mingzhang Huang in Automata, Languages, and Programming (2014)

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    Chapter and Conference Paper

    The Research of Thermal Power Unit Based on Improved Neural Network Generalized Predictive Control

    With the development of electric power, Large-scale Generating Unit in heat power plant is a system which is complex,nonlinear and difficulty to establish accurate model, and etc. So it is hard to make system ...

    Licong Yuan, Hujun Ling, Tao Sun in Advances in Brain Inspired Cognitive Systems (2013)

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    Chapter and Conference Paper

    An Enhanced Multi-Agent System with Evolution Mechanism to Approximate Physarum Transport Networks

    The primitive unicellular organism slime mould Physarum Polycephalum has attracted much attention from researchers of both biology and computer science fields. Biological experiments have revealed that its foragi...

    Yuheng Wu, Zili Zhang, Yong Deng, Huan Zhou in AI 2012: Advances in Artificial Intelligen… (2012)

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    Chapter and Conference Paper

    Rough Kernel Clustering Algorithm with Adaptive Parameters

    Through analyzing kernel clustering algorithm and rough set theory, a novel clustering algorithm, Rough kernel k-means clustering algorithm with adaptive parameters, is proposed for clustering analysis in this...

    Tao Zhou, Huiling Lu, Deren Yang in Artificial Intelligence and Computational … (2011)

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    Chapter and Conference Paper

    Optimal Path Detection in Wireless Sensor Networks

    In this paper we propose a novel approach for optimal path discovery. We consider how to combine the existing optimal path detection tools to achieve better results under the constraint of resource such as ene...

    Lv Tao, Zhu Qing-**n, Zhang Luqiao in High Performance Networking, Computing, an… (2011)

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    Chapter and Conference Paper

    Learning Colours from Textures by Sparse Manifold Embedding

    The capability of inferring colours from the texture (grayscale contents) of an image is useful in many application areas, when the imaging device/environment is limited. Traditional colour assignment involves...

    Jun Li, Wei Bian, Dacheng Tao in AI 2011: Advances in Artificial Intelligence (2011)

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    Chapter and Conference Paper

    Decoding Optimization for Chinese-English Machine Translation via a Dependent Syntax Language Model

    Decoding is a core process of the statistical machine translation, and determines the final results of it. In this paper, a decoding optimization for Chinese-English SMT with a dependent syntax language model ...

    Ying Liu, Zhengtao Yu, Tao Zhang, **ng Zhao in Artificial Intelligence and Computational … (2011)

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    Chapter and Conference Paper

    Synchronization of Symmetry Network

    Many real networks have been found to have a rich degree of symmetry, which is a universal structural property of network, yet the synchronization of the symmetry network has not been full studied. Hence, we i...

    Shaohua Tao in High Performance Networking, Computing, and Communication Systems (2011)

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    Chapter and Conference Paper

    Study on Intelligence Detection of Methane Gas Based on NDIR Technology

    In this paper, with regards to the disadvantages of traditional gas sensor used in mine, an intelligent infrared detection method for methane gas based on Non-dispersive Infrared technology is presented. Throu...

    Yong-zhi Liang, **ng-fu Rong, Bing Li in Emerging Research in Artificial Intelligen… (2011)

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    Chapter and Conference Paper

    Game Theoretic Approach in Routing Protocol for Cooperative Wireless Sensor Networks

    A game theoretic method, called the first price sealed auction game, was introduced to control routing overhead in wireless sensor networks in this paper. The players of the game are the wireless nodes with se...

    Qun Liu, Tao Wu in Advances in Swarm Intelligence (2011)

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    Chapter and Conference Paper

    Bio-Inspired Dynamic Composition and Reconfiguration of Service-Oriented Internetware Systems

    Dynamic composition and reconfiguration of service-oriented Internetware systems are of paramount importance as we can not pre-define everything during the design time of a software system. Recent biology stud...

    Huan Zhou, Zili Zhang, Yuheng Wu, Tao Qian in Advances in Swarm Intelligence (2011)

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    Chapter and Conference Paper

    A Compromised Large-Scale Neighborhood Search Heuristic for Cargo Loading Planning

    In this work, we propose a compromised large-scale neighborhood, which is embedded in simulated annealing to solve a cargo loading planning problem arising in logistics industry. It is “compromised” because it...

    Yanzhi Li, Yi Tao, Fan Wang in AI 2007: Advances in Artificial Intelligence (2007)

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    Chapter and Conference Paper

    Mining Maximal Frequent ItemSets Using Combined FP-Tree

    Maximal frequent itemsets mining is one of the most fundamental problems in data mining. In this paper, we present CfpMfi, a new depth-first search algorithm based on CFP-tree for mining MFI. Based on the new ...

    Yue** Yan, Zhoujun Li, Tao Wang in AI 2004: Advances in Artificial Intelligen… (2005)

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    Chapter and Conference Paper

    A General Image Based Nematode Identification System Design

    Nematodes are primitive organisms which nonetheless devour many of the essential resources that are critical for human beings. For effective and quick inspection and quarantine, we propose a general image base...

    Bai-Tao Zhou, Won Nah, Kang-Woong Lee in Computational Intelligence and Security (2005)

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