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SCALESPACE
2009
Springer
15 years 4 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
CSDA
2006
142views more  CSDA 2006»
14 years 10 months ago
A studentized range test for the equivalency of normal means under heteroscedasticity
A studentized range test using a two-stage and a one-stage sampling procedures, respectively, is proposed for testing the hypothesis that the average deviation of the normal means...
Miin-Jye Wen, Hubert J. Chen
TSP
2008
89views more  TSP 2008»
14 years 9 months ago
The Kernel Least-Mean-Square Algorithm
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
ACL
2006
14 years 11 months ago
Acceptability Prediction by Means of Grammaticality Quantification
We propose in this paper a method for quantifying sentence grammaticality. The approach based on Property Grammars, a constraint-based syntactic formalism, makes it possible to ev...
Philippe Blache, Barbara Hemforth, Stéphane...
ICCV
2001
IEEE
15 years 12 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer