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Small-world approximations in spectral segmentation | IEEE Conference Publication | IEEE Xplore

Small-world approximations in spectral segmentation

Publisher: IEEE

Abstract:

Spectral segmentation has been shown to produce perceptually meaningful groupings. The underlying similarity matrices are usually very large. Several approximations - det...View more

Abstract:

Spectral segmentation has been shown to produce perceptually meaningful groupings. The underlying similarity matrices are usually very large. Several approximations - deterministic and stochastic - are used in practice. The approximations usually use only local information. It has been shown recently that a few random long-range interactions facilitate emergence of structure in several domains like Ising models. We explore the use of longrange interactions in spectral segmentation.
Date of Conference: 26-26 August 2004
Date Added to IEEE Xplore: 20 September 2004
Print ISBN:0-7695-2128-2
Print ISSN: 1051-4651
Publisher: IEEE
Conference Location: Cambridge, UK

References

References is not available for this document.