Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem

    Assembly line balancing problem are widespread in manufacturing industries such as electronics or auto parts. As an efficient metaheuristic, cross-entropy (CE) method can be applied to solve mixed model U-shap...

    Yi-Fan Zheng, Rong Hu, Bin Qian, Ling Wang in Intelligent Computing Theories and Applica… (2019)

  2. No Access

    Chapter and Conference Paper

    Basic Level Advantage during Information Retrieval: An ERP Study

    Categorization concept could be divided into three levels according to the degree of generalization: superordinate, basic and the subordinate levels. To investigate the neural mechanism of concept information ...

    Sanxia Fan, Xuyan Wang, Zhizhou Liao, Zhoujun Long, Haiyan Zhou in Brain Informatics (2012)

  3. No Access

    Chapter and Conference Paper

    Object Detection Combining Recognition and Segmentation

    We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation step and a verification step. In the top...

    Liming Wang, Jianbo Shi, Gang Song, I-fan Shen in Computer Vision – ACCV 2007 (2007)

  4. No Access

    Chapter and Conference Paper

    Efficient 3D Face Reconstruction from a Single 2D Image by Combining Statistical and Geometrical Information

    In this paper, we present an efficient algorithm for reconstructing 3D head model from a single 2D image based on using a 3D eigenhead model. This system is composed of two components, offline training of the ...

    Shu-Fan Wang, Shang-Hong Lai in Computer Vision – ACCV 2006 (2006)

  5. No Access

    Chapter and Conference Paper

    Feature Selection for Fast Image Classification with Support Vector Machines

    According to statistical learning theory, we propose a feature selection method using support vector machines (SVMs). By exploiting the power of SVMs, we integrate the two tasks, feature selection and classifi...

    Zhi-Gang Fan, Kai-An Wang, Bao-Liang Lu in Neural Information Processing (2004)