2012 International Conference on Machine Learning and Cybernetics

15-17 July 2012

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  • [Covers]

    Publication Year: 2012, Page(s):c1 - c4
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  • [Title page]

    Publication Year: 2012, Page(s):1 - 2
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  • Greetings from the General Chairs

    Publication Year: 2012, Page(s):I - III
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  • [Committees]

    Publication Year: 2012, Page(s):IV - VI
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  • List reviewer

    Publication Year: 2012, Page(s):VII - XI
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  • [Blank page]

    Publication Year: 2012, Page(s): XII
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  • Contents

    Publication Year: 2012, Page(s):1 - 4
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  • Particle swarm optimization algorithms for mini-benchmark problems

    Publication Year: 2012, Page(s):1656 - 1661
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (640 KB) | HTML iconHTML

    Simulated annealing, genetic algorithms, evolutionary programming, swarm intelligence, and ant colony optimization are active research areas in Smart and intelligent innovative algorithms. In particular, Particle Swarm Intelligence (PSI) attracts more attentions because of its simplicity and time efficiency. Recent advance on PSI research includes a classification of PSI or Particle Swarm Optimiza... View full abstract»

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  • A genetic-search model for first-day returns using IPO fundamentals

    Publication Year: 2012, Page(s):1662 - 1667
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (659 KB) | HTML iconHTML

    In this paper, we present a study of genetic-based stock selection models using the data of fundamentals of initial public offerings (IPOs). The stock selection model intends to derive the relative quality of the IPOs in order to obtain their relative rankings. Top-ranked IPOs can be selected to form a portfolio. In this study, we also employ Genetic Algorithms (GA) for optimization of model param... View full abstract»

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  • Fundus phase congruency based biometrics system

    Publication Year: 2012, Page(s):1668 - 1674
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (904 KB) | HTML iconHTML

    This paper presents a novel biometric authentication method using retinal fundus images. Phase congruency is computed on both RGB and YCbCr channel for vessel segmentation and the Fourier components are used to detect edges. By applying pair threshold values on the phase congruent image, retinal blood vessel tree is acquired. Three different features are used and all combinations of the features a... View full abstract»

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  • Dermatological disease diagnosis using color-skin images

    Publication Year: 2012, Page(s):1675 - 1680
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (840 KB) | HTML iconHTML

    This paper presents an automated dermatological diagnostic system. Etymologically, dermatology is the medical discipline of analysis and treatment of skin anomalies. The system presented is a machine intervention in contrast to human arbitration into the conventional medical personnel based ideology of dermatological diagnosis. The system works on two dependent steps - the first detects skin anoma... View full abstract»

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  • A study of appling BPNN to robot speech interface

    Publication Year: 2012, Page(s):1681 - 1685
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (618 KB) | HTML iconHTML

    For robot manipulation, it does not only require accuracy but also a fast response if possible. Neural Network has the advantages of high tolerance of error and has the ability of parallelism calculation. When applying to the real time speech recognition system, through one time computation then can get the recognition result immediately, that is different from other methods like VQ, DTW, HMM. So,... View full abstract»

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  • Detecting emotion model in e-learning system

    Publication Year: 2012, Page(s):1686 - 1691
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (696 KB) | HTML iconHTML

    Affective computing is computing that relates to human affects things. In this research, it proposed a teaching model with affective computing. It uses a novel method to detect learner's emotion and adjust emotion when learner's emotion without in positive emotion status. The detecting emotion teaching model uses emotion management module that include the detecting emotion and emotion map function... View full abstract»

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  • A power efficient data dissemination scheme for wireless sensor networks with mobile sinks

    Publication Year: 2012, Page(s):1692 - 1697
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (524 KB) | HTML iconHTML

    In this paper, we propose a power efficient data dissemination (PEDD) scheme for wireless sensor networks (WSNs) with mobile sinks. A source proactively constructs a grid structure to disseminate data to the mobile sinks. For each grid point, a cost function is applied to choose a dissemination node to serve it. Only the dissemination nodes are in working mode, while the other sensor nodes just fa... View full abstract»

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  • A high performance algorithm for puzzle reconstruction problem

    Publication Year: 2012, Page(s):1698 - 1703
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1030 KB) | HTML iconHTML

    Since a puzzle solver, for the puzzle reconstruction problem, can be applied to many other real world problems, various studies have focused on improving the end result of the puzzle solvers they proposed for several years. In spite of these efforts, the puzzle reconstruction problem, however, has never fully solved by using a search algorithm with a limited computation time. In this paper, and ef... View full abstract»

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  • The approach of using fractal dimension and linguistic descriptors in CBIR

    Publication Year: 2012, Page(s):1704 - 1707
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (378 KB) | HTML iconHTML

