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  • 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] ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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)
  • 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 ...
  • Sola, J; Vidal Calleja, Teresa; Civera, J; Montiel, Jmm (SPRINGER, 2012)
    This paper explores the impact that landmark parametrization has in the performance of monocular, EKF-based, 6-DOF simultaneous localization and mapping (SLAM) in the context of undelayed landmark initialization. Undelayed ...
  • Vorisek, Jiri; Feuerlicht, George (Inderscience Enterprises Ltd., 2004)
    Many organisations are re-evaluating their approach to delivering enterprise applications, and are looking for ways to control IT costs. There is growing evidence of reluctance to fund large-scale implementation projects, ...
  • Ying, Mingsheng (IEEE-Inst Electrical Electronics Engineers Inc, 2002)
    The choice of fuzzy implication as well as other connectives is an important problem in the theoretical development of fuzzy logic, and at the same time, it Is significant for the performance of the systems In which fuzzy ...
  • Chen, Xiaoming; Chung, Y.Y.; Yeh, Wei-Chang; Bergmann, N.; Wahid, N.; Shukran, M.A.M. (Canadian Center of Science and Education, 2011)
    This paper focuses on error correction and concealment technologies for the modern video encoding/decoding standards. In this paper, we present a subblock error concealment method for intra-frames based on an error ...
  • Yeh, Wei-Chang (IEEE-Inst Electrical Electronics Engineers Inc, 2011)
    Evaluating multistate flow network reliability and reducing system cost are important tasks when planning and designing systems. Existing methods are based on (d, c)-minimal paths ((d, c)-MP), which are vectors, such that ...
  • Cheng, Xiaochun; Ouyang, Dantong; Jiang, Yunfei; Zhang, Chengqi (Elsevier Science Bv, 2005)
    This paper presents an improved model-based reasoning method to test circuit faults. The testing procedure is applicable even when the target system contains multiple faulty modes. Using our method, the observation could ...
  • Komkhao, Maytiyanin; Lu, Jie; Li, Zhong; Halang, Wolfgang (Taylor and Francis Ltd, 2013)
    Recommender systems, as an effective personalization approach, can suggest best-suited items (products or services) to particular users based on their explicit and implicit preferences by applying information filtering ...
  • Wen, Ling; Gao, Xinbo; Li, Xuelong; Tao, Dacheng; Li, Jie (Elsevier Science Bv, 2010)
    The distinguishment between the object appearance and the background is the useful cues available for visual tracking in which the discriminant analysis is widely applied However due to the diversity of the background ...
  • Sun, Jimeng; Tao, Dacheng; Papadimitriou, Spiros; Yu, Philip; Faloutsos, Christos (Association for Computing Machinery, Inc., 2008)
    How do we find patterns in author-keyword associations, evolving over time? Or in data cubes (tensors), with product-branchcustomer sales information? And more generally, how to summarize high-order data cubes (tensors)? ...
  • Wen, Jing; Gao, Xinbo; Yuan, Yuan; Tao, Dacheng; Li, Jie (Elsevier Science Bv, 2010)
    Most existing color-based tracking algorithms utilize the statistical color information of the object as the tracking clues, without maintaining the spatial structure within a single chromatic image. Recently, the researches ...
  • Paisitkriangkrai, Sakrapee; Shen, Chunhua; Zhang, Jian (IEEE-Inst Electrical Electronics Engineers Inc, 2011)
    The ability to efficiently and accurately detect objects plays a very crucial role for many computer vision tasks. Recently, offline object detectors have shown a tremendous success. However, one major drawback of offline ...