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  • Jia Wenjing; He Xiangjian; Wu Qiang (IEEE Computer Society, 2010)
    In this paper, a novel color coocurrence histogram method, named eCCH which stands for color cooccurence histogram at edge points, is proposed to describe the spatial-color joint distribution of images. Unlike all existing ...
  • Lai Johnny; Leung Frank; Ling Steve (IEEE, 2010)
    In this paper, a modified Differential Evolution (DE) that incorporates double wavelet-based operations is proposed to handle a load flow problem. The wavelet based operation is embedded in the DE mutation and crossover ...
  • Liu Li; Kong Xiaoying; Chen Jing (Southern Cross University, 2006)
    As agile methodologies are being adopted by increasing number of organizations, there is a greater need to understand its value. This study attempts to explain the value of Agile Methodologies by introducing a new economic ...
  • Zheng Lihong; He Xiangjian (Australian Computer Society, 2004)
    Accurately locating edge points is important for image measurement. This paper describes an edge detection method based on back-propagation algorithm of neural networks. A three-layer structure of artificial neural network ...
  • Hintz Thomas; He Xiangjian; Wu Qiang (CSREA Press, 2004)
    Gradient-based edge detection is a straightforward method to identify the edge points in the original greylevel image. It is intuitive that in the human vision system the edge points always appear where the greylevel value ...
  • He Xiangjian; Wu Qiang; Hintz Thomas (CSREA Press, 2003)
    Edge map is considered as an important entity containing most of object features in an image. Many computer vision systems rely on the use of the boundary line information to perform the object recognition tasks. ...
  • Nguyen Tuan; Nguyen Dinh (IEEE Computer Society, 2010)
    Dual feedback control algorithm has proved to allow the base station to respond quickly and efficiently to the uplink bandwidth request in broadband wireless access (BWA) networks [2][3]. In this algorithm the bandwidth ...
  • Milton John; Kennedy Paul; Mitchell Heather (Springer-Verlag, 2005)
    We use an information theory approach to investigate the role of mutation on Genetic Algorithms (GA). The concept of solution alleles representing information in the GA and the associated concept of information density, ...
  • Nanda Priyadarsi; Simmonds Andrew (Imperial College Press, 2007)
  • El Shawi Radwa; He Xiangjian (IEEE, 2008)
    This paper proposes new approaches for image representation to bridge the gap between visual features and semantics. Two new combined feature extraction approaches are used to extract significant features from images. Each ...
  • Wang Wei; Xiao Chuan; Lin Xuemin; Zhang Chengqi (ACM, 2009)
    Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respect to a large dictionary of known entities, ...
  • Xu Zhangyan; Zhang Chengqi; Zhang Shichao; Song Wei; Yang Bingru (Springer-Verlag, 2007)
  • Zhang Shichao; Wang Rifeng; Guo Yanping (Springer-Verlag, 2006)
    Multi-Feature Cube (MF-Cube) query is a complex-data-mining query based on data cubes, which computes the dependent complex aggregates at multiple granularities. Existing computations designed for simple data cube queries ...
  • Zheng Zhigang; Zhao Yanchang; Zuo Ziye; Cao Longbing (Springer Berlin / Heidelberg, 2010)
    Negative sequential pattern mining has attracted increasing concerns in recent datamining research because it considers negative relationships between itemsets, which are ignored by positive sequential pattern mining. ...
  • Ni Jiarui; Zhang Chengqi (Springer-Verlag, 2005)
    Some trading strategies are becoming more and more complicated and utilize a large amount of data, which makes the backtesting of these strategies very time consuming. This paper presents an efficient implementation of ...
  • Zhao Yanchang; Zhang Huaifeng; Cao Longbing; Zhang Chengqi; Bohlscheid Hans-Michael (IEEE Computer Society, 2008)
    Traditional sequential pattern mining deals with positive sequential patterns only, that is, only frequent sequential patterns with the appearance of items are discovered. However, it is often interesting in many applications ...
  • Vo Nhat; Challa Subhash; Vo Duc; Lee Sungyoung (IEEE, 2008)
    Compressed sensing (CS), a joint compression and sensing process, is a emerging field of activity in which the signal is sampled and simultaneously compressed at a greatly reduced rate. In CS, the projection matrix is ...
  • Jan Tony; Tsai Po-Hsiang; Piccardi Massimo; Hintz Thomas (IEEE Press, 2004)
    In multimedia applications such as MPEG-4, an ejicient model is required to encode and classih @ideo objects such as human, car and building. Recently Su,?port Vector Machine (SVM) has been shown to be a good c!assijer: ...
  • Simon Simply; Sheard Judithe; Carbone Angela; De Raadt Michael; Hamilton Margaret; Lister Raymond; Thompson Errol (National Advisory Committee on Computing Qualifications, 2008)
    Abstract: The 157 computing education papers from the past eight NACCQ conferences are categorised and summarised by a group of researchers from multiple institutions, with steps taken to measure and improve the consistency ...
  • Khoury, G. R; Simoff, S. J (Australian Computer Society, 2004)
    Metaphors are generally accepted as essential to the design of effective human computer interfaces. However, “The generally assumed theoretical benefits of user interface metaphor are supported by surprisingly little ...