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Information Processing (ISIP), 2008 International Symposiums on

Date 23-25 May 2008

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Displaying Results 1 - 25 of 158
  • [Front cover]

    Publication Year: 2008, Page(s): C1
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  • [Title page i]

    Publication Year: 2008, Page(s): i
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  • [Title page iii]

    Publication Year: 2008, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2008, Page(s): iv
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  • Table of contents

    Publication Year: 2008, Page(s):v - xiv
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  • Message from ISIP 2008 Symposium Chairs

    Publication Year: 2008, Page(s): xv
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  • Message from the WMWA 2008 Workshop Chairs

    Publication Year: 2008, Page(s): xvi
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  • ISIP 2008 and WMWA 2008 Organizing Committee

    Publication Year: 2008, Page(s): xvii
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  • ISIP 2008 and WMWA 2008 Committee Members

    Publication Year: 2008, Page(s):xviii - xix
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  • A New Method Based on Goal Programming for Solving Transportation Problem with Fuzzy Cost

    Publication Year: 2008, Page(s):3 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB) | HTML iconHTML

    Factors affecting the shipping cost were not considered in conventional transportation problem. Using the calculation formula of two fuzzy numbers stemmed from the solution of fuzzy equation based on goal programming, the shipping cost of conventional transportation problem is considered and the tabular method for conventional transportation is developed to fuzzy environment in this paper. The opt... View full abstract»

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  • A Query-Sensitive Graph-Based Sentence Ranking Algorithm for Query-Oriented Multi-document Summarization

    Publication Year: 2008, Page(s):9 - 13
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB) | HTML iconHTML

    Graph-based models and ranking algorithms have been drawn considerable attentions from the document summarization community in the recent years. However, in regard to query-oriented summarization, the influence of the query has been limited to the sentence nodes in the previous graph models. We argue that other than the sentence nodes the sentence-sentence edges should also be measured in accordan... View full abstract»

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  • A Decentralized Fusion Algorithm Established in Geodetic Coordinate System for Naval Ships Cooperative Engagement

    Publication Year: 2008, Page(s):14 - 19
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (476 KB) | HTML iconHTML

    Aiming at naval cooperative engagement problem in wide sea battleground, a decentralized fusion architecture based on geodetic coordinate system for naval ships was presented. To increase the performance of maneuvering target tracking and fusion two efforts are made. On the one hand, more appropriate target motion model and observation model based on geodetic coordinate system are provided, on the... View full abstract»

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  • Enhance Algorithm of Hand's Skin Color Base on Multi-method Integration

    Publication Year: 2008, Page(s):20 - 24
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (374 KB) | HTML iconHTML

    Recognition system based on skin color is main method of character detection of face and hand. This paper analyzed some common method of transformation of image enhance on the basis of YCbCr skin color model. A enhance method which is integrated exponential and logarithm transformation is proposed. And according to the shortcoming of fixed threshold, an automatic threshold algorithm with the fishe... View full abstract»

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  • Fast Stereo Matching Algorithm Using Adaptive Window

    Publication Year: 2008, Page(s):25 - 30
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (450 KB) | HTML iconHTML

    Due to fixed window area-based stereo algorithms having given rise to relatively large matching errors around depth discontinuities, a adaptive window for stereo matching algorithm using integral image was proposed in this paper. A new similarity function and Four-direction line mask were employed in initial parallax gain aspect, not only to reduce noise effects but also to improve matching accura... View full abstract»

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  • A Query Expansion Algorithm Based on Phrases Semantic Similarity

    Publication Year: 2008, Page(s):31 - 35
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (347 KB) | HTML iconHTML

    During the indexing process of traditional search engine, web pages become a list of terms, but single term cannot represent the rich content of web pages, which makes information retrieval methods mainly based on terms matching often result in depressed precision. This paper proposes a novel query expansion technique that has phrases as its expansion unit. Phrases typically have a higher informat... View full abstract»

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  • Improvement of Page Ranking Algorithm Based on Timestamp and Link

    Publication Year: 2008, Page(s):36 - 40
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (337 KB) | HTML iconHTML

    The traditional ranking algorithm favors the old pages, which makes old pages always appear on the top of the ranking results when pages are ranked according to the dynamic web by the static ranking algorithm. Therefore, this paper introduces temporal-link-analysis algorithm to resolve the problem. This algorithm uses the last modification time that returned by the HTTP response as the timestamp o... View full abstract»

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  • Pre-filling Based on Community for Sparsity in Collaborative Filtering

