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Imaging / Vision / Segmentation / Watershed / Linear classifier / Object recognition / Pattern recognition / Yann LeCun / Artificial intelligence / Image processing / Computer vision


Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet 1,2 CFARABET @ CS . NYU . EDU Camille Couprie 1
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Document Date: 2012-06-07 13:20:08

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File Size: 1,92 MB

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Turaga / Barcelona / P. Gradient / London / Broadway / Edinburgh / Paris / /

Company

Recursive Neural Networks / Gould / Neural Information Processing Systems / Neural Networks / Ford / Convolutional Networks / Russell / Intel / RAND Corp. / /

Country

United Kingdom / Scotland / /

Facility

Laplacian pyramid / Courant Institute of Mathematical Sciences / New York University / /

IndustryTerm

filter bank / depth-first search manner / grid-search / bank / inference algorithms / cover algorithm / feature learning systems / scene parsing systems / regular server / energy-based models / real time applications / multiscale network / /

Organization

New York University / US Federal Reserve / Courant Institute of Mathematical Sciences / Stanford / /

Person

Camille Couprie / Victor Lempitsky / Stanford Background / Laurent Najman / /

Position

convolutional network feature extractor / author / pylon model for semantic segmentation / feature extractor / Scale-invariant / scene-level feature extraction The feature extractor / multi-scale / dense feature extractor / low-level feature extractor / /

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South Carolina / New York / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / /

Technology

inference algorithms / cover algorithm / neural network / L. Incremental algorithm / Machine Learning / Image Processing / /

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