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  1. No Access

    Chapter and Conference Paper

    A Fast and Noise-Tolerant Method for Positioning Centers of Spiraling and Circulating Vector Fields

    Identification of centers of circulating and spiraling vector fields are important in many applications. Tropical cyclone tracking, rotating object identification, analysis of motion video and movement of flui...

    Ka Yan Wong, Chi Lap Yip in Computer Vision – ACCV 2007 (2007)

  2. No Access

    Chapter and Conference Paper

    Comparison of Squall Line Positioning Methods Using Radar Data

    Squall lines are strong indicators of potential severe weather. Yet, automated positioning and tracking algorithms are not common. We propose three different ways to model and identify squall lines using radar...

    Ka Yan Wong, Chi Lap Yip in Knowledge-Based Intelligent Information and Engineering Systems (2006)

  3. No Access

    Chapter and Conference Paper

    Comparison of Squall Line Positioning Methods Using Radar Data

    Squall lines are strong indicators of potential severe weather. Yet, automated positioning and tracking algorithms are not common. We propose three different ways to model and identify squall lines using radar...

    Ka Yan Wong, Chi Lap Yip in Knowledge-Based Intelligent Information and Engineering Systems (2006)

  4. No Access

    Chapter

    Data Complexity in Tropical Cyclone Positioning and Classification

    Tropical cyclones (TCs), life-threatening and destructive, warrant analysis and forecast by meteorologists so that early warnings can be issued. To do that, the position of a TC should be located and its inten...

    Chi Lap Yip, Ka Yan Wong, ** Wah Li in Data Complexity in Pattern Recognition (2006)

  5. No Access

    Article

    Efficient Algorithms for Mining and Incremental Update of Maximal Frequent Sequences

    We study two problems: (1) mining frequent sequences from a transactional database, and (2) incremental update of frequent sequences when the underlying database changes over time. We review existing sequence ...

    Ben Kao, Minghua Zhang, Chi-Lap Yip, David W. Cheung… in Data Mining and Knowledge Discovery (2005)

  6. No Access

    Chapter and Conference Paper

    Tropical Cyclone Eye Fix Using Genetic Algorithm with Temporal Information

    Tropical cyclones (TCs) are weather systems with vast destructive power. To give early TC warnings, accurate location of their circulation centers, or “eyes”, is required. The pattern matching solution to this...

    Ka Yan Wong, Chi Lap Yip in Knowledge-Based Intelligent Information and Engineering Systems (2005)

  7. No Access

    Chapter and Conference Paper

    Efficient and Effective Tropical Cyclone Eye Fix Using Genetic Algorithms

    Weather forecasting often requires extensive computationally expensive numerical analysis on remote sensing data. For example, to determine the position of a tropical cyclone (the TC eye fix problem), computat...

    Chi Lap Yip, Ka Yan Wong in Knowledge-Based Intelligent Information and Engineering Systems (2004)

  8. No Access

    Chapter and Conference Paper

    Efficient Algorithms for Incremental Update of Frequent Sequences

    Most of the works proposed so far on mining frequent sequences assume that the underlying database is static. However, in real life, the database is modified from time to time. This paper studies the problem o...

    Minghua Zhang, Ben Kao, David Cheung… in Advances in Knowledge Discovery and Data M… (2002)

  9. No Access

    Chapter and Conference Paper

    FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences

    This paper studies the problem of mining frequent sequences in transactional databases. In [1], Agrawal and Srikant proposed the AprioriAll algorithm for extracting frequently occurring sequences. AprioriAll is a...

    Minghua Zhang, Ben Kao, Chi-Lap Yip… in Advances in Knowledge Discovery and Data M… (2001)

  10. No Access

    Chapter and Conference Paper

    LGen — A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining

    Most algorithms for association rule mining are variants of the basic Apriori algorithm [2]. One characteristic of these Aprioribased algorithms is that candidate itemsets are generated in rounds, with the size o...

    Chi Lap Yip, K. K. Loo, Ben Kao… in Methodologies for Knowledge Discovery and … (1999)