Browsing Closed by Title

UTSePress Research/Manakin Repository

Search UTSePress Research


Advanced Search

Browse

My Account

Browsing Closed by Title

Sort by: Order: Results:

  • Lafferty, Susan; Edwards, Jenny (Emerald, 2004)
  • Talaei-Khoei, Amir (University of Zagreb, 2009)
    In this paper, a distributed architecture has been proposed in order to support an authorization service more precisely in dynamically created Virtual Organizations (VO). In comparison to other existing architectures such ...
  • Karol, Alankar; Williams, Mary-Anne (Springer-Verlag Berlin, 2006)
    In a dynamic situation like robot soccer any individual player can only observe a limited portion of their environment at any given time. As such to develop strategies based upon planning and cooperation between different ...
  • Si, Si; Liu, W; Tao, Dacheng; Chan, Kwok-Ping (IEEE-inst Electrical Electronics Engineers Inc, 2011)
    Distribution calibration plays an important role in cross-domain learning. However, existing distribution distance metrics are not geodesic; therefore, they cannot measure the intrinsic distance between two distributions. ...
  • Duan, Lixin; Xu, Dong; Tsang, Ivor (IEEE, 2012)
    NA
  • Pan, Sinno; Tsang, Ivor; Kwok, James; Yang, Qiang (IEEE, 2011)
    Domain adaptation allows knowledge from a source domain to be transferred to a different but related target domain. Intuitively, discovering a good feature representation across domains is crucial. In this paper, we first ...
  • Cao, Longbing; Zhang, Chengqi (Idea Publishing Group, 2006)
    Extant data mining is based on data-driven methodologies. It either views data mining as an autonomous data-driven, trial-and-error process or only analyzes business issues in an isolated, case-by-case manner. As a result, ...
  • Cao, Longbing (IEEE, 2010)
    Traditional data mining research mainly focus]es on developing, demonstrating, and pushing the use of specific algorithms and models. The process of data mining stops at pattern identification. Consequently, a widely seen ...
  • Duan, Lixin; Tsang, Ivor; Xu, Dong (IEEE, 2012)
    Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has only a limited number of labeled samples. To ...
  • Zhou, Tianyi; Tao, Dacheng (IEEE-Inst Electrical Electronics Engineers Inc, 2013)
    Learning tasks such as classification and clustering usually perform better and cost less (time and space) on compressed representations than on the original data. Previous works mainly compress data via dimension reduction. ...
  • Li, Zhenhua; He, Ying; Wong, Limsoon; Li, Jinyan (BioMed Central Ltd, 2012)
    Background Water is an integral part of protein complexes. It shapes protein binding sites by filling cavities and it bridges local contacts by hydrogen bonds. However, water molecules are usually not included in protein ...
  • Shen, Hualei; Tao, Dacheng; Ma, Dianfu (Public library of Science, 2013)
    With great potential for assisting radiological image interpretation and decision making, content-based image retrieval in the medical domain has become a hot topic in recent years. Many methods to enhance the performance ...
  • Hong, Zhibin; Mei, Xue; Tao, Dacheng (Lecture Notes in Computer Science 7572 Springer, 2012)
    In this paper, we propose a robust distracter-resistant tracking approach by learning a discriminative metric that adaptively learns the importance of features on-the-fly
  • Lai, Ching Yi; Brun, Todd; Wilde, Mark (IEEE-Inst Electrical Electronics Engineers Inc, 2013)
    The dual of an entanglement-assisted quantum error-correcting (EAQEC) code is defined from the orthogonal group of a simplified stabilizer group. From the Poisson summation formula, this duality leads to the MacWilliams ...
  • Zhang, Ying; Lin, Xuemin; Yuan, Yidong; Kitsuregawa, Masaru; Zhou, Xiaofang; Yu, Jeffrey (IEEE, 2010)
    Duplicates in data streams may often be observed by the projection on a subspace and/or multiple recordings of objects. Without the uniqueness assumption on observed data elements, many conventional aggregates computation ...
  • Qin, Zhenxing; Zhang, Chengqi; Xie, Xuehui; Zhang, Shichao (Springer-Verlag Berlin, 2005)
    Previous work considering both test and misclassification costs rely on the assumption that the test cost and the misclassification cost must be defined on the same cost scale. However, it can be difficult to define the ...
  • Coltman, Tim; Devinney, Timothy; Midgley, David (Palgrave Macmillan Limited, 2007)
    Among many leading organizations, in all sectors of industry, commerce and government, there is considerable evidence of e-business being deployed to achieve strategic goals. Where this deployment has been most successful, ...
  • Erkmen, Emre; Saleh, Ali (Elsevier Sci Ltd, 2012)
    When modelling composite or built up beams using finite element software, analysts find it often convenient to connect two standard Eulera??Bernoulli beam elements at the nodes by using a rigid bar or use mastera??slave ...
  • Yeh, Wei-Chang; Wei, Shang-Chia (Elsevier Science Bv, 2012)
    The Grid-computing service united by numerous distributed and heterogeneous resources supplies various advanced and cumbersome problems with high-performance computing. Based on reciprocal transactions of the Grid Bank ...
  • Zhang, Shichao; Zhang, Jilian; Zhang, Chengqi (Elsevier, 2007)
    Maintaining frequent itemsets (patterns) is one of the most important issues faced by the data mining community. While many algorithms for pattern discovery have been developed, relatively little work has been reported on ...