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    ACL
    2008
    213views Computational Linguistics» more  ACL 2008»
    Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
    13 years 6 months ago
    Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
    Download  www.cs.umass.edu
    This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
    Gideon S. Mann, Andrew McCallum
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    EMNLP
    2010
    214views Natural Language Processing» more  EMNLP 2010»
    Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
    13 years 2 months ago
    Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
    Download  www.petrovi.de
    We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
    Amarnag Subramanya, Slav Petrov, Fernando Pereira
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    CIVR
    2006
    Springer
    136views Image Analysis» more  CIVR 2006»
    Semi-supervised Learning for Image Annotation Based on Conditional Random Fields
    13 years 6 months ago
    Semi-supervised Learning for Image Annotation Based on Conditional Random Fields
    Download  www.jos.org.cn
    Wei Li, Maosong Sun
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    CIVR
    2008
    Springer
    279views Image Analysis» more  CIVR 2008»
    Semi-supervised learning of object categories from paired local features
    13 years 6 months ago
    Semi-supervised learning of object categories from paired local features
    Download  www.cs.cmu.edu
    This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
    Wen Wu, Jie Yang
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    CVPR
    2010
    IEEE
    437views Computer Vision» more  CVPR 2010»
    Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation
    13 years 10 months ago
    Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation
    Download  vireo.cs.cityu.edu.hk
    Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
    Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-seng chu...
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