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    ICA
    2007
    Springer
    133views Signal Processing» more  ICA 2007»
    Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses
    15 years 7 months ago
    Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses
    Download  serpens.salleurl.edu
    Deriving a thematically meaningful partition of an unlabeled document corpus is a challenging task. In this context, the use of document representations based on latent thematic ge...
    Xavier Sevillano, Germán Cobo, Francesc Al&...
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    ICDAR
    1995
    IEEE
    78views Document Analysis» more  ICDAR 1995»
    A new vectorization-based approach to the skeletonization of binary images
    15 years 7 months ago
    A new vectorization-based approach to the skeletonization of binary images
    Download  fox1.csie.ncu.edu.tw
    Kuo-Chin Fan, Den-Fong Chen, Ming-Gang Wen
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    RIDE
    1991
    IEEE
    104views Document Analysis» more  RIDE 1991»
    On Applying Classification to Schema Integration
    15 years 7 months ago
    On Applying Classification to Schema Integration
    Download  knoesis.wright.edu
    Ashok Savasere, Amit P. Sheth, Sunit K. Gala, Sham...
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    DRR
    2010
    134views Document Analysis» more  DRR 2010»
    A general approach to discovering, registering, and extracting features from raster maps
    15 years 5 months ago
    A general approach to discovering, registering, and extracting features from raster maps
    Download  www.isi.edu
    Craig A. Knoblock, Ching-Chien Chen, Yao-Yi Chiang...
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    162
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    RIVF
    2007
    140views Internet Technology» more  RIVF 2007»
    Disambiguation of People in Web Search Using a Knowledge Base
    15 years 4 months ago
    Disambiguation of People in Web Search Using a Knowledge Base
    Download  www.adl.nii.ac.jp
    — Results of queries by personal names often contain documents related to several people because of the namesake problem. In order to differentiate documents related to different...
    Quang Minh Vu, Tomonari Masada, Atsuhiro Takasu, J...
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