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Paper Legend

Computer Vision

Natural Language Processing

  • Mikolov, Tomas, Greg Corrado, Kai Chen, and Jeffrey Dean, ‘Efficient Estimation of Word Representations in Vector Space’, in ICLR, 2013 http://arxiv.org/abs/1301.3781

Machine Learning

  • Vapnik, Vladimir Naumovich, The Nature of Statistical Learning Theory, Springer, 1995

  • Schapire, Robert E., Yoav Freund, Peter Bartlett, and Wee Sun Lee, ‘Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods’, Annals of Statistics, 26 (1998), 1651–86 https://doi.org/10.1214/AOS/1024691352

  • Roweis, Sam T, and Lawrence K Saul, ‘Nonlinear Dimensionality Reduction by Locally Linear Embedding’, Science, 290 (2000), 2323–26 https://doi.org/10.1126/science.290.5500.2323

  • Tenenbaum, J B, V de Silva, and J C Langford, ‘A Global Geometric Framework for Nonlinear Dimensionality Reduction.’, Science, 290 (2000), 2319–23 https://doi.org/10.1126/science.290.5500.2319

  • Candès, Emmanuel J, Xiaodong Li, Yi Ma, and John Wright, ‘Robust Principal Component Analysis?’, Journal of the ACM, 58 (2011), 1–37 https://doi.org/10.1145/1970392.1970395

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