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All Outputs (201)

Enhanced Digital Literacy by Multi-modal Data Mining of the Digital Lifespan (2014)
Conference Proceeding
Collomosse, J., James, S., Durrant, A., Trujillo-Pisanty, D., Moncur, W., Orzech, K. M., …Chantler, M. (2014). Enhanced Digital Literacy by Multi-modal Data Mining of the Digital Lifespan. In Proceedings of Digital Economy (DE2014)

Social media pervades modern digital society, yet despite its regular use the general level of digital literacy and awareness of online representations of self remain low. We report progress on the RCUK DE funded ‘Charting the Digital Lifespan’ proje... Read More about Enhanced Digital Literacy by Multi-modal Data Mining of the Digital Lifespan.

A Particle Filtering approach to salient video object localization (2014)
Conference Proceeding
Gray, C., James, S., Collomosse, J., & Asente, P. (2014). A Particle Filtering approach to salient video object localization. In 2014 IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/ICIP.2014.7025038

We describe a novel fully automatic algorithm for identifying salient objects in video based on their motion. Spatially coherent clusters of optical flow vectors are sampled to generate estimates of affine motion parameters local to super-pixels iden... Read More about A Particle Filtering approach to salient video object localization.

Waste Utilization in a Spirit Plant as Alternative to Fossil Fuels (2014)
Conference Proceeding
Siqueiros, E., Wang, Y., Sturm, B., Law, R., Li, K., Li, Y., …Huang, Y. (2014). Waste Utilization in a Spirit Plant as Alternative to Fossil Fuels. . https://doi.org/10.1016/j.egypro.2014.11.1058

Food processing industries are extremely large consumers of thermal energy as well as bio waste generation and there are huge opportunities to improve its utilization. In this study a medium scale spirit plant situated in China was audited. Based on... Read More about Waste Utilization in a Spirit Plant as Alternative to Fossil Fuels.

A fast and robust algorithm to count topologically persistent holes in noisy clouds (2014)
Conference Proceeding
Kurlin, V. (2014). A fast and robust algorithm to count topologically persistent holes in noisy clouds.

Preprocessing a 2D image often produces a noisy cloud of interest points. We study the problem of counting holes in noisy clouds in the plane. The holes in a given cloud are quantified by the topological persistence of their boundary contours when th... Read More about A fast and robust algorithm to count topologically persistent holes in noisy clouds.