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School of Computing

  1. An Analysis of User Engagement in Relation to Computing Workshop Activities

    Menzies, R., Crabb, M., Herron, D., Petrie, K., Stewart, C. & Zarb, M. 24 Feb 2015 SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education . New York: Association for Computing Machinery, p. 469-474 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Automatic transformation of raw clinical data into clean data using decision tree learning combining with string similarity algorithm

    Zhang, J. 2015 OpenAccess Series in Informatics. Vol. 49, p. 87-94 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Breaking the communication barrier: guidelines to aid communication within pair programming

    Zarb, M. & Hughes, J. 2015 In : Computer Science Education. 25, 2, p. 120-151 32 p.

    Research output: Contribution to journalArticle

  4. Cross-scenario transfer person re-identification

    Wang, X., Zheng, W-S., Li, X. & Zhang, J. 2015 In : IEEE Transactions on Circuits and Systems for Video Technology. 99, 14 p.

    Research output: Contribution to journalArticle

  5. Data separation of L1-minimization for real-time motion detection

    Liu, Y., Xiao, H., Zhang, Z., Xu, W., Zhang, M. & Zhang, J. 2015 Proceedings of the British Machine Vision Conference (BMVC). Xie, X., Jones, M. W. & Tam, G. K. L. (eds.). BMVA Press, 12 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Further evaluations of industry-inspired pair programming communication guidelines with undergraduate students

    Zarb, M., Hughes, J. & Richards, J. 2015 SIGCSE '15 : Proceedings of the 46th ACM Technical Symposium on Computer Science Education . New York: Association for Computing Machinery, p. 314-319 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Human action recognition by random features and hand-crafted features: a comparative study

    Shen, H., Zhang, J. & Zhang, H. 2015 Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II. Agapito , L., Bronstein, M. M. & Rother, C. (eds.). p. 14-28 15 p. (Lecture notes in computer science ; vol. 8926)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Jointly learning heterogeneous features for RGB-D activity recognition

    Hu, J-F., Zheng, W-S., Lai, J. & Zhang, J. 2015 p. 5344-5352 9 p.

    Research output: Contribution to conferencePaper

  9. Learning discriminative local features from image-level labelled data for colonoscopy image classification

    Manivannan, S. & Trucco, E. 2015 Proceedings - International Symposium on Biomedical Imaging. IEEE Computer Society, Vol. 2015-July, p. 420-423 4 p. 7163901

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. Low rank prior in single patches for non-pointwise impulse noise removal

    Wang, R., Pakleppa, M. & Trucco, E. 2015 In : IEEE Transactions on Image Processing. 24, 5, p. 1485-1496 12 p.

    Research output: Contribution to journalArticle

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