Mean-shift is a non-parametric feature-space analysis technique. Application domains include clustering in computer vision and image processing. ...
en.wikipedia.org/wiki/Mean-shift - Cached - Similar

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by D Comaniciu - 2002 - Cited by 2499 - Related articles
Visualization of mean shift-based filtering and segmentation for gray-level data . (a) Input. (b) Mean shift paths for the pixels on the plateau and ...
ieeexplore.ieee.org/iel5/34/21601/01000236.pdf?tp=a... - Similar

Nonlinear Mean Shift over Riemannian Manifolds C++ code to generalize nonlinear mean shift to data points lying on Riemannian manifolds. ...
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Clusters data using the Mean Shift Algorithm. testMeanShift shows an example in 2-D. Set plotFlag to true to visualize iterations. ...
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The mean shift algorithm is a nonparametric clustering technique which does ... The mean shift clustering algorithm is a practical application of the mode ...
homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL.../MeanShift.pdf - Similar

The mean shift algorithm is a powerful technique for image segmentation. The algorithm recursively moves to the kernel smoothed centroid for every data ...
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by LW Kheng - Cited by 1
Mean shift algorithm: iteratively move date point to its mean. ... Mean shift with kernel G moves x along the direction of the gradient of ...
citeseerx.ist.psu.edu/viewdoc/download;jsessionid...?doi=10.1.1...

Apr 3, 2008 ... "Mean Shift: A Robust Approach to Feature Space Analysis" (http://www.caip. rutgers.edu/riul/research/papers/pdf/mnshft.pdf) introduces the ...
cwiki.apache.org/MAHOUT/mean-shift.html - Cached - Similar

i'm trying to get a deeper understanding of this algorithm for data-driven bandwith selection (for mean shift) ...
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