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IPMI
2001
Springer
15 years 11 months ago
Intuitive, Localized Analysis of Shape Variability
Abstract. Analysis of shape variability is important for diagnostic classification and understanding of biological processes. We present a novel shape analysis approach based on a ...
Paul A. Yushkevich, Stephen M. Pizer, Sarang C. Jo...
94
Voted
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
15 years 5 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin
83
Voted
CSDA
2006
84views more  CSDA 2006»
14 years 11 months ago
Performing hypothesis tests on the shape of functional data
We explore different approaches for performing hypothesis tests on the shape of a mean function by developing general methodologies both, for the often assumed, i.i.d. error struc...
Gareth M. James, Ashish Sood
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 9 days ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
TOG
2010
156views more  TOG 2010»
14 years 5 months ago
Style-content separation by anisotropic part scales
We perform co-analysis of a set of man-made 3D objects to allow the creation of novel instances derived from the set. We analyze the objects at the part level and treat the anisot...
Kai Xu 0004, Honghua Li, Hao Zhang 0002, Daniel Co...