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Harry Strange
Harry Strange
Unknown affiliation
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
Topological modeling and classification of mammographic microcalcification clusters
Z Chen, H Strange, A Oliver, ERE Denton, C Boggis, R Zwiggelaar
IEEE transactions on biomedical engineering 62 (4), 1203-1214, 2014
1082014
Texture segmentation using different orientations of GLCM features
A Rampun, H Strange, R Zwiggelaar
Proceedings of the 6th International Conference on Computer Vision/Computer …, 2013
532013
Modelling mammographic microcalcification clusters using persistent mereotopology
H Strange, Z Chen, ERE Denton, R Zwiggelaar
Pattern Recognition Letters 47, 157-163, 2014
422014
Open problems in spectral dimensionality reduction
H Strange, R Zwiggelaar
Springer International Publishing, 2014
412014
Automatic estimation of wheat grain morphometry from computed tomography data
H Strange, R Zwiggelaar, C Sturrock, SJ Mooney, JH Doonan
Functional Plant Biology 42 (5), 452-459, 2014
362014
A generalised solution to the out-of-sample extension problem in manifold learning
H Strange, R Zwiggelaar
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 471-476, 2011
322011
Analysis of mammographic microcalcification clusters using topological features
Z Chen, H Strange, E Denton, R Zwiggelaar
Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan …, 2014
72014
Meningioma subtype classification using morphology features and random forests
H Strange, R Zwiggelaar
Medical Imaging 2013: Digital Pathology 8676, 253-259, 2013
72013
Unsupervised cell nuclei segmentation based on morphology and adaptive active contour modelling
Z Zeng, H Strange, C Han, R Zwiggelaar
Image Analysis and Recognition: 10th International Conference, ICIAR 2013 …, 2013
72013
Parallel projections for manifold learning
H Strange, R Zwiggelaar
2010 Ninth International Conference on Machine Learning and Applications …, 2010
72010
Myofibre segmentation in H&E stained adult skeletal muscle images using coherence-enhancing diffusion filtering
H Strange, I Scott, R Zwiggelaar
BMC Medical Imaging 14, 1-13, 2014
62014
Manifold learning for density segmentation in high risk mammograms
H Strange, E Denton, M Kibiro, R Zwiggelaar
Pattern Recognition and Image Analysis: 6th Iberian Conference, IbPRIA 2013 …, 2013
62013
Large Scale Data
H Strange, R Zwiggelaar, H Strange, R Zwiggelaar
Open Problems in Spectral Dimensionality Reduction, 69-81, 2014
52014
Fuzzy-entropy based image congealing
N Mac Parthaláin, H Strange
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013
52013
Classification performance related to intrinsic dimensionality in mammographic image analysis
HG Strange, R Zwiggelaar
Proceedings of the Thirteenth Annual Conference on Medical Image …, 2009
52009
Piecewise-linear manifold learning: A heuristic approach to non-linear dimensionality reduction
H Strange, R Zwiggelaar
Intelligent Data Analysis 19 (6), 1213-1232, 2015
32015
Spectral dimensionality reduction
H Strange, R Zwiggelaar, H Strange, R Zwiggelaar
Open Problems in Spectral Dimensionality Reduction, 7-22, 2014
32014
Intrinsic dimensionality
H Strange, R Zwiggelaar, H Strange, R Zwiggelaar
Open Problems in Spectral Dimensionality Reduction, 41-52, 2014
32014
Piecewise-Linear Manifold Learning
H Strange
Aberystwyth University, 2011
12011
Iterative hyperplane merging: A framework for manifold learning
H Strange, R Zwiggelaar
Science 4 (2), 87-99, 1989
11989
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