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EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence
(Georgia Institute of Technology, 2003)
Learning spatial models from sensor data raises the challenging data association problem of relating model parameters to individual measurements. This paper proposes an EM-based algorithm, which solves the model learning ...
Spectral Partitioning for Structure from Motion
(Georgia Institute of Technology, 2003-10)
We propose a spectral partitioning approach for large-scale optimization problems, specifically structure from motion. In structure from motion, partitioning methods reduce the problem into smaller and better conditioned ...