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  • Yang, Tao; Kecman, Vojislav (Springer, 2010)
    The paper introduces a novel adaptive local hyperplane (ALH) classifier and it shows its superior performance in the face recognition tasks. Four different feature extraction methods (2DPCA, (2D)2PCA, 2DLDA and (2D)2LDA) ...
  • Niu, Li; Lu, Jie; Zhang, Guangquan; Wu, Dianshuang (Pergamon-Elsevier Science Ltd, 2013)
    A cognitive decision support system called FACETS was developed and evaluated based on the situation retrieval (SR) model. The aim of FACETS is to provide decision makers cognitive decision support in ill-structured decision ...
  • Golsteijn, Connie; Van Den Hoven, Elise (Springer, 2011)
    Reading books can serve as a means of gathering information, relaxing and escaping daily stress. Although reading is often primarily an individual activity, many readers also enjoy sharing reading experiences with friends, ...
  • Leveaux, Rene (IBIMA Publishing, 2010)
    The aim of this study was to examine the current uses of technologies to assist referee decision making processes in professional and Olympic sports, to provide the platform for the facilitation of correct decisions. Through ...
  • Li, Ming; Hoang, Doan; Simmonds, Andrew (Elsevier, 2005)
  • Zhuang, Jinfeng; Tsang, Ivor; Hoi, Steven (Microtome Publishing, 2011)
    Previous studies of Non-Parametric Kernel Learning (NPKL) usually formulate the learning task as a Semi-Definite Programming (SDP) problem that is often solved by some general purpose SDP solvers. However, for N data ...
  • 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 ...
  • Quan, Wu; Huang, Mao Lin (China Science Press, 2008)
    Marching-Graph is a new visualization that integrates the graph metaphor and the spatial metaphor into a single visualization. It provides users with highly interactive maps for accessing the logical structures of information ...
  • 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 ...
  • 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 ...
  • Li, Lin; Zhong, Luo; Xu, Guandong; Kitsuregawa, Masaru (Expert Systems with Applications, 2012)
    When classifying search queries into a set of target categories, machine learning based conventional approaches usually make use of external sources of information to obtain additional features for search queries and ...
  • 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 ...