Hanhe Lin

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Lin, Hanhe

Dr

 https://orcid.org/0000-0002-0297-3549
Calculated based on number of publications stored in Pure and citations from Scopus
20102024

Research activity per year

Search results

  • 2016

    Online weighted clustering for real-time abnormal event detection in video surveillance

    Lin, H., Deng, J. D., Woodford, B. J. & Shahi, A., 1 Oct 2016, MM 2016: Proceedings of the 2016 ACM Multimedia Conference. New York, NY: Association for Computing Machinery, p. 536-540 5 p. (MM 2016 - Proceedings of the 2016 ACM Multimedia Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    21 Citations (Scopus)

  • Shot boundary detection using multi-instance incremental and decremental one-class support vector machine

    Lin, H., Deng, J. D. & Woodford, B. J., 12 Apr 2016, Advances in Knowledge Discovery and Data Mining: PAKDD 2016. Bailey, J., Khan, L., Washio, T., Dobbie, G., Huang, J. Z. & Wang, R. (eds.). Cham: Springer , p. 165-176 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9651).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Citation (Scopus)
  • 2015

    Anomaly detection in crowd scenes via online adaptive one-class support vector machines

    Lin, H., Deng, J. D. & Woodford, B. J., 10 Dec 2015, 2015 IEEE International Conference on Image Processing (ICIP) : Proceedings. IEEE, p. 2434-2438 5 p. (Proceedings - International Conference on Image Processing; vol. 2015-December).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    10 Citations (Scopus)
  • 2014

    Spatial-temporal pyramid matching for crowd scene analysis

    Lin, H., Deng, J. D. & Woodford, B. J., 2 Dec 2014, Proceedings of MLSDA 2014: 2nd Workshop on Machine Learning for Sensory Data Analysis. Rahman, A., Deng, J. D. & Li, J. (eds.). New York, NY: Association for Computing Machinery (ACM), p. 12-18 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2013

    Event detection using quantized binary code and spatial-temporal locality preserving projections

    Lin, H., Deng, J. D. & Woodford, B. J., 2013, AI 2013: Advances in Artificial Intelligence. Cranefield, S. & Nayak, A. (eds.). Cham, p. 123-134 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8272).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Citation (Scopus)
  • 2012

    Video manifold modelling: finding the right parameter settings for anomaly detection

    Lin, H., Deng, J. D. & Woodford, B. J., 26 Nov 2012, IVCNZ '12: Proceedings of the 27th Conference on Image and Vision Computing New Zealand. McCane, B., Mills, S. & Dreng, J. (eds.). New York, NY: Association for Computing Machinery (ACM), p. 168-173 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2010

    Predicting sensitive relationships from email corpus

    Lin, H., 2010, Proceedings: 4th International Conference on Genetic and Evolutionary Computing. IEEE, p. 264-267 4 p. 5715420

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Citations (Scopus)