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Mechanical Engineering

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Marquette University

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Pattern recognition

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Full-Text Articles in Engineering

One-Class-At-A-Time Removal Sequence Planning Method For Multiclass Classification Problems, Chieh-Neng Young, Chen-Wen Yen, Yi-Hua Pao, Mark L. Nagurka Nov 2006

One-Class-At-A-Time Removal Sequence Planning Method For Multiclass Classification Problems, Chieh-Neng Young, Chen-Wen Yen, Yi-Hua Pao, Mark L. Nagurka

Mechanical Engineering Faculty Research and Publications

Using dynamic programming, this work develops a one-class-at-a-time removal sequence planning method to decompose a multiclass classification problem into a series of two-class problems. Compared with previous decomposition methods, the approach has the following distinct features. First, under the one-class-at-a-time framework, the approach guarantees the optimality of the decomposition. Second, for a K-class problem, the number of binary classifiers required by the method is only K-1. Third, to achieve higher classification accuracy, the approach can easily be adapted to form a committee machine. A drawback of the approach is that its computational burden increases rapidly with the number of classes. …


A False Acceptance Error Controlling Method For Hyperspherical Classifiers, Chen-Wen Yen, Chieh-Neng Young, Mark L. Nagurka Mar 2004

A False Acceptance Error Controlling Method For Hyperspherical Classifiers, Chen-Wen Yen, Chieh-Neng Young, Mark L. Nagurka

Mechanical Engineering Faculty Research and Publications

Controlling false acceptance errors is of critical importance in many pattern recognition applications, including signature and speaker verification problems. Toward this goal, this paper presents two post-processing methods to improve the performance of hyperspherical classifiers in rejecting patterns from unknown classes. The first method uses a self-organizational approach to design minimum radius hyperspheres, reducing the redundancy of the class region defined by the hyperspherical classifiers. The second method removes additional redundant class regions from the hyperspheres by using a clustering technique to generate a number of smaller hyperspheres. Simulation and experimental results demonstrate that by removing redundant regions these two …