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COMPGEOM
2011
ACM
13 years 1 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...
PODC
2012
ACM
12 years 2 days ago
Iterative approximate byzantine consensus in arbitrary directed graphs
This paper proves a necessary and sufficient condition for the existence of iterative algorithms that achieve approximate Byzantine consensus in arbitrary directed graphs, where e...
Nitin H. Vaidya, Lewis Tseng, Guanfeng Liang
CVPR
2007
IEEE
14 years 11 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
ICCV
2007
IEEE
14 years 11 months ago
Non-metric affinity propagation for unsupervised image categorization
Unsupervised categorization of images or image parts is often needed for image and video summarization or as a preprocessing step in supervised methods for classification, trackin...
Delbert Dueck, Brendan J. Frey
ECCV
2004
Springer
14 years 11 months ago
What Do Four Points in Two Calibrated Images Tell Us about the Epipoles?
Suppose that two perspective views of four world points are given, that the intrinsic parameters are known, but the camera poses and the world point positions are not. We prove tha...
David Nistér, Frederik Schaffalitzky