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ICPR
2004
IEEE
16 years 4 months ago
A Statistical Shape Model without Using Landmarks
This paper describes the construction of a statistical shape model based on the iterative closest point algorithm. The method does not require manual nor automatic identification ...
Frans Vos, Paul W. de Bruin, J. G. M. Aubel, Geert...
103
Voted
ICPR
2002
IEEE
16 years 4 months ago
Linear and Non-Linear Model for Statistical Localization of Landmarks
This paper presents and compares 3 methods for the statistical localization of partially occulted landmarks. In many real applications, some information is visible in images and s...
Barbara Romaniuk, Michel Desvignes, Marinette Reve...
CHI
2009
ACM
16 years 3 months ago
Some statistical analyses of CHI
In this paper I show a variety of ways to represent and think about statistical aspects of CHI and its sister conferences. In particular, I look at author counts, gender analysis,...
Joseph Kaye
RECOMB
2006
Springer
16 years 3 months ago
Alignment Statistics for Long-Range Correlated Genomic Sequences
It is well known that the base composition along eukaryotic genomes is long-range correlated. Here, we investigate the effect of such long-range correlations on alignment score sta...
Philipp W. Messer, Ralf Bundschuh, Martin Vingron,...
CSE
2009
IEEE
15 years 10 months ago
Self-Tuning the Parameter of Adaptive Non-linear Sampling Method for Flow Statistics
—Flow statistics is a basic task of passive measurement and has been widely used to characterize the state of the network. Adaptive Non-Linear Sampling (ANLS)is one of the most a...
Chengchen Hu, Bin Liu