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Browsing Conference Papers by Title

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  • Abu Mahmoud, M; Al-Jumaily, A (IEEE, 2011-01)
    A gradient vector flow (GVF) snake is proposed in this paper for the segmentation of skin cancer images. In order to make the snake insensitive to noise and be able to remove the hairs, an Adaptive Filter (Wiener and Median ...
  • Zhang, S; Dou, W; Chen, J (IEEE Computer Society, 2013)
    Web service composition lets users create value-added composite Web services on existent services, where top-k composite services are helpful for users to find a satisfying composite service efficiently. However, with an ...
  • Debenham, JK (Springer, 2001-01)
    Emergent processes are high-level business processes; they are opportunistic in nature whereas production workflows are routine. Emergent processes may not be managed; they may contain goal-driven sub-processes that can ...
  • Wu, H; Qu, G; Zhu, X (Springer, 2011-01)
    Spectral clustering has been applied in various applications. But there still exist some important issues to be resolved, among which the two major ones are to (1) specify the scale parameter in calculating the similarity ...
  • Maali, Y; Al-Jumaily, A (CEUR, 2012-01)
    In this paper Self-Advising SVM, a new proposed version of SVM, is investigated for sleep apnea classification. Self-Advising SVM tries to transfer more information from training phase to the test phase in compare to the ...
  • Thi, T; Lu, S; Zhang, J (IEEE, 2008-01)
    A statistical and computer vision approach using tracked moving vehicle shapes for auto-calibrating traffic surveillance cameras is presented. Vanishing point of the traffic direction is picked up from Linear Regression ...
  • Debenham, JK; Prodan, A (Springer, 2010-01)
    The self-organisation of telecommunications networks has to confront the two challenges of the scalability and the stability of the solution. This paper describes a distributed, co-operative multiagent system in which ...
  • Fang, M; Zhu, X; Li, B; Ding, W; Wu, X (IEEE Computer Society, 2012-01)
    The emergence of social tagging and crowdsourcing systems provides a unique platform where multiple weak labelers can form a crowd to fulfill a labeling task. Yet crowd labelers are often noisy, inaccurate, and have limited ...
  • Liu, H; Xu, D; Huang, Q; Li, W; Xu, M; Lin, S (Institute of Electrical and Electronics Engineers Inc., 2013)
    We present a method for estimating human scan paths, which are sequences of gaze shifts that follow visual attention over an image. In this work, scan paths are modeled based on three principal factors that influence human ...
  • Su, G; Ying, M; Zhang, C (IEEE Computer Society, 2012-01)
    Architecture Description Languages usually specify software architectures in the levels of types and instances. Components instantiate component types by parameterization and type conformance. Behavioral analysis of dynamic ...
  • Gärdenfors, P (2011)
    The overall goal is to show that conceptual spaces are more promising than other ways of modelling the semantics of natural language. In particular, I will show how they can be used to model actions and events. I will also ...
  • Niu, Z; Gao, X; Tao, D; Li, X (IEEE Computer Soc, 2008-01)
    With the fast development of video semantic analysis, there has been increasing attention to the typical issue of the semantic analysis of soccer program. Based on the color feature analysis, this paper focuses on the video ...
  • Sanati, F; Lu, J (IEEE, 2008-01)
    Repeatability is one of the most fundamental components of any methodology or framework in any engineering discipline. Many research projects attempting to formulate some modelling strategies as the new technologies and ...
  • Miro, JV; Black, R; De Bruijn, F; Dissanayake, G (IEEE, 2011-01-01)
  • Henderson-Sellers, B; Low, G; Gonzalez-Perez, C (Springer Verlag, 2012)
    Building on published guidelines for good design practice as applied to the creation of modelling languages, we consider the creation of an appropriate notation for a domain-specific modelling language for supporting ...
  • Fookes, C; Denman, S; Lakemond, R; Ryan, DA; Sridharan, S; Piccardi, M (IEEE, 2010-01)
    This paper proposes a semi-supervised intelligent visual surveillance system to exploit the information from multi-camera networks for the monitoring of people and vehicles. Modules are proposed to perform critical ...
  • Zhang, T; Ji, R; Liu, W; Tao, D; Hua, G (AAAI, 2013-01)
    In this paper, we propose a locality-constrained and sparsity-encouraged manifold fitting approach, aiming at capturing the locally sparse manifold structure into neighborhood graph construction by exploiting a principled ...
  • Liu, W; Ma, S; Tao, D; Liu, J; Liu, P (Association for Computing Machinery, Inc. (ACM), 2010-01)
    In plenty of scenarios, data can be represented as vectors and then mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining applications need proximity measures ...
  • Chen, L; Zhang, C (SIAM / Omnipress, 2011-01)
    Semi-supervised learning, which uses a small amount of labeled data in conjunction with a large amount of unlabeled data for training, has recently attracted huge research attention due to the considerable improvement in ...