Browsing Closed by Author "Xiao, Bing"

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Browsing Closed by Author "Xiao, Bing"

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  • Xiao, Bing; Gao, Xinbo; Tao, Dacheng; Li, Xuelong (Elsevier Sci Ltd, 2013)
    Face recognition is one of the biometric identification methods with the highest potential. The existing face recognition algorithms relying on the texture information of face images are affected greatly by the variation ...
  • Xiao, Bing; Gao, Xinbo; Tao, Dacheng; Li, Xuelong (John Wiley & Sons Inc, 2008)
    Most of the existing graph edit distance (GED) algorithms require cost functions which are difficult to be defined exactly. In this article, we propose a cost function free algorithm for computing GED. It only depends on ...
  • Gao, Xinbo; Xiao, Bing; Tao, Dacheng; Li, Xuelong (Pergamon-Elsevier Science Ltd, 2008)
    This paper presents a novel algorithm for computing graph edit distance (GED) in image categorization. This algorithm is purely structural, i.e., it needs only connectivity structure of the graph and does not draw on node ...
  • Xiao, Bing; Gao, Xinbo; Tao, Dacheng; Li, Xuelong (Elsevier Science Bv, 2009)
    Face recognition by sketches in photos remains a challenging task. Unlike the existing sketch-photo recognition methods, which convert a photo into sketch and then perform the sketch-photo recognition through sketch-sketch ...
  • Xiao, Bing; Gao, Xinbo; Tao, Dacheng; Yuan, Yuan; Li, Jie (Elsevier Science Bv, 2010)
    This paper aims to reducing difference between sketches and photos by synthesizing sketches from photos, and vice versa, and then performing sketch-sketch/photo-photo recognition with subspace learning based methods. ...
  • Gao, Xinbo; Xiao, Bing; Tao, Dacheng; Li, Xuelong (Springer, 2010)
    Inexact graph matching has been one of the significant research foci in the area of pattern analysis. As an important way to measure the similarity between pairwise graphs error-tolerantly, graph edit distance (GED) is the ...