Proceedings. International Conference on Machine Learning and Cybernetics

4-5 Nov. 2002

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  • 2002 International Conference on Machine Learning and Cybernetics [front matter]

    Publication Year: 2002, Page(s):0_1 - 0_23
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  • Author index

    Publication Year: 2002, Page(s):2257 - 2265
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  • A research on graph-based model of MAS

    Publication Year: 2002, Page(s):2077 - 2081 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB) | HTML iconHTML

    The paper provides a new paradigm to use Bayesian-net model to build a new multi-agent system (MAS). We use influenced diagrams as a modeling representation of agents, which is used to interact with them to predict their behavior. We provide a framework that an agent can use to learn the model of other agents in a MAS system based on their observed behavior. Since the correct model Is usually unkn... View full abstract»

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  • A neural network approach for 3-D face shape reconstruction

    Publication Year: 2002, Page(s):2073 - 2076 vol.4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB) | HTML iconHTML

    In this paper, a novel approach for 3D face shape recovery based on neural network is presented. A learning vector quantization network architecture based on varying parameters and eliminating is developed that learns the correction of gender patterns and recognizes facial expressions of human faces. To achieve robustness in viewing, the network is trained with a wide range of illumination and con... View full abstract»

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  • DCA-Tree: a high performance structure for incremental update cube on MDDW

    Publication Year: 2002, Page(s):2069 - 2072 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    MOLAP (multidimensional online analytical processing) is an important application on multidimensional data warehouse. We often execute range queries on aggregate cube computed by pre-aggregate technique in MOLAP. In this paper, we propose an high performance and incremental update cube which can reduce the update cost significantly while maintaining reasonable search efficiency, by using an index ... View full abstract»

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  • Comparative study on various pruning algorithms for RNN. I. Complexity analysis

    Publication Year: 2002, Page(s):2225 - 2230 vol.4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (417 KB) | HTML iconHTML

    Owing to the computational complexity requirement, pruning a fully connected recurrent neural network (RNN) would be ineffective for large size RNN. In this paper several non-heuristic pruning algorithms for fully connected RNN are investigated, some of them are extended from extended Kalman filter based approaches and some of them are based on weight magnitude, together with some techniques on th... View full abstract»

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  • CJK knowledge management in multi-agent m-learning system

    Publication Year: 2002, Page(s):1983 - 1986 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    With the increasing worldwide availability of the Internet and the web content being accessible internationally and mobility, the e-learning industry faced a tremendous development from off-tine to on-line In recent years and the model Is expanded to support in-Learning for thin-clients devices. However, QJK data handling in knowledge management is still a critical issue for m-Learning development... View full abstract»

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  • An optimal point in scheduling real-time tasks process based on fault tolerant imprecise computation model

    Publication Year: 2002, Page(s):2063 - 2068 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (390 KB) | HTML iconHTML

    Fault tolerance is an important issue due to the critical nature of the supported tasks of real-time computer systems, since timing constraints must not be violated. The imprecise computation technique has been proposed as a way to handle transient overload and to enhance fault tolerant of real-time systems. This paper introduces an exact theoretical analysis for the imprecise computation model ba... View full abstract»

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  • Induction of ordinal decision trees

    Publication Year: 2002, Page(s):2220 - 2224 vol.4
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (407 KB) | HTML iconHTML

    In many disciplines, such as social and behavioral sciences, we often have to do ordinal classification by assigning objects to ordinal classes. The fundamental objective of ordinal classification is to create an ordering in the universe of discourse. As such, a decision tree for ordinal classification should aim at producing an ordering which is most consistent with the implicit ordering in the i... View full abstract»

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  • Agent-based transactional framework for the supply chain

    Publication Year: 2002, Page(s):1956 - 1961 vol.4
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (494 KB) | HTML iconHTML

    We propose a framework for supporting manufacturing activities as part of the supply chain management The manufacturing process is seen as a network of processing nodes where products are either transformed or assembled. Each node is endowed with some autonomy that enables it to enhance. the agility, and the 'fluidity' of the manufacturing process. Nodes are able to search for the. best deals on t... View full abstract»

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  • Study of bifurcation in current-controlling DC/DC converters

    Publication Year: 2002, Page(s):2005 - 2009 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    Begins with a description of the chaotic dynamics and bifurcation scenarios observed in power electronics circuits. Simple boost DC/DC converters are used as representative examples to illustrate the modeling approaches that are capable of retaining the essential qualitative properties. Furthermore, we present a detailed discussion of the modeling methods to explain nonlinear phenomena such as bif... View full abstract»

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  • Genetic algorithm optimized resource activity critical path method

    Publication Year: 2002, Page(s):1978 - 1982 vol.4
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (460 KB) | HTML iconHTML

    This paper presents enhanced version of resource-activity critical path method (RACPM) optimized by genetic algorithms (GA-RACPM) for resource-constrained project scheduling. The GA formulation is given and the GA-RACPM has been coded into a computer program, which is then used to solve a benchmark problem in the literature. The results show that GA-RACPM has greatly improved the computing perform... View full abstract»

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  • Experimental verification for zero power control of 0.5KWh class flywheel system using magnetic bearing with gyroscopic effect

    Publication Year: 2002, Page(s):2059 - 2062 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (305 KB) | HTML iconHTML

    This paper proposes a new method on how to construct the reduced-order model of rotor system with, gyroscopic effect used for control system design of closed loop system. In order to demonstrate the validity of this method, the controlled model and zero power control of a 0.5KWh class flywheel system using magnetic bearing with gyroscopic effect are given in this paper. The proposed method is veri... View full abstract»

