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    ICMLA
    2009
    156views Machine Learning» more  ICMLA 2009»
    Knowledge Transfer for Feature Generation in Document Classification
    13 years 5 months ago
    Knowledge Transfer for Feature Generation in Document Classification
    Download  csc.lsu.edu
    One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
    Jian Zhang, Shobhit S. Shakya
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    CVPR
    2012
    IEEE
    233views Computer Vision» more  CVPR 2012»
    Enhanced continuous sign language recognition using PCA and neural network features
    11 years 9 months ago
    Enhanced continuous sign language recognition using PCA and neural network features
    Download  www-i6.informatik.rwth-aachen.de
    In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
    Yannick L. Gweth, Christian Plahl, Hermann Ney
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    JUCS
    2008
    185views more  JUCS 2008»
    Recognising Informative Web Page Blocks Using Visual Segmentation for Efficient Information Extraction
    13 years 7 months ago
    Recognising Informative Web Page Blocks Using Visual Segmentation for Efficient Information Extraction
    Download  www.jucs.org
    Abstract: As web sites are getting more complicated, the construction of web information extraction systems becomes more troublesome and time-consuming. A common theme is the diffi...
    Jinbeom Kang, Joongmin Choi
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    IIR
    2010
    168views Information Technology» more  IIR 2010»
    Sentence-Based Active Learning Strategies for Information Extraction
    13 years 8 months ago
    Sentence-Based Active Learning Strategies for Information Extraction
    Download  sunsite.informatik.rwth-aachen.de
    Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
    Andrea Esuli, Diego Marcheggiani, Fabrizio Sebasti...
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    LREC
    2010
    188views Education» more  LREC 2010»
    Pattern-Based Extraction of Negative Polarity Items from Dependency-Parsed Text
    13 years 8 months ago
    Pattern-Based Extraction of Negative Polarity Items from Dependency-Parsed Text
    Download  www.lrec-conf.org
    We describe a new method for extracting Negative Polarity Item candidates (NPI candidates) from dependency-parsed German text corpora. Semi-automatic extraction of NPIs is a chall...
    Fabienne Fritzinger, Frank Richter, Marion Weller
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