Browsing 08 Information and Computing Sciences by Title

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Browsing 08 Information and Computing Sciences by Title

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  • Yu, Jeffrey; Ou, Yuming; Zhang, Chengqi; Zhang, Shichao (IEEE Computer Soc, 2005)
    Web site owners have trouble identifying customer purchasing patterns from their Web logs because the two aren't directly related. Thus, organizations must understand their customers' behavior, preferences, and future ...
  • Yan, Xiaowei; Zhang, Chengqi; Zhang, Shichao (World Scientific Publ Co Pte Ltd, 2004)
    Identifying software component association is useful for component management and component retrieval. In this paper we design an evolutionary strategy to understand software structure better and identify software component ...
  • Wang, C; Yang, J; Miao, Bq; Cao, Longbing (Elsevier Inc, 2013)
    In this work, we redefined two important statistics, the CLRT test [Z. Bai, D. Jiang, J. Yao, S. Zheng, Corrections to LRT on large-dimensional covariance matrix by RMT, The Annals of Statistics 37 (6B) (2009) 3822?3840] ...
  • Fang, Meng; Zhu, Xingquan (IEEE, 2012)
    Active learning traditionally assumes that the oracle is capable of providing labeling information for each query instance. In reality, the oracle might have no information for some queries and cannot provide accurate label ...
  • 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 ...
  • Gao, Xinbo; Xiao, Bing; Tao, Dacheng; Li, X L (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 ...
  • Shukran, Mohd; Chung, Yuk; Yeh, Wei-Chang; Wahid, Noorhaniza; Zaidi, Ahmad (Canadian Center of Science and Education, 2011)
    Image classification is becoming ever more important as the amount of available multimedia data increases. With the rapid growth in the number of images, there is an increasing demand for effective and efficient image ...
  • Hintz, Thomas; Wu, Qiang (CSREA Press, 2003)
  • Kwok, Ngai; Jia, Xiuping; Wang, D; Ha, Quang; Chen, S; Fang, Gu (IEEE, 2010)
    Image contrast enhancement is a fundamental and important pre-processing stage in the application of image processing techniques. Among revenues of possible approaches, histogram equalization is a popular and attractive ...
  • Wu, Qiang; Hintz, Thomas; He, Sean (University of West Bohemia, 2001)
  • Jia, Wenjing; Zhang, Huaifeng; Wu, Qiang; He, Sean (IEEE, 2006)
    In this paper, a novel colour edge cooccurrence histogram (CECH) method is proposed to match images by measuring similarities between their CECH histograms. Unlike the previous colour edge cooccurrence histogram proposed ...
  • Wu, Qiang; He, Sean (IGI Global, 2010)
    Spiral Architecture is a relatively new and powerful approach to image processing. It contains very useful geometric and algebraic properties. Based on the abundant research achievements in the past decades, it is shown ...
  • Gao, Xinbo; Lu, Wen; Tao, Dacheng; Li, Xuelong (IEEE-Inst Electrical Electronics Engineers Inc, 2009)
    Reduced-reference (RR) image quality assessment (IQA) has been recognized as an effective and efficient way to predict the visual quality of distorted images. The current standard is the wavelet-domain natural image ...
  • He, Lihuo; Gao, Xinbo; Lu, Wen; Li, Xuelong; Tao, Dacheng (Springer London Ltd, 2011)
    This paper proposes a new image quality assessment framework which is based on color perceptual model. By analyzing the shortages of the existing image quality assessment methods and combining the color perceptual model, ...
  • Lu, Wen; Gao, Xinbo; Li, Xuelong; Tao, Dacheng (IEEE, 2008)
    In reduced-reference (RR) image quality assessment (IQA), the visual quality of distorted images is evaluated with only partial information extracted from original images. In this paper, by considering the information of ...
  • Song, Mingli; Tao, Dacheng; Liu, Zicheng; Li, Xuelong; Zhou, Mengchu (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    Video-based facial expression recognition is a challenging problem in computer vision and human-computer interaction. To target this problem, texture features have been extracted and widely used, because they can capture ...
  • Atkinson, Chris; Avison, David; Wilson, David (Reagan Ramsower at Baylor University, 2003)
  • Zhang, Kaibing; Gao, Xinbo; Tao, Dacheng; Li, Xuelong (IEEE, 2013)
    In this paper, we employ the non-local steering kernel regres- sion to construct an effective regularization term for the sin- gle image super-resolution problem. The proposed method seamlessly integrates the properties ...
  • Gao, Xiaoshan; Zhang, Kang; Tao, Dacheng; Li, X (IEEE-Inst Electrical Electronics Engineers Inc, 2012)
    Until now, neighbor-embedding-based (NE) algorithms for super-resolution (SR) have carried out two independent processes to synthesize high-resolution (HR) image patches. In the first process, neighbor search is performed ...
  • Ye, Yuhuang; Li, Jianmin; Jia, Wenjing; Wu, Qiang; He, Sean (Springer, 2009)
    Spiral Architecture, a hexagonal image structure is a novel and powerful approach to machine vision system. The pixels on Spiral architecture are geometrically arranged using a 1D (Spiral) addressing scheme in an ascending ...