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On the Convergence and Consistency of the Blurring Mean-Shift Process
Mean-shift Convergence Consistency Clustering,γ-divergence Super robustness
2013/6/13
The mean-shift algorithm is a popular algorithm in computer vision and image processing. It can also be cast as a minimum gamma-divergence estimation. In this paper we focus on the "blurring" mean shi...
The Lasso is a popular statistical tool invented by Robert Tibshirani for linear regression when the number of covariates is greater than or comparable to the number of observations. The validity of t...
On the consistency of Fréchet mean in deformable models for curve and image analysis
Mean pattern estimation Fr´ echet mean Shape analysis Deformable models
2010/10/14
A new class of statistical deformable models is introduced to study high-dimensional curves or images. These models are useful to analyze the geometric modes of variation of a data set around a commo...