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Browsing Conference Papers by Title

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  • Chandran Daniel (Beijing Institute of Technology Press, 2002)
    Businesses are now engaging in new technology to do business in a more successful way. They face constant pressure to speed up operations and perform efficient and effective services. E-Commerce has the capacity to ...
  • 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 ...
  • Bogdanovych Anton; Berger Helmut; Simoff Simeon; Sierra Carles (IADIS Press, 2004)
    Many researchers have paid close attention in the recent past to 3D product presentation in E-Commerce systems. Surprisingly, not many practical results have been shown. In this paper we outline the reasons for the lack ...
  • 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 ...
  • He Xiangjian; Jia Wenjing; Wu Qiang (Assumption Univeristy,Bangkok, 2004)
    This paper examines the gradient-based edge detection algorithm on hexagonal grids and compares it with that on conventional rectangular grids. Since there is no mature hardware for hexagonal-based image capture and ...
  • 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. ...
  • Jan Tony; Krishna Aneesh; Piccardi Massimo; Hintz Thomas (2002 Image and Vision Computing New Zealand, 2002)
    In this paper, a hybrid model is introduced which combines a linear regression model in parallel with a nonlinear regression model such as the Modified Probabilistic Neural Network (MPNN). This model provides a first ...
  • Campbell Bruce (Fudan University Sun Yat-sen University, 2004)
    A feature of our research into IS/business alignment is the emphasis by participants on the importance of relationships in alignment but, at the same time, their almost total ignorance of strategy. Focus has since been ...
  • 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)
  • Vezzani R; Cucchiara Rita; Piccardi Massimo (IEEE, 2009)
    On-line action recognition from a continuous stream of actions is still an open problem with fewer solutions proposed compared to time-segmented action recognition. The most challenging task is to classify the current ...
  • 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. ...