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    CCS
    2005
    ACM
    114views Security Privacy» more  CCS 2005»
    Keyboard acoustic emanations revisited
    14 years 1 months ago
    Keyboard acoustic emanations revisited
    Download  www.cs.berkeley.edu
    We examine the problem of keyboard acoustic emanations. We present a novel attack taking as input a 10-minute sound recording of a user typing English text using a keyboard, and t...
    Li Zhuang, Feng Zhou, J. D. Tygar
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    EMNLP
    2009
    163views Natural Language Processing» more  EMNLP 2009»
    Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
    13 years 5 months ago
    Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
    Download  www.aclweb.org
    We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to ano...
    David A. Smith, Jason Eisner
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    ACL
    2009
    157views Computational Linguistics» more  ACL 2009»
    A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
    13 years 5 months ago
    A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
    Download  wing.comp.nus.edu.sg
    Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
    Tao Li, Yi Zhang 0005, Vikas Sindhwani
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    ML
    2008
    ACM
    134views Machine Learning» more  ML 2008»
    Multilabel classification via calibrated label ranking
    13 years 7 months ago
    Multilabel classification via calibrated label ranking
    Download  www.mathematik.uni-marburg.de
    Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
    Johannes Fürnkranz, Eyke Hüllermeier, En...
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    ICML
    2003
    IEEE
    114views Machine Learning» more  ICML 2003»
    Unsupervised Learning with Permuted Data
    14 years 8 months ago
    Unsupervised Learning with Permuted Data
    Download  www.hpl.hp.com
    We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
    Sergey Kirshner, Sridevi Parise, Padhraic Smyth
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