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    IFIP12
    2007
    164views Information Technology» more  IFIP12 2007»
    Patient Fall Detection using Support Vector Machines
    14 years 11 months ago
    Patient Fall Detection using Support Vector Machines
    Download  www.ait.gr
    This paper presents a novel implementation of a patient fall detection system that may be used for patient activity recognition and emergency treatment. Sensors equipped with accel...
    Charalampos Doukas, Ilias Maglogiannis, Philippos ...
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    IMECS
    2007
    187views Theoretical Computer Science» more  IMECS 2007»
    Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
    14 years 11 months ago
    Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
    Download  www.iaeng.org
    — Among all ECG components, QRS complex is the most significant feature. Entropy based method for the detection of QRS complexes (cardiac beat) in the single lead Electrocardiogr...
    Sarabjeet Singh Mehta, Nitin Shivappa Lingayat
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    NAACL
    2007
    142views Computational Linguistics» more  NAACL 2007»
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    14 years 11 months ago
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    Download  www.cs.utexas.edu
    We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
    Rohit J. Kate, Raymond J. Mooney
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    EMNLP
    2006
    107views Natural Language Processing» more  EMNLP 2006»
    Re-evaluating Machine Translation Results with Paraphrase Support
    14 years 11 months ago
    Re-evaluating Machine Translation Results with Paraphrase Support
    Download  www.isi.edu
    In this paper, we present ParaEval, an automatic evaluation framework that uses paraphrases to improve the quality of machine translation evaluations. Previous work has focused on...
    Liang Zhou, Chin-Yew Lin, Eduard H. Hovy
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    ICONIP
    2004
    149views Information Technology» more  ICONIP 2004»
    Content-Based Video Classification Using Support Vector Machines
    14 years 11 months ago
    Content-Based Video Classification Using Support Vector Machines
    Download  www.columbia.edu
    Abstract. In this paper, we investigate the problem of video classification into predefined genre. The approach adopted is based on spatial and temporal descriptors derived from sh...
    Vakkalanka Suresh, C. Krishna Mohan, R. Kumara Swa...
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