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» Diffusion Distance for Histogram Comparison
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CVPR
2006
IEEE
14 years 11 months ago
Diffusion Distance for Histogram Comparison
In this paper we propose diffusion distance, a new dissimilarity measure between histogram-based descriptors. We define the difference between two histograms to be a temperature f...
Haibin Ling, Kazunori Okada
BMCBI
2010
151views more  BMCBI 2010»
13 years 9 months ago
Using diffusion distances for flexible molecular shape comparison
Background: Many molecules are flexible and undergo significant shape deformation as part of their function, and yet most existing molecular shape comparison (MSC) methods treat t...
Yu-Shen Liu, Qi Li, Guo-Qin Zheng, Karthik Ramani,...

Publication
322views
14 years 2 months ago
Three-dimensional point cloud recognition via distributions of geometric distances
Ageometric framework for the recognition of three-dimensional objects represented by point clouds is introducedin this paper. The proposed approach is based on comparing distribut...
Mona Mahmoudi, Guillermo Sapiro
ICPR
2008
IEEE
14 years 10 months ago
Circular Earth Mover's Distance for the comparison of local features
Many computer vision algorithms make use of local features, and rely on a systematic comparison of these features. The chosen dissimilarity measure is of crucial importance for th...
Julie Delon, Julien Rabin, Yann Gousseau
CVPR
2008
IEEE
14 years 11 months ago
Approximate earth mover's distance in linear time
The earth mover's distance (EMD) [16] is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(N3 log N)) computational complexity...
Sameer Shirdhonkar, David W. Jacobs