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  • Browsing 08 Information and Computing Sciences by Title

Browsing 08 Information and Computing Sciences by Title

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  • Visual-Context Boosting for Eye Detection 
    Song Mingli; Tao Dacheng; Sun Z; Li Xuelong (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    Eye detection plays an important role in many practical applications. This paper presents a novel two-step scheme for eye detection. The first step models an eye by a newly defined visual-context pattern (VCP), and the ...
  • Visual data mining: An introduction and overview 
    Simoff Simeon; Bohlen Michael; Mazeika Arturas (Springer Berlin / Heidelberg, 2008)
  • Visual discovery of network patterns of interaction between attributes 
    Simoff Simeon; Galloway John (Springer Berlin / Heidelberg, 2008)
  • Visualisation of Implicit Surfaces 
    Balsys Ronald; Suffern Kevin (Elsevier, 2001)
  • Visualising changes in fund manager holdings in two and a half dimensions 
    Dwyer Tim; Gallagher David (Palgrave, 2004)
    We explore a multiple view, or overview and detail, method for visualising a high-dimensional portfolio holdings data set with attributes that change over time. The method employs techniques from multidimensional scaling ...
  • Visualising File-Systems Using ENCCON Model 
    Nguyen Quang Vinh; Huang Mao (Australian Computer Society, 2004)
    This paper describes a new approach for visualising the file structures. Our technique uses an enclosure + connection (ENCCON) approach that provides an overall view of the entire file/directory hierarchy that gives ...
  • Visualising the Dynamics of Unfolding Interactions on Mobile Devices 
    Deray Kristine; Simoff Simeon (Springer-Verlag Berlin Heidelberg, 2008)
    Human activities in various domains include interactions. In some areas, like healthcare, there is an opportunity to collect rich data about such interactions. The utilisation of such data in order to extract information ...
  • A Visualization Approach for Frauds Detection in Financial Market 
    Huang Mao; Liang Jie; Nguyen Quang Vinh (IEEE Computer Society, 2009)
    Bar chart is a very common and simple graph that is mainly used to visualize simple x, y plots of data for numerical comparisons by partitioning the categorical data values into bars and typically limited to operate on ...
  • A visualization model for web sitemaps 
    Huang Mao; Nguyen Quang Vinh; Zhang Kang; Yen I (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    This paper describes a space-efficient visualization model that automatically crawls through a website and visualizes its sitemap. This model can be used especially for displaying and navigating a very large website in ...
  • Visualization of Individual's Knowledge by Analyzing the Citation Networks 
    Huang Tze-Haw; Huang Mao (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    Visual analysis of knowledge domain is an emerging field of study as science is highly dynamic and constantly evolving. Behind the scene, a knowledge domain is formed and contributed by enormous researchers’ publications ...
  • Visualization of Large Citation Networks with Space-Efficient Multi-Layer Optimization 
    Huang Mao; Nguyen Quang Vinh (Macquarie Scientific Publishing, 2007)
    This paper describes a technique for visualizing large citation networks (or bibliography networks) using a space-efficient multi-layer optimization visualization technique. Our technique first use a fast clustering ...
  • The Visualization of Large Database in Stock Markets 
    Lin Li; Cao Longbing; Zhang Chengqi (ACTA Press, 2005)
    In stock market, foreign currency exchange market, or any other asset trading system, there are high-density data, which is a typical data streams. And the trading rules are often the functions of many variables. ...
  • Visualizing the Experts: Visualizations of Individual's Knowledge Domains using Squarified Treemap 
    Huang Tze-Haw; Huang Mao (National Cheng Kung University, 2007)
  • A Visual Method for High-Dimensional Data Cluster Exploration 
    Nguyen Quang Vinh; Zhang Ke-Bing; Orgun Mehmet; Huang Mao (Springer, 2009)
    Visualization is helpful for clustering high dimensional data. The goals of visualization in data mining are exploration, confirmation and presentation of the clustering results. However, the most of visual techniques ...
  • Visual music and musical vision 
    Li Xuelong; Tao Dacheng; Maybank Stephen; Yuan Yuan (Elsevier Science Bv, 2008)
    This paper aims to bridge human hearing and vision from the viewpoint of database search for images or music. The semantic content of an image can be illustrated with music or conversely images can be associated with a ...
  • Visual Reranking: From Objectives To Strategies 
    Tian Xinmei; Tao Dacheng (IEEE Computer Soc, 2011)
    A study of the development of visual reranking methods can facilitate an understanding of the field, offer a clearer view of what has been achieved, and help overcome emerging obstacles in this area.
  • Visual Search Reranking Via Adaptive Particle Swarm Optimization 
    Zhang L; Mei Tao; Liu Y; Tao Dacheng; Zhou Hq (Elsevier Sci Ltd, 2011)
    Visual search reranking involves an optimization process that uses visual content to recover the 'genuine' ranking list from the helpful but noisy one generated by textual search. This paper presents an evolutionary approach, ...
  • The volatility of the instantaneous spot interest rate implied by arbitrage pricing:a dynamic Bayesian approach 
    Bhar Ramaprasad; Chiarella Carl; Hung Hing; Runggaldier Wolfgang (Elsevier, 2007)
  • Vote-Based LELC for Positive and Unlabeled Textual Data Streams 
    Liu Bo; Xiao Yan Shan; Cao Longbing; Yu Philip (IEEE Computer Society Conference Publishing Services (CPS), 2010)
    In this paper, we extend LELC (PU Learning by Extracting Likely Positive and Negative Micro-Clusters) method to cope with positive and unlabeled data streams. Our developed approach, which is called vote-based LELC, works ...
  • VSA-based Fractual Image Compression 
    Wang Huaqing; Wang Meiqing; Hintz Thomas; Wu Qiang; He Xiangjian (Union Agency - Science Press, 2005)
    Spiral Architecture (SA) is a novel image structure which has hexagons but not squares as the basic elements. Apart from many other advantages in image processing, SA has shown two unbeatable characters that have potential ...