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    Chapter and Conference Paper

    An Efficient Data Access Method Exploiting Quadtrees on MapReduce Frameworks

    Due to the advance of diverse techniques such as social networks and sensor networks, the volume of data to be processed has rapidly increased. After Google proposed the MapReduce framework which processes big...

    Hyunho Noh, Jun-Ki Min in Database Systems for Advanced Applications (2013)

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    Chapter and Conference Paper

    Online Gesture Recognition for User Interface on Accelerometer Built-in Mobile Phones

    Recently, several smart phones are equipped with a 3D-accelerometer that can be used for gesture-based user interface (UI). In order to utilize the gesture UI for the real-time systems with various users, the ...

    BongWhan Choe, Jun-Ki Min, Sung-Bae Cho in Neural Information Processing. Models and … (2010)

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    Chapter and Conference Paper

    WT-Heuristics: A Heuristic Method for Efficient Operator Ordering

    In this paper, we focus on the processing of stream data whose characteristics vary unpredictably by over time. Particularly, we suggest a method which generates an efficient operator execution order called WT...

    Jun-Ki Min in Advances in Databases: Concepts, Systems and Applications (2007)

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    Chapter and Conference Paper

    An Efficient Encoding and Labeling for Dynamic XML Data

    In order to efficiently determine structural relationships among XML elements and to avoid re-labeling for updates, much research about labeling schemes has been conducted, recently. However, a harmonic suppor...

    Jun-Ki Min, Jihyun Lee, Chin-Wan Chung in Advances in Databases: Concepts, Systems a… (2007)

  5. Chapter and Conference Paper

    Ensemble Approaches of Support Vector Machines for Multiclass Classification

    Support vector machine (SVM) which was originally designed for binary classification has achieved superior performance in various classification problems. In order to extend it to multiclass classification, on...

    Jun-Ki Min, **-Hyuk Hong, Sung-Bae Cho in Pattern Recognition and Machine Intelligence (2007)

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    Chapter and Conference Paper

    Multiple Classifier Fusion Using k-Nearest Localized Templates

    This paper presents a method for combining classifiers that uses k-nearest localized templates. The localized templates are estimated from a training set using C-means clustering algorithm, and matched to the dec...

    Jun-Ki Min in Intelligent Data Engineering and Automated Learning - IDEAL 2007 (2007)