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Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem

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  1. Chapter and Conference Paper

    Hybridization of the Ant Colony Optimization with the K-Means Algorithm for Clustering

    In this paper the novel concept of ACO and its learning mechanism is integrated with the K-means algorithm to solve image clustering problems. The learning mechanism of the proposed algorithm is obtained by us...

    Sara Saatchi, Chih Cheng Hung in Image Analysis (2005)

  2. Chapter and Conference Paper

    Image Segmentation Using Dynamic Run-Length Coding Technique

    In this study, a new segmentation algorithm based on a modified Dynamic Window-based gray-level Run-Length Coding (DW-RLC) applied to neighboring pixels is proposed. The method is applied to gray scale images,...

    William O. McCallister, Chih-Cheng Hung in Image Analysis (2003)