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Bilinear Parameterization for Non-Separable Singular Value Penalties
Low rank inducing penalties have been proven to successfully uncover fundamental structures considered in computer vision and machine learning; however, such methods generally lead to non-convex optimization problems.
Radial Distortion Invariant Factorization for Structure From Motion
Factorization methods are frequently used for structure from motion problems (SfM).
Global Optimality for Point Set Registration Using Semidefinite Programming
In this paper we present a study of global optimality conditions for Point Set Registration (PSR) with missing data.
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