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Daiki Masumoto: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Rujie Liu, Takayuki Baba, Daiki Masumoto
    Attributed Graph Matching Based Engineering Drawings Retrieval. [Citation Graph (0, 0)][DBLP]
    Document Analysis Systems, 2004, pp:378-388 [Conf]
  2. Takashi Kimoto, Daiki Masumoto, Hiroshi Yamakawa, Shigemi Nagata
    Hierarchical Sensory Information Processing Model with Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICRA (1), 1993, pp:929-934 [Conf]
  3. Takayuki Baba, Rujie Liu, Susumu Endo, Shuichi Shiitani, Yusuke Uehara, Daiki Masumoto, Shigemi Nagata
    Similarity-based Partial Image Retrieval System for Engineering Drawings. [Citation Graph (0, 0)][DBLP]
    ISM, 2005, pp:303-310 [Conf]
  4. Yusuke Uehara, Susumu Endo, Shuichi Shiitani, Daiki Masumoto, Shigemi Nagata
    A Computer-aided Visual Exploration System for Knowledge Discovery from Images. [Citation Graph (0, 0)][DBLP]
    MDM/KDD, 2001, pp:102-109 [Conf]
  5. Weibin Liu, Yusuke Uehara, Hao Yu, Daiki Masumoto, Yi Liu, Jiantao Pu, Hongbin Zha
    Interactive Visual Retrieval System for Large Scale 3D Models Database. [Citation Graph (0, 0)][DBLP]
    MMM, 2005, pp:458-463 [Conf]
  6. Rujie Liu, Yuehong Wang, Takayuki Baba, Yusuke Uehara, Daiki Masumoto, Shigemi Nagata
    SVM-Based Active Feedback in Image Retrieval Using Clustering and Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    CAIP, 2007, pp:954-961 [Conf]

  7. Shape Detection from Line Drawings by Hierarchical Matching. [Citation Graph (, )][DBLP]

  8. Shape based 3D model retrieval without query. [Citation Graph (, )][DBLP]

  9. Device parts retrieval from assembly drawings with SVM based active relevance feedback. [Citation Graph (, )][DBLP]

  10. Semi-supervised learning by locally linear embedding in kernel space. [Citation Graph (, )][DBLP]

  11. An Images-Based 3D Model Retrieval Approach. [Citation Graph (, )][DBLP]

  12. Hierarchical sensory information processing model with neural networks. [Citation Graph (, )][DBLP]

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