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» Segmenting Point Sets
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141
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ICML
2008
IEEE
16 years 5 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
159
Voted
MICCAI
2007
Springer
16 years 5 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
WADS
2005
Springer
95views Algorithms» more  WADS 2005»
15 years 10 months ago
Improved Approximation Bounds for Planar Point Pattern Matching
We analyze the performance of simple algorithms for matching two planar point sets under rigid transformations so as to minimize the directed Hausdorff distance between the sets....
Minkyoung Cho, David M. Mount
SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
15 years 8 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim
PR
2010
144views more  PR 2010»
15 years 3 months ago
Classifying transformation-variant attributed point patterns
This paper presents a classification approach, where a sample is represented by a set of feature vectors called an attributed point pattern. Some attributes of a point are transf...
K. E. Dungan, L. C. Potter