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  1. No Access

    Chapter and Conference Paper

    Natural Image Segmentation with Adaptive Texture and Boundary Encoding

    We present a novel algorithm for unsupervised segmentation of natural images that harnesses the principle of minimum description length (MDL). Our method is based on observations that a homogeneously textured ...

    Shankar R. Rao, Hossein Mobahi, Allen Y. Yang… in Computer Vision – ACCV 2009 (2010)

  2. No Access

    Article

    Segmentation of Natural Images by Texture and Boundary Compression

    We present a novel algorithm for segmentation of natural images that harnesses the principle of minimum description length (MDL). Our method is based on observations that a homogeneously textured region of a n...

    Hossein Mobahi, Shankar R. Rao, Allen Y. Yang… in International Journal of Computer Vision (2011)

  3. No Access

    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)

  4. No Access

    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)

  5. No Access

    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)

  6. No Access

    Chapter and Conference Paper

    A Bayesian State-Space Approach for Damage Detection and Classification

    The problem of automatic damage detection in civil structures is complex and requires a system that can interpret sensor data into meaningful information. We apply our recently developed switching Bayesian mod...

    Zoran Dzunic, Justin G. Chen, Hossein Mobahi… in Dynamics of Civil Structures, Volume 2 (2015)