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(PDF) Learning Linearized Assignment Flows for Image Labeling
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Learning Linearized Assignment Flows for Image Labeling
Learning Linearized Assignment Flows for Image Labeling
We introduce a novel algorithm for estimating optimal parameters of linearized assignment flows for image labeling. An exact formula is derived for the parameter gradient of any loss function that is constrained by the linear system of ODEs determining the linearized assignment flow. We show how to efficiently evaluate this formula using a Krylov subspace and a low-rank approximation. This ...
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Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. October 2017; ... Image Labeling on the Assignment Manifold 7. 3.1. The Assignment Manifold 8. 3.2.
Keywords Assignment ßows · Image labeling · Parameter learning · Exponential integration · Low-rank approximation Mathematics Subject ClassiÞcation 34C40 · 62H35 · 68U10 · 68T05 · 91A22
We introduce a novel algorithm for estimating optimal parameters of linearized assignment flows for image labeling. An exact formula is derived for the parameter gradient of any loss function that is constrained by the linear system of ODEs determining the linearized assignment flow. We show how to efficiently evaluate this formula using a Krylov subspace and a low-rank approximation. This ...