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All Outputs (23)

Face hallucination based on sparse local-pixel structure (2013)
Journal Article
Li, Y., Cai, C., Qiu, G., & Lam, K. (2014). Face hallucination based on sparse local-pixel structure. Pattern Recognition, 47(3), 1261-1270. https://doi.org/10.1016/j.patcog.2013.09.012

In this paper, we propose a face-hallucination method, namely face hallucination based on sparse local-pixel structure. In our framework, a high resolution (HR) face is estimated from a single frame low resolution (LR) face with the help of the facia... Read More about Face hallucination based on sparse local-pixel structure.

Automatic habitat classification using image analysis and random forest (2013)
Journal Article
Torres, M., & Qiu, G. (2014). Automatic habitat classification using image analysis and random forest. Ecological Informatics, 23, 126-136. doi:10.1016/j.ecoinf.2013.08.002

Habitat classification is important for monitoring the environment and biodiversity. Currently, this is done manually by human surveyors, a laborious, expensive and subjective process. We have developed a new computer habitat classification method ba... Read More about Automatic habitat classification using image analysis and random forest.

Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters
Conference Proceeding
Roadknight, C., Aickelin, U., Qiu, G., Scholefield, J., & Durrant, L. Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters.

In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insight into immunological status at the point of tumour removal,tumour cl... Read More about Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters.