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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)

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    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)

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    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)