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  • Zeng, Xh; Pei, J; Wang, K; Li, Jinyan (Springer London Ltd, 2009)
    While frequent pattern mining is fundamental for many data mining tasks, mining maximal frequent patterns efficiently is important in both theory and applications of frequent pattern mining. The fundamental challenge is ...
  • Huang, Qinghua; Tao, Dacheng; Li, Xuelong; Liew, Alan Wee-Chung (Association for Computing Machinery, Inc., 2012)
    The analysis of gene expression data obtained from microarray experiments is important for discovering the biological process of genes. Biclustering algorithms have been proven to be able to group the genes with similar ...
  • Geng, Bo; Li, Yangxi; Tao, Dacheng; Wang, Meng; Zha, Zheng-Jun; Xu, Chao (IEEE, 2012)
    Existing video concept detectors are generally built upon the kernel based machine learning techniques, e.g., support vector machines, regularized least squares, and logistic regression, just to name a few. However, in ...
  • Ji, Zhengfeng; Wang, Guoming; Duan, Runyao; Feng, Yuan; Ying, Mingsheng (IEEE-Inst Electrical Electronics Engineers Inc, 2008)
    The efficiency of parameter estimation of quantum channels is studied in this paper. We introduce the concept of programmable parameters to the theory of estimation. It is found that programmable parameters obey the standard ...
  • Zhang, Shichao (IEEE Computer Society, 2008)
    Missing data imputation is an important step in the process of machine learning and data mining when certain values are missed. Among extant imputation techniques, kNN imputation algorithm is the best one as it is a ...
  • Le, H; Hoang, Doan; Simmonds, Andrew (World Scientific Publishing, 2006)
    Peer-to-Peer (P2P) technologies developed rapidly in different directions with various applications and routing mechanisms. Each of them deals with a particular task, and/or provides a specific service. They were developed ...
  • Duan, Runyao; Feng, Yuan; Ying, Mingsheng (IEEE-Inst Electrical Electronics Engineers Inc, 2006)
    Suppose Alice and Bob try to transform an entangled state shared between them into another one by local operations and classical communications. Then in general a certain amount of entanglement contained in the initial ...
  • Johnston, Andrew; Marks, Benjamin (M I T Press, 2007)
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  • Cai, Kai-Yuan; Yin, Yunfei; Zhang, Shichao (IEEE Computer Society, 2005)
    Unlike the data approached in traditional data mining activities, software data are featured with partial-repeatability or parepeatics, which is an invariant property that can neither be proved in mathematics nor validated ...
  • Yeh, Wei-Chang; Lin, Yi-Cheng; Chung, Yuk; Chih, Mingchang (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    Reliability optimization has been a popular area of research, and received significant attention due to the critical importance of reliability in various kinds of systems. Most network reliability optimization problems are ...
  • Dahlberg, T; Mallat, Niina; Ondrus, Jan; Bachfischer, Agnieszka (Elsevier BV, 2008)
    The mobile payment services markets are currently under transition with a history of numerous tried and failed solutions, and a future of promising but yet uncertain possibilities with potential new technology innovations. ...
  • Zhang, Tianhao; Tao, Dacheng; Li, Xuelong; Yang, Jie (IEEE Computer Soc, 2009)
    Spectral analysis-based dimensionality reduction algorithms are important and have been popularly applied in data mining and computer vision applications. To date many algorithms have been developed, e. g., principal ...
  • Jay, Barry (ACM Press, 2004)
    There is a significant class of operations such as mapping that are common to all data structures. The goal of generic programming is to support these operations on arbitrary data types without having to recode for each ...
  • Feng, Ml; Dong, Gz; Li, Jinyan; Tan, Yp; Wong, L (Wiley-blackwell, 2010)
    This article addresses the incremental and decremental maintenance of the frequent pattern space. We conduct an in-depth investigation on how the frequent pattern space evolves under both incremental and decremental updates. ...
  • Atiya, Amir; Al-Ani, Ahmed (Elsevier, 2009)
    Penalized likelihood is a general approach whereby an objective function is defined, consisting of the log likelihood of the data minus some term penalizing non-smooth solutions. Subsequently, this objective function is ...
  • Stanton, Christopher; Ratanasena, Edward; Haider, Sajjad; Williams, Mary-Anne (Springer, 2012)
    We present a method for enabling an Aldebaran Nao humanoid robot to perceive bumps and touches caused by physical contact forces. Dedicated touch, tactile or force sensors are not used. Instead, our approach involves the ...
  • Tang, Zhenjun; Dai, Yumin; Zhang, Xianquan; Zhang, Shichao (Springer, 2012)
    Image hashing is an emerging technology for the need of, such as image authentication, digital watermarking, image copy detection and image indexing in multimedia processing, which derives a content-based compact representation, ...
  • Bakkes, Ing; Tan, Chek Tien; Pisan, Yusuf (Auckland University of Technology, 2012)
    This article focuses on personalised games, which we define as games that utilise player models for the purpose of tailoring the game experience to the individual player. The main contribution of the article is a motivation ...
  • Ying, Mingsheng (IEEE-Inst Electrical Electronics Engineers Inc, 1999)
    We propose the concepts of maximum and average perturbations of fuzzy sets and estimate maximum and average perturbation parameters for various methods of fuzzy reasoning.
  • Peterson-Clark, G; Aslani, P; Williams, Kylie (Wiley-Blackwell Publishing, Inc, 2010)
    Introduction: Pharmacists Need Effective Skills In Accessing And Using Internet-Based Medicines Information (Ibmi) For Themselves And Their Consumers. However, There Is Limited Information Regarding How Pharmacists Use The ...