Browsing by Author "Strange, Harry"

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  • Strange, Harry; Zwiggelaar, Reyer; Sturrock, Craig; Mooney, Sacha; Doonan, John (2015)
    Wheat (Triticum aestivum L.) grain size and morphology are playing an increasingly important role as agronomic traits. Whole spikes from two disparate strains, the commercial type Capelle and the landrace Indian Shot Wheat, ...
  • He, Wenda; Denton, Erika R. E.; Zwiggelaar, Reyer; Strange, Harry (2008-07)
  • Zwiggelaar, Reyer; Strange, Harry (2009-09-22)
    In the problem of mammographic image classification one seeks to classify an image, based on certain aspects or features, into a risk assessment class. The use of breast tissue density features provide a good way of ...
  • Doonan, John; Boyle, Roger; Han, Jiwan; Williams, Kevin Stewart; Alcalde Barrios, Andreu; Strange, Harry; Corke, Fiona; Nibau, Candida; Scotson, Callum Paul; Camargo-Rodriguez, Anyela; Zwiggelaar, Reyer; Sturrock, Craig; Mooney, Sacha (2016)
    At the NPPC, we use both traditional and novel phenotyping strategies that allow detailed measurement of traits across the entire life cycle of crops and model plants and includes conveyor systems for dynamic imaging of ...
  • Strange, Harry; Zwiggelaar, Reyer (2010-09)
    We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be reconstructed by iteratively merging these ...
  • Zwiggelaar, Reyer; Denton, Erika R. E.; Strange, Harry (2014-12-01)
    Professors Reyer Zwiggelaar and Erika Denton, and Dr Harry Strange are creating groundbreaking new models of cancer risk. Here, they discuss the challenges they face and the collaborations they participate in that contribute ...
  • Strange, Harry; Scott, Ian; Zwiggelaar, Reyer (2014)
    Background The correct segmentation of myofibres in histological muscle biopsy images is a critical step in the automatic analysis process. Errors occurring as a result of incorrect segmentations have a compounding effect ...
  • Strange, Harry; Zwiggelaar, Reyer (2010)
    Manifold learning is a widely used statistical tool which reduces the dimensionality of a data set while aiming to maintain both local and global properties of the data. We present a novel manifold learning technique which ...
  • Strange, Harry; Zwiggelaar, Reyer (2015-12)
    The need to reduce the dimensionality of a dataset whilst retaining its inherent manifold structure is key to many pattern recognition, machine learning, and computer vision problems. This process is often referred to as ...
  • Chen, Zhili; Strange, Harry; Oliver, Arnau; Denton, Erika R. E.; Boggis, C. R. M.; Zwiggelaar, Reyer (2015-01-01)
    Goal: The presence of microcalcification clusters is a primary sign of breast cancer; however, it is difficult and time consuming for radiologists to classify microcalcifications as malignant or benign. In this paper, a ...