G
Gerald Schaefer
Researcher at Loughborough University
Publications - 474
Citations - 8133
Gerald Schaefer is an academic researcher from Loughborough University. The author has contributed to research in topics: Image retrieval & Automatic image annotation. The author has an hindex of 35, co-authored 465 publications receiving 6835 citations. Previous affiliations of Gerald Schaefer include University of Manitoba & University of East Anglia.
Papers
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Gradient vector flow with mean shift for skin lesion segmentation.
TL;DR: A new mean shift based gradient vector flow (GVF) algorithm that drives the internal/external energies towards the correct direction within the standard GVF cost function is introduced.
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An ensemble classification approach for melanoma diagnosis
TL;DR: An effective approach to melanoma identification from dermoscopic images of skin lesions based on ensemble classification is presented, to provide both high sensitivity and specificity and to lead to statistically better recognition performance compared to other dedicated classification algorithms.
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A weighted fuzzy classifier and its application to image processing tasks
TL;DR: This paper proposes a classifier based on fuzzy if-then rules that allows the incorporation of weighted training patterns which can be used to adjust the sensitivity of the classification with respect to certain classes.
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A next generation browsing environment for large image repositories
TL;DR: This paper presents an effective approach to handling image repositories providing the user with an intuitive interface of visualising and browsing large collections of pictures, based on the idea of similarity-based organisation of images.
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Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System
TL;DR: This paper builds upon existing distributed task allocation algorithms, extending them with a novel method for maximizing the number of task assignments, and shows results show up to a 20% increase in task allocations using the proposed method.