    Publication Year: 2008, Page(s):41 - 45
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB) | HTML iconHTML

    Collaborative filtering is a key technique in recommender system and applied widely in E-commerce. In reality, due to data sparseness, similarity of users is computed wrongly, which results that really similar users maybe filtered out while false similar users are exploited to produce recommendation. In this paper, two pre-filling methods based on community, respectively simple pre-filling based o... View full abstract»

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  • Adaptive Algorithm to Vehicle Following Control in Intelligent Transportation System

    Publication Year: 2008, Page(s):46 - 50
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (291 KB) | HTML iconHTML

    In this paper, the Lyapunov second method is used to derive adaptive control laws that can be used to control the spacing between vehicles in a platoon. The decentralized adaptive algorithm to compensate for parametric variations is investigated and the terminal sliding mode longitudinal control laws for each vehicle in the platoon are designed. From the simulation of the vehicle platoon, converge... View full abstract»

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  • GROP: New Algorithm of Optimal Path for GIS-Based Logistics

    Publication Year: 2008, Page(s):51 - 54
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (341 KB) | HTML iconHTML

    The path planning problem has become the most important part in the field of the logistics to cut down the cost of the distribution. But for some special instance, for example, time and traffic jam, purely GIS canpsilat give a direct resolvent. Aiming at this problem, a new method, GROP, GIS and rules-based Optimal Path for logistics, was presented in this paper. Firstly, we institute rules for al... View full abstract»

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  • A Multiclass Machine Learning Approach to Credit Rating Prediction

    Publication Year: 2008, Page(s):57 - 61
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (305 KB) | HTML iconHTML

    Corporate credit ratings are important financial indicators of investment risks. Traditional credit rating models employ classical econometrics methods with heteroscedasticity adjustments across various industries. In this paper, we propose using machine learning techniques in predicting corporate ratings and demonstrate, empirically, that multiclass machine learning algorithms outperform traditio... View full abstract»

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  • Identification of Hammerstein Model of Intelligence Sensor Based on Hybrid Neural Networks

    Publication Year: 2008, Page(s):62 - 67
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (378 KB) | HTML iconHTML

    An identification method based on hybrid neural networks for Hammerstein model is investigated in this paper to analyze the nonlinear dynamic system of intelligence sensor, and the corresponding algorithm is presented. In this model, the nonlinear dynamic characteristic of sensor is expressed by cascading a nonlinear static subunit (NLSS) with a linear dynamic subunit (LDS). According to the chara... View full abstract»

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  • Classify the Majority of the Total Bytes on the Internet

    Publication Year: 2008, Page(s):68 - 72
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (331 KB) | HTML iconHTML

    Traffic classification methods developed rapidly. Most of these methods have focused on high flow accuracy. However, the majority of the total bytes are occupied by a small part of flows. This flows may include P2P streaming, P2P file sharing, worms or DoS attack etc. Their effect to the Internet is far more than the general applications. In this paper, we first analyze this type of applications a... View full abstract»

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  • A Set-Pair Analysis Method Based on Grey System Theory

    Publication Year: 2008, Page(s):73 - 77
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (299 KB) | HTML iconHTML

    The expression forms of uncertainty are various in true lives. Research and processing of the uncertainty are a much important question which is not only faced currently by many subjects but also must be resolved. Among the numerous methods, the Grey System theory and Set Pair Analysis are newly evolved and acquire broad applications in many fields. The paper utilizes the grey system theory to pro... View full abstract»

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  • A Novel Naive Bayesian Text Classifier

    Publication Year: 2008, Page(s):78 - 82
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    The naive Bayesian (NB) classifier is one of the simple but most efficient and stable classification methods. The great efficiency of NB is mainly because of the conditionally independence assumption among the attributes, which is problematic in practice especially while the attributes are strongly correlated. In this paper, we propose a novel NB text classifier, package and combined naive Bayesia... View full abstract»

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  • Wasp Algorithm for Dynamic Scheduling Based on Manufacturing Grid

    Publication Year: 2008, Page(s):83 - 87
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (226 KB) | HTML iconHTML

    To resolve dynamic job scheduling problem efficiently in manufacturing grid, a manufacturing grid system based on two-layer structure is proposed. This paper applies the theory of wasp colonypsilas interaction with environment to dynamic job shop scheduling and constructs a wasp-based scheduling decision mechanism. This paper also analyzes urgent events and rescheduling methods to deal with them r... View full abstract»

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