| Document Date: 2012-02-12 20:13:30
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City Barcelona / London / Paris / / Company Recursive Neural Networks / Gould / Neural Information Processing Systems / Convolutional Networks / Intel / RAND Corporation / / Country France / United States / / Currency pence / / Facility X2 pyramid / Laplacian pyramid / Courant Institute of Mathematical Sciences New York University / / IndustryTerm depth-first search manner / grid-search / bank / inference algorithms / cover algorithm / scene parsing systems / regular server / energy-based models / multiscale network / / Organization New York University / New York / American Mathematical Society / US Federal Reserve / Courant Institute / Stanford / / Person S. Turaga / V / Mathematical Morphology / / Position convolutional network feature extractor / extractor / feature extractor / multi-scale / dense feature extractor / Scale-invariant / scene-level feature extraction Our feature extractor / salesman / / ProvinceOrState New York / / PublishedMedium Proceedings of the American Mathematical Society / Machine Learning / Journal of Machine Learning Research / / Technology inference algorithms / cover algorithm / neural network / Machine Learning / Image Processing / / URL http /
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Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet1,2 Camille Couprie1