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» Maximum Matchings via Gaussian Elimination
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ESA
2004
Springer
120views Algorithms» more  ESA 2004»
13 years 10 months ago
Maximum Matchings in Planar Graphs via Gaussian Elimination
We present a randomized algorithm for finding maximum matchings in planar graphs in time O(nω/2 ), where ω is the exponent of the best known matrix multiplication algorithm. Sin...
Marcin Mucha, Piotr Sankowski
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
13 years 2 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
CVPR
2007
IEEE
14 years 6 months ago
Robust Click-Point Linking: Matching Visually Dissimilar Local Regions
This paper presents robust click-point linking: a novel localized registration framework that allows users to interactively prescribe where the accuracy has to be high. By emphasi...
Kazunori Okada, Xiaolei Huang
CAIP
1999
Springer
138views Image Analysis» more  CAIP 1999»
13 years 9 months ago
Procrustes Alignment with the EM Algorithm
This paper casts the problem of point-set alignment via Procrustes analysis into a maximum likelihood framework using the EM algorithm. The aim is to improve the robustness of the...
Bin Luo, Edwin R. Hancock