Browsing Closed by Title

UTSePress Research/Manakin Repository

Search UTSePress Research


Advanced Search

Browse

My Account

Browsing Closed by Title

Sort by: Order: Results:

  • Huque, Md; Munasinghe, K.; Abolhasan, Mehran; Jamalipour, A. (In the 7th International Conference on Signal Processing and Communication Systems ICSPCS?2013, 2013)
    Wireless Body Area Network (WBAN), a neoteric intelligent monitoring system, is envisaged to unleash a wave of personalized, advanced and integrated applications in the field of medical, fitness, sports, entertainment, ...
  • Lai, Johnny; Leung, Frank; Ling, Steve; Shi, Edwin (IEEE, 2011)
    In this paper, Differential Evolution (DE) that incorporates fuzzy control and k-nearest neighbors algorithm is proposed to tackle the economic load dispatch problem. To provide the self-terminating ability, a technique ...
  • Liu, Li; Kong, Xiaoying; Chen, Jing (Southern Cross University, 2006)
  • Chen, Xiaogang; Yang, Jie; Wu, Qiang; He, Sean (IEEE Computer Society, 2011)
    Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images. Traditional ...
  • Zhang, Ying; Zhang, Wenjie; Lin, Qianlu; Lin, Xuemin (ACM, 2012)
    The range searching problem is fundamental in a wide spectrum of applications such as radio frequency identification (RFID) networks, location based services (LBS), and global position system (GPS). As the uncertainty is ...
  • Nguyen, Tuan; Nguyen, Dinh Thong (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, 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, Sean (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, 2007)
    To reduce the time complexity of attribute reduction algorithm based on discernibility matrix, a simplified decision table is first introduced, and an algorithm with time complexity (| O C
  • Li, Jun; Zhang, Peng; Cao, Yanan; Liu, Ping; Guo, Li (IEEE, 2012)
    Behavior targeting (BT) is a promising tool for online advertising. The state-of-the-art BT methods, which are mainly based on regression models, have two limitations. First, learning regression models for behavior targeting ...
  • Zhang, Shichao; Wang, Rifeng; Guo, Yanping (Springer, 2006)
    A 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 ...
  • Hasan, Mahady; Cheema, Muhammad; Lin, Xuemin; Zhang, Ying (Springer, 2009)
    The concept of safe region has been used to reduce the computation and communication cost for the continuous monitoring of k nearest neighbor (kNN) queries. A safe region is an area such that as long as a query remains in ...
  • 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, 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 the ...
  • Chang, Lijun; Lin, Xuemin; Qin, Lu; Liu, Chengfei; Liang, Weifa (ACM, 2013)
    k-edge connected components; graph decomposition; minimum cut
  • Yin, Junfu; Zheng, Zhigang; Cao, Longbing; Song, Yin; Wei, Wei (IEEE, 2013)
    High utility sequential pattern mining is an emerging topic in the data mining community. Compared to the classic frequent sequence mining, the utility framework provides more informative and actionable knowledge since the ...
  • 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 ...