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    Chapter and Conference Paper

    Coarse-to-Fine Minimization of Some Common Nonconvexities

    The continuation method is a popular heuristic in computer vision for nonconvex optimization. The idea is to start from a simplified problem and gradually deform it to the actual problem while tracking the sol...

    Hossein Mobahi, John W. Fisher III in Energy Minimization Methods in Computer Vi… (2015)

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    Chapter and Conference Paper

    On the Link between Gaussian Homotopy Continuation and Convex Envelopes

    The continuation method is a popular heuristic in computer vision for nonconvex optimization. The idea is to start from a simplified problem and gradually deform it to the actual task while tracking the soluti...

    Hossein Mobahi, John W. Fisher III in Energy Minimization Methods in Computer Vi… (2015)

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    Chapter

    Deep Learning via Semi-supervised Embedding

    We show how nonlinear semi-supervised embedding algorithms popular for use with “shallow” learning techniques such as kernel methods can be easily applied to deep multi-layer architectures, either as a regular...

    Jason Weston, Frédéric Ratle, Hossein Mobahi in Neural Networks: Tricks of the Trade (2012)