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» An Efficient Algorithm for Local Distance Metric Learning
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JCST
2010
109views more  JCST 2010»
14 years 4 months ago
Feature Preserving Mesh Simplification Using Feature Sensitive Metric
We present a new method for feature preserving mesh simplification based on feature sensitive (FS) metric. Previous quadric error based approach is extended to a high-dimensional F...
Jin Wei, Yu Lou
ICCV
1998
IEEE
15 years 11 months ago
A Metric for Distributions with Applications to Image Databases
Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India We introduce a new distance between two distributions that we call the Earth Mover's D...
Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas
ATVA
2004
Springer
77views Hardware» more  ATVA 2004»
15 years 3 months ago
Localizing Errors in Counterexample with Iteratively Witness Searching
We propose a novel approach to locate errors in complex counterexample of safety property. Our approach measures the distance between two state transition traces with difference o...
ShengYu Shen, Ying Qin, Sikun Li
CVPR
2008
IEEE
15 years 11 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
75
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ECCV
2006
Springer
15 years 11 months ago
EMD-L1: An Efficient and Robust Algorithm for Comparing Histogram-Based Descriptors
We propose a fast algorithm, EMD-L1, for computing the Earth Mover's Distance (EMD) between a pair of histograms. Compared to the original formulation, EMD-L1 has a largely si...
Haibin Ling, Kazunori Okada