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Near-Optimal Detection of Geometric Objects by Fast Multiscale Methods
Fast Multiscale Methods Geometric Objects
2015/8/21
We construct detectors for ‘geometric’ objects in noisy data. Examples include a detector
for presence of a line segment of unknown length, position, and orientation in two-dimensional
image data wi...
Multiscale Methods for Shape Constraints in Deconvolution
Brownian motion convexity di erential inequalities ill-posed problems
2011/7/19
We derive multiscale statistics for deconvolution in order to detect qualitative features of the unknown density. An important example covered within this framework is to test for local monotonicity o...
Multiscale Methods for Shape Constraints in Deconvolution
Brownian motion convexity differential inequalities ill-posed problems mode detection monotonicity multiscale statistics
2011/8/29
Abstract: We derive multiscale statistics for deconvolution in order to detect qualitative features of the unknown density. An important example covered within this framework is to test for local mono...