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  • Ghassan, Beydoun; Low, Graham; Henderson-Sellers, Brian; Mouratidis, Haris; Gomez-Sanz, Jorge; Pavon, Juan; Gonzalez-Perez, Cesar (IEEE, 2009)
    Abstract?In some areas of software engineering research, there are several metamodels claiming to capture the main issues. Though it is profitable to have variety at the beginning of a research field, after some time, the ...
  • Yeh, Wei-Chang (IEEE-Inst Electrical Electronics Engineers Inc, 2008)
    Evaluating network reliability is an important topic in planning, designing, and control of systems. Many real-world systems are limited-flow (multi-state) networks composed of multi-state components, and their reliabilities ...
  • Zhu, Xingquan; Li, Bin; Chi, Lianhua (Springer, 2013)
    As many data mining applications involve networked data with dynamically increasing volumes, graph stream classification has recently extracted significant research interest. The aim of graph stream classification is to ...
  • Pang, Yanwei; Li, Xuelong; Yuan, Yuan; Tao, Dacheng; Pan, Jing (IEEE-Inst Electrical Electronics Engineers Inc, 2009)
    Subspace learning is the process of finding a proper feature subspace and then projecting high-dimensional data onto the learned low-dimensional subspace. The projection operation requires many floating-point multiplications ...
  • Chang, Lijun; Yu, Jeffrey; Qin, Lu (Springer Science+Business Media, 2013)
    In this paper, we consider the problem of generating all maximal cliques in a sparse graph in polynomial delay. Given a graph G=(V,E) with n vertices and m edges, the latest and fastest polynomial delay algorithm for sparse ...
  • Cheng, Jun; Xie, Can; Bian, Wei; Tao, Dacheng (Elsevier, 2012)
    Hand gesture recognition has been intensively applied in various human?computer interaction (HCI) systems. Different hand gesture recognition methods were developed based on particular features, e.g., gesture trajectories ...
  • Sha, T; Song, Mingli; Bu, Jj; Chen, Chih-Yu; Tao, Dacheng (Elsevier Science Bv, 2011)
    3D facial expression recognition has great potential in human computer interaction and intelligent robot systems. In this paper, we propose a two-step approach which combines both the feature selection and the feature ...
  • Kamal, Abu; Zhu, Xingquan; Pandya, Abhijit; Hsu, Sam; Narayanan, Ramaswamy (World Scientific Publ Co Pte Ltd, 2010)
    Feature selection for supervised learning concerns the problem of selecting a number of important features (w.r.t. the class labels) for the purposes of training accurate prediction models. Traditional feature selection ...
  • Duong, Tarn; Cowling, Arianna; Koch, Inge; Wand, Matthew (Elsevier, 2008)
    Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features?such as local extrema?are statistically significant. This paper proposes ...
  • Al-Ani, Ahmed; Alsukker, Akram; Khushaba, Rami (Elsevier, 2013)
    Differential evolution has started to attract a lot of attention as a powerful search method and has been successfully applied to a variety of applications including pattern recognition. One of the most important tasks in ...
  • Li, Ming; Hoang, Doan (Elsevier, 2005)
    Differentiated Service (DiffServ) architecture has been proposed as a scalable QoS architecture for Internet. DiffServ, however, could not control its loads under heavy traffic conditions, and it could not provide strong ...
  • Ma, Jun; Li, Wenjiang; Ruan, Da; Xu, Yang (Elsevier Science Inc, 2007)
    As one of most powerful approaches in automated reasoning, resolution principle has been introduced to non-classical logics, such as many-valued logic. However, most of the existing works are limited to the chain-type ...
  • Xu, Yi Da; Kemp, Mc (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    In this paper, we seek to fit a model, specified in terms of connected ellipses, to an image silhouette. Some algorithms that have attempted this problem are sensitive to initial guesses and also may converge to a wrong ...
  • Cao, Longbing; Zhao, Yanchang; Zhang, Huaifeng; Luo, Dan; Zhang, Chengqi; Park, Ek (IEEE Computer Soc, 2010)
    Most data mining algorithms and tools stop at the mining and delivery of patterns satisfying expected technical interestingness. There are often many patterns mined but business people either are not interested in them or ...
  • Chen, Jinjun; Yang, Yun (Elsevier, 2005)
    To verify fixed-time constraints in grid workflow systems, the consistency and inconsistency conditions have been defined in the conventional work. However, in this paper, we argue that although the conventional consistency ...
  • Ying, Mingsheng; Feng, Yuan (IEEE Computer Soc, 2011)
    Several high-level quantum programming languages have been proposed in the previous research. In this paper, we define a low-level flowchart language for quantum programming, which can be used in implementation of high-level ...
  • Li, Sanjiang; Luo, Maokang (Elsevier Science Bv, 2003)
    In this paper, we show that there are exactly c different simultaneously bireffective and bicoreflective subconstructs of FNS, in fact there exists a one-to-one correspondence between those subconstructs of FNS and open ...
  • Dong, H; Hussain, Farookh (IEEE-Inst Electrical Electronics Engineers Inc, 2011)
    Digital Ecosystems make use of Service Factories for service entities' publishing, classification, and management. However, before the emergence of Digital Ecosystems, there existed ubiquitous and heterogeneous service ...
  • Henderson-Sellers Brian; Le Parc-Lacayrelle Annig; Barbier Franck; Bruel Jm (Institute of Electrical and Electronics Engineers, 2003)
    A formal definition for the semantics of the Whole-Part relationship in the Unified Modeling Language or UML is introduced. This provides a fully directly usable specification which that can be incorporated into version ...
  • Ying, Mingsheng (IEEE-Inst Electrical Electronics Engineers Inc, 2002)
    Classical automata are formal models of computing with values. Fuzzy automata are generalizations of classical automata where the knowledge about the system's next state is vague or uncertain. It is worth noting that like ...