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  • Image compression based on wavelet transform and vector quantization

    Publication Year: 2002, Page(s):1778 - 1780 vol.4
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (277 KB) | HTML iconHTML

    This paper presents an image compression scheme that uses the wavelet transform and neural network. Firstly, image is decomposed at different scales by using the wavelet transform. Then, the different quantization and. coding schemes for each sub-image are carried out in accordance with its statistical properties and distributed properties of the wavelet coefficients. The wavelet coefficients in l... View full abstract»

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  • Input dimensionality reduction for radial basis neural network classification problems using sensitivity measure

    Publication Year: 2002, Page(s):2214 - 2219 vol.4
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB) | HTML iconHTML

    The curse of dimensionality is always problematic in pattern classification problems. We provide a brief comparison of the major methodologies for reducing input dimensionality and summarize them in three categories: correlation among features, transformation and neural network sensitivity analysis. Furthermore, we propose a method for reducing input dimensionality that uses a stochastic RBFNN sen... View full abstract»

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  • Distant BI-Gram model, collocation, and their applications in post-processing for Chinese character recognition

    Publication Year: 2002, Page(s):2251 - 2255 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (386 KB) | HTML iconHTML

    In this paper, we present a distant BI-Gram model, which extended the regular BI-Gram model by considering the distance information and weight parameters, in order to describe the long-distance restrictions among the Chinese sentence. The extraction of the statistical information and weight parameters of this language model is discussed. Based on this work, the word combination strength and spread... View full abstract»

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  • Locus factor & coding scheme

    Publication Year: 2002, Page(s):1951 - 1955 vol.4
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    The performance of genetic algorithms depends on their coding schemes. In this paper, an implicit relationship between the coding alphabet sizes and the periods of periodical functions is given. This. relationship may help to choose the alphabet size in the coding design of a genetic algorithm. View full abstract»

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  • Image retrieval using object template

    Publication Year: 2002, Page(s):2090 - 2096 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (468 KB) | HTML iconHTML

    How to mine, organize and use the information of the objects in an image, which can just reflect the user's intension precisely, is overlooked for a long time. From the point of view of mining, training and utilizing such information efficiently, this paper focuses on a particular group of features for every class of object. With this group of features, the class of object can be separated with ot... View full abstract»

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  • Learning translation models from the Web

    Publication Year: 2002, Page(s):1999 - 2004 vol.4
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (502 KB) | HTML iconHTML

    Query translation is-the key problem in cross-language information retrieval. It can be made by exploiting a large set of parallel texts. We describe a mining system that automatically discovers parallel Web pages on the Web. This system exploits the existing search engines, and the common characteristics in the organization of Web pages. Several large text corpora have been constructed using this... View full abstract»

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  • A wavelet-based method for fingerprint image enhancement

    Publication Year: 2002, Page(s):1973 - 1977 vol.4
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (620 KB) | HTML iconHTML

    The performance of AFIS (automatic fingerprint identification system) is heavily determined by the quality of the input image. Thus an effective method to enhance the fingerprint image is essential in each system. A new method based on the wavelet decomposition is proposed in this paper. We combine the texture filter method mostly used in nowadays with wavelet transform to achieve a more reliable ... View full abstract»

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  • A retrieval model in multiple level image information

    Publication Year: 2002, Page(s):2055 - 2058 vol.4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    In this paper, the features of image are analyzed, and a multiple granularity hierarchy description model is proposed. Based on the model, a hierarchy image retrieval model is proposed. View full abstract»

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  • Online handwritten English word recognition based on cascade connection of character HMMs

    Publication Year: 2002, Page(s):1758 - 1761 vol.4
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (350 KB) | HTML iconHTML

    In this paper, a cascade connection hidden Markov model (CCHMM) method for online English word recognition is proposed. This model, which allows state transition, skip and duration, extends the way of HMM pattern description of handwriting English words. According to the statistic probabilities, the behavior of handwriting curve may be depicted more precisely. The Viterbi algorithm for the cascade... View full abstract»

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  • DFL nonlinear control design and its application in water-level nonlinear plant

    Publication Year: 2002, Page(s):1774 - 1777 vol.4
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    Designs of adaptive controllers to improve the performance of water-level nonlinear plants have been a topic of research for a long time. Few papers, however, have considered both the stability enhancement and speed increment of the dynamic response of the plant using adaptive controllers. The aim of this paper is to present the design of "direct feedback linearization" (DFL), which can solve the ... View full abstract»

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  • Classification of gait patterns combining their spatial and temporal properties

    Publication Year: 2002, Page(s):1894 - 1898 vol.4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB) | HTML iconHTML

    Gait analysis and classification is very important in medical diagnostics as well as athletic performance analysis. In this paper, we present a method combining spatial and temporal properties of features to classify different gait patterns. These features are angle data coming from gait kinematics. Mixture models are used to approximate the spatial distribution of features while stationary Markov... View full abstract»

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  • Emotion recognition of speech based on RNN

    Publication Year: 2002, Page(s):2210 - 2213 vol.4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (314 KB) | HTML iconHTML

    Emotion recognition has various methods. Mainly, it can be performed by visual or aural methods. We know that it is possible to recognize people's emotion by only sound data. We use the pitch of speech as a main feature. We define features of four emotions (normal, angry, laugh, surprise) in pitch analysis. Based on this feature pattern, we implement a simulator using VC++. First of all, this simu... View full abstract»

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