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» Rough Histograms for Robust Statistics
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ICPR
2000
IEEE
13 years 8 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 8 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 5 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 8 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 10 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