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COMPGEOM
2011
ACM
14 years 8 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
VIS
2003
IEEE
145views Visualization» more  VIS 2003»
16 years 5 months ago
Signed Distance Transform Using Graphics Hardware
This paper presents a signed distance transform algorithm using graphics hardware, which computes the scalar valued function of the Euclidean distance to a given manifold of co-di...
Christian Sigg, Markus H. Gross, Ronald Peikert
MICCAI
2004
Springer
16 years 5 months ago
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Christophe Lenglet, Mikaël Rousson, Rachid De...
SMI
2005
IEEE
181views Image Analysis» more  SMI 2005»
15 years 10 months ago
A Tracing Algorithm for Constructing Medial Axis Transform of 3D Objects Bound by Free-Form Surfaces
This paper presents an algorithm for generating the Medial Axis Transform(MAT) of 3D objects with free-form boundaries. The algorithm proposed uses the exact representation of the...
M. Ramanathan, B. Gurumoorthy
152
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RECOMB
2005
Springer
16 years 4 months ago
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
Chen Yanover, Tomer Hertz