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  • 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 ...
  • Lu, Shiyang; Zhang, Jian; Wang, Zhiyong; Feng, David Dagan (Academic Press Inc Elsevier Science, 2013)
    Sparse coding which encodes the natural visual signal into a sparse space for visual codebook generation and feature quantization, has been successfully utilized for many image classification applications. However, it has ...
  • 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 ...
  • Mao, Qi; Tsang, Ivor (IEEE, 2013)
    ?Feature selection with specific multivariate performance measures is the key to the success of many applications such as image retrieval and text classification. The existing feature selection methods are usually designed ...
  • Duong, Tarn; Cowling, Arianna; Koch, Inge; Wand, Matt (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 ...
  • Jay, Barry; Kesner, D (Cambridge Univ Press, 2009)
    Pure pattern calculus supports pattern-matching functions in which patterns are first-class citizens that can be passed as parameters, evaluated and returned as results. This new expressive power supports two new forms of ...
  • Kemp, Mc; Xu, Richard (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 ...
  • Nie, Feiping; Xu, Dong; Tsang, Ivor; Zhang, Changshui (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
  • 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 ...
  • O'Hara, Kenton; Helmes, John; Sellen, Abigail; Harper, Richard; Bhoemer, Martijn; Van Den Hoven, Elise (Taylor & Francis, 2012)
    Photographic mementos are important signifiers of our personal memories. Rather than simply passive representations of memories to "preserve" the past, these photos are actively displayed and consumed in the context of ...