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» Rough Histograms for Robust Statistics
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ICPR
2000
IEEE
13 years 9 months ago
Rough Histograms for Robust Statistics
Applied statistics are widely used in pattern recognition and other computing applications tofind the most likely value of a parameter. The use of classical empirical statistics i...
Olivier Strauss, Frederic Comby, Marie-José...
3DPVT
2004
IEEE
194views Visualization» more  3DPVT 2004»
13 years 9 months ago
Thickness Histogram and Statistical Harmonic Representation for 3D Model Retrieval
Similarity measuring is a key problem for 3D model retrieval. In this paper, we propose a novel shape descriptor "Thickness Histogram" (TH) by uniformly estimating thick...
Yi Liu, Jiantao Pu, Hongbin Zha, Weibin Liu, Yusuk...
DAC
2008
ACM
14 years 7 months ago
Statistical modeling and simulation of threshold variation under dopant fluctuations and line-edge roughness
The threshold voltage (Vth) of a nanoscale transistor is severely affected by random dopant fluctuations and line-edge roughness. The analysis of these effects usually requires at...
Yun Ye, Frank Liu, Sani R. Nassif, Yu Cao
MICCAI
1998
Springer
13 years 10 months ago
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
Jean-Francois Mangin, Olivier Coulon, Vincent Frou...
ICIAR
2005
Springer
13 years 11 months ago
Color Indexing by Nonparametric Statistics
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...
Ian Fraser, Michael A. Greenspan