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    EMNLP
    2008
    127views Natural Language Processing» more  EMNLP 2008»
    Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy
    14 years 11 months ago
    Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy
    Download  www.aclweb.org
    In recent years, with the development of Chinese semantically annotated corpus, such as Chinese Proposition Bank and Normalization Bank, the Chinese semantic role labeling (SRL) t...
    Weiwei Ding, Baobao Chang
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    IJCAI
    2007
    237views Artificial Intelligence» more  IJCAI 2007»
    WiFi-SLAM Using Gaussian Process Latent Variable Models
    14 years 11 months ago
    WiFi-SLAM Using Gaussian Process Latent Variable Models
    Download  www.cs.washington.edu
    WiFi localization, the task of determining the physical location of a mobile device from wireless signal strengths, has been shown to be an accurate method of indoor and outdoor l...
    Brian Ferris, Dieter Fox, Neil D. Lawrence
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    NIPS
    2007
    278views Information Technology» more  NIPS 2007»
    Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
    14 years 11 months ago
    Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
    Download  books.nips.cc
    In online handwriting recognition the trajectory of the pen is recorded during writing. Although the trajectory provides a compact and complete representation of the written outpu...
    Alex Graves, Santiago Fernández, Marcus Liw...
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    EMNLP
    2004
    219views Natural Language Processing» more  EMNLP 2004»
    Applying Conditional Random Fields to Japanese Morphological Analysis
    14 years 11 months ago
    Applying Conditional Random Fields to Japanese Morphological Analysis
    Download  acl.ldc.upenn.edu
    This paper presents Japanese morphological analysis based on conditional random fields (CRFs). Previous work in CRFs assumed that observation sequence (word) boundaries were fixed...
    Taku Kudo, Kaoru Yamamoto, Yuji Matsumoto
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    NIPS
    2001
    128views Information Technology» more  NIPS 2001»
    Unsupervised Learning of Human Motion Models
    14 years 11 months ago
    Unsupervised Learning of Human Motion Models
    Download  books.nips.cc
    This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
    Yang Song, Luis Goncalves, Pietro Perona
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