Detecting pathologies with homology algorithms in magnetic resonance images of brain
Machine Graphics & Vision International Journal
Computing homology: a global reduction approach
DGCI'09 Proceedings of the 15th IAPR international conference on Discrete geometry for computer imagery
Coreduction homology algorithm for inclusions and persistent homology
Computers & Mathematics with Applications
Critical Analysis of the Spanning Tree Techniques
SIAM Journal on Numerical Analysis
A global method for reducing multidimensional size graphs
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
A fast algorithm to compute cohomology group generators of orientable 2-manifolds
Pattern Recognition Letters
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CTIC'12 Proceedings of the 4th international conference on Computational Topology in Image Context
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This paper presents a new reduction algorithm for the efficient computation of the homology of cubical sets and polotypes. The algorithm—particularly strong for low-dimensional sets embedded in high dimensions—runs in linear time. The paper presents the theoretical background of the algorithm, the algorithm itself, experimental results based on an implementation for cubical sets as well as some theoretical complexity estimates.