Search Results - "Liu, Fei Tony"

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  1. 1

    Isolation‐based anomaly detection using nearest‐neighbor ensembles by Bandaragoda, Tharindu R., Ting, Kai Ming, Albrecht, David, Liu, Fei Tony, Zhu, Ye, Wells, Jonathan R.

    Published in Computational intelligence (01-11-2018)
    “…The first successful isolation‐based anomaly detector, ie, iForest, uses trees as a means to perform isolation. Although it has been shown to have advantages…”
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    Journal Article
  2. 2

    Mass estimation by Ting, Kai Ming, Zhou, Guang-Tong, Liu, Fei Tony, Tan, Swee Chuan

    Published in Machine learning (2013)
    “…This paper introduces mass estimation—a base modelling mechanism that can be employed to solve various tasks in machine learning. We present the theoretical…”
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    Journal Article
  3. 3

    Relevance feature mapping for content-based multimedia information retrieval by Zhou, Guang-Tong, Ting, Kai Ming, Liu, Fei Tony, Yin, Yilong

    Published in Pattern recognition (01-04-2012)
    “…This paper presents a novel ranking framework for content-based multimedia information retrieval (CBMIR). The framework introduces relevance features and a new…”
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    Journal Article
  4. 4
  5. 5

    Spectrum of Variable-Random Trees by Liu, F. T., Ting, K. M., Yu, Y., Zhou, Z. H.

    “…In this paper, we show that a continuous spectrum of randomisation exists, in which most existing tree randomisations are only operating around the two ends of…”
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    Journal Article
  6. 6

    DEMass: a new density estimator for big data by Ting, Kai Ming, Washio, Takashi, Wells, Jonathan R., Liu, Fei Tony, Aryal, Sunil

    Published in Knowledge and information systems (01-06-2013)
    “…Density estimation is the ubiquitous base modelling mechanism employed for many tasks including clustering, classification, anomaly detection and information…”
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    Journal Article
  7. 7

    Isolation Forest by Liu, F.T., Kai Ming Ting, Zhi-Hua Zhou

    “…Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal…”
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    Conference Proceeding
  8. 8

    Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble by Bandaragoda, Tharindu R., Kai Ming Ting, Albrecht, David, Liu, Fei Tony, Wells, Jonathan R.

    “…This paper presents iNNE (isolation using Nearest Neighbour Ensemble), an efficient nearest neighbour-based anomaly detection method by isolation. Inne runs…”
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    Conference Proceeding
  9. 9

    Density Estimation Based on Mass by Kai Ming Ting, Washio, T., Wells, J. R., Liu, F. T.

    “…Density estimation is the ubiquitous base modelling mechanism employed for many tasks such as clustering, classification, anomaly detection and information…”
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    Conference Proceeding