    In this paper we describe a system which uses linguistic expression and fractal dimensions to retrieve images in database. Brodaz texture images are used for our experiment. In addition, Taruma features are used to extract images of the database and several linguistic expressions are used for classified the images. These linguistic expressions, with the help of fractal dimension are more efficient... View full abstract»

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  • Design a location-time based ethnic advertising recommendation system using degree of memberships

    Publication Year: 2012, Page(s):1708 - 1714
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1536 KB) | HTML iconHTML

    Traditional recommendation systems are mostly based on similarity discrimination which requires sufficient data and recommends high correlated items. It becomes very difficult to accurately recommend products when data are not enough. Thus, the research about Cold Start Problem becomes important which emphasizes in effective item recommendation when too little data are provided. In this work, we p... View full abstract»

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  • Option moneyness classification using support vector machine

    Publication Year: 2012, Page(s):1715 - 1720
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (545 KB) | HTML iconHTML

    Determining the theoretical price for an option, or option pricing, is regarded as one of the most important issues in financial research. In recent years, linear and non-linear GARCH (Generalized AutoRegressive Conditional Heteroskedasticity) models were used to estimate volatility. However, the empirical analysis of various different volatility model estimations has not achieved consistent resul... View full abstract»

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  • A mashup-based adaptive learning system

    Publication Year: 2012, Page(s):1721 - 1726
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1012 KB) | HTML iconHTML

    This study aims to build, using Felder and Silverman's Learning Style Theory and Mashup technology, an adaptive learning system to help students improve their learning effect. In this system, Felder and Silverman's Learning Style Theory is used to gain an understanding of students' learning styles to enable them to engage in adaptive learning according to their respective learning styles. Addition... View full abstract»

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  • An intersection-based coverage algorithm for PEGASIS architecture in Wireless sensor networks

    Publication Year: 2012, Page(s):1727 - 1731
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (547 KB) | HTML iconHTML

    In Wireless sensor networks (WSNs), the energy of sensor node is finite, it's an important issue that how to reduce the energy consumption and extend the lifetime of entire network. In power-efficient gathering in sensor information systems (pEGASIS) topology architecture, the energy consumption of each sensor node is fewer and more average than low-energy adaptive clustering hierarchy (LEACH). Ac... View full abstract»

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  • A sound-source localization system using three-microphone array and crosspower spectrum phase

    Publication Year: 2012, Page(s):1732 - 1736
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (567 KB) | HTML iconHTML

    A sound source localization system is implemented that uses only three microphones to input sound signals. This system can estimate the azimuth and elevation of a sound source in real-time and in sufficient accuracy. We add a SNR measure besides spectra entropy to help detect voiced frames. Next, synchronous FFT phase copying is adopted, and cross-power spectrum phase is calculated to estimate TDO... View full abstract»

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  • Intelligent systems on the cloud for the early detection of chronic kidney disease

    Publication Year: 2012, Page(s):1737 - 1742
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (542 KB) | HTML iconHTML

    This paper aims to construct intelligence models by applying the technologies of artificial neural networks including back-propagation network (BPN), generalized feed forward neural networks (GRNN), and modular neural network (MNN) are developed respectively for the early detection of chronic kidney disease (CKD). The comparison of accuracy, sensitivity, and specificity among three models is subse... View full abstract»

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  • Fast exemplar-based image inpainting approach

    Publication Year: 2012, Page(s):1743 - 1747
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1233 KB) | HTML iconHTML

    This paper presents a way to improve the computation efficiency of exemplar-based inpainting approach in [4]. Note that the inpainting approach in [4] has computation redundancy in searching optimal patches in source region and updating fill front. A scheme to reduce source region and a modified scheme to update fill front are proposed. With the two schemes, better computation efficiency is expect... View full abstract»

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  • A stack-based Markov model in web page navigability measure

    Publication Year: 2012, Page(s):1748 - 1753
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (441 KB) | HTML iconHTML

    Usability is critical to the success of a website and good navigability enhances the usability. Hence the navigability is the most important issue in designing websites. Many navigability measures have been proposed with different aspects. Applying information theory, a stack-based Markov model is proposed to represent the structure of a website and to include more surfing behavior. The dynamic us... View full abstract»

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  • Applying layered multi-population genetic programming on learning to rank for information retrieval

    Publication Year: 2012, Page(s):1754 - 1759
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1258 KB) | HTML iconHTML

    Information retrieval (IR) returns a relative ranking of documents with respect to a user query. Learning to rank for information retrieval (LR4IR) employs supervised learning techniques to address this problem, and it aims to produce a ranking model automatically for defining a proper sequential order of related documents based on the query. The ranking model determines the relationship degree be... View full abstract»

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