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» Derandomization of Euclidean Random Walks
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NIPS
2004
13 years 7 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
ICCV
2001
IEEE
14 years 8 months ago
Euclidean Reconstruction and Auto-Calibration from Continuous Motion
This paper deals with the problem of incorporating natural regularity conditions on the motion in an MAP estimator for structure and motion recovery from uncalibrated image sequen...
Fredrik Kahl, Anders Heyden
CORR
2006
Springer
151views Education» more  CORR 2006»
13 years 6 months ago
Graph Laplacians and their convergence on random neighborhood graphs
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxb...
CC
2008
Springer
133views System Software» more  CC 2008»
13 years 6 months ago
Hardness Amplification via Space-Efficient Direct Products
We prove a version of the derandomized Direct Product lemma for deterministic space-bounded algorithms. Suppose a Boolean function g : {0, 1}n {0, 1} cannot be computed on more th...
Venkatesan Guruswami, Valentine Kabanets
NIPS
2003
13 years 7 months ago
Ranking on Data Manifolds
The Google search engine has enjoyed huge success with its web page ranking algorithm, which exploits global, rather than local, hyperlink structure of the web using random walks....
Dengyong Zhou, Jason Weston, Arthur Gretton, Olivi...