Browsing 08 Information and Computing Sciences by Title

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Browsing 08 Information and Computing Sciences by Title

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  • Huang, Mao Lin; Nguyen, Quang Vinh (IEEE Computer Society Publisher, 2007)
    Scalability problem is a long-lasting challenge for both information visualization and graph drawing communities. Available graph visualization techniques could perform well for small or medium size graphs but they are ...
  • Zhang, Huaifeng; Jia, Wenjing; Wu, Qiang; He, Sean (IEEE, 2006)
    This paper proposes a fast algorithm detecting license plates in various conditions. There are three main contributions in this paper. The first contribution is that we define a new vertical edge map, with which the license ...
  • 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 ...
  • Lu, Jie; Zhang, Guangquan; Hao, Zhifeng; Wen, W; Yang, Xiao (Springer-Verlag, 2006)
    A fast data preprocessing procedure (FDPP) for support vector regression (SVR) is proposed in this paper. In the presented method, the dataset is firstly divided into several subsets and then K-means clustering is implemented ...
  • Nguyen, Quang Vinh; Huang, Mao Lin (CSREA Press, 2003)
  • 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 ...
  • Kodagoda, Sarath; Shi, Leo; Ranasinghe, Ravi (The ACRA 2011 Organising Committee, 2011)
    A representation of space that includes both geometric and semantic information enables a robot to perform high-level tasks in complex environments. Identifying and categorizing environments based on onboard sensors are ...
  • 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 ...
  • Beauregard, M; Kennedy, Paul; Debenham, John (Springer, 2006)
    Biologically realistic computer simulation of vertebrate locomotion is an interesting and challenging problem with applications in computer graphics and robotics. One current approach simulates a relatively simple vertebrate, ...
  • Yuwono, Mitchell; Su, Steven; Moulton, Bruce; Nguyen, Hung (IEEE, 2012)
    Data clustering is a process where a set of data points is divided into groups of similar points. Recent approaches for data clustering have seen the development of unsupervised learning algorithms based on Particle Swarm ...
  • Zhang, Tiefeng; Zhang, Guangquan; Lu, Jie; Ding, Qian (IEEE, 2010)
    Association rule mining makes interesting associations and/or correlations among large sets of data. Those associations can be refined as decision rules to be used and stored in a knowledge base system. In this paper, an ...
  • Khosravi, Anas; Lu, Jie (Prokom Softwares, 2006)
  • Lowe, David; Mujkanovic, Amir; Miorandi, Daniel; Yamamoto, Lidia (Springer-Verlag Berlin Heidelberg, 2010)
    In previous work the authors have described an approach for building distributed selfa??healing systems a?? referred to as EmbryoWare a?? that, in analogy to Embryonics in hardware, is inspired by cellular development and ...
  • Tan, Chek Tien; Rosser, Daniel; Bakkes, Ing; Pisan, Yusuf (ACM, 2012)
    Current quantitative methods of measuring player experience in games are mostly intrusive to play and less suited to natural, non-laboratory play environments. This paper presents an initial study to validate the ...
  • Gay, Valerie; Leijdekkers, Peter; Barin, Edwards (IEEE Communications Society, 2010)
    A trial with a cardiac rehabilitation centre is in progress where we test a novel cardiac rehab application using a standard mobile phone and wireless sensors. The goal is to obtain insight how remote monitoring compares ...
  • Tran, Quynh-Nhu Numi; Low, Graham; Williams, Mary-Anne (Springer-Verlag Berlin Heidelberg, 2003)
    This paper proposes a comprehensive and multi-dimensional feature analysis framework for evaluating and comparing methodologies for developing multi-agent systems (MAS). Developed from a synthesis of various existing ...
  • Li, Zelin; Zhang, Jian; Wu, Qiang; Geers, Glen (IEEE Computer Society, 2010)
    Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for ...