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Kenji Nishida: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yukihiro Morita, Haruo Yokota, Kenji Nishida, Hidenori Itoh
    Retrieval-By-Unification Operation on a Relational Knowledge Base. [Citation Graph (5, 7)][DBLP]
    VLDB, 1986, pp:52-59 [Conf]
  2. Kenji Nishida, Tohru Nitta, Toshio Tanaka
    Emotion Memory Model. [Citation Graph (0, 0)][DBLP]
    Applied Informatics, 1999, pp:222-225 [Conf]
  3. Toshio Shimada, Kei Hiraki, Kenji Nishida
    An Architecture of a Data Flow Machine and Its Evaluation. [Citation Graph (0, 0)][DBLP]
    COMPCON, 1984, pp:486-490 [Conf]
  4. Kenji Nishida, Yasunori Kimura, Akira Matsumoto, Atsuhiro Goto
    Evaluation of MRB Garbage Collection on Parallel Logic Programming Architectures. [Citation Graph (0, 0)][DBLP]
    ICLP, 1990, pp:83-95 [Conf]
  5. Kei Hiraki, Kenji Nishida, Satoshi Sekiguchi, Toshio Shimada
    Maintenance Architecture and Its LSI Implementation of a Dataflow Computer with a Large Number of Processors. [Citation Graph (0, 0)][DBLP]
    ICPP, 1986, pp:584-591 [Conf]
  6. Akinori Hidaka, Kenji Nishida, Takio Kurita
    Face Tracking by Maximizing Classification Score of Face Detector Based on Rectangle Features. [Citation Graph (0, 0)][DBLP]
    ICVS, 2006, pp:48- [Conf]
  7. Yoshinori Yamaguchi, Kenji Toda, Kenji Nishida, Eiichi Takahashi
    The Execution Model and the Architecture for Real-Time Parallel Systems. [Citation Graph (0, 0)][DBLP]
    IFIP Congress (1), 1994, pp:177-182 [Conf]
  8. Kenji Toda, Kenji Nishida, Yoshinobu Uchibori, Shuichi Sakai, Toshio Shimada
    Parallel Multi-Context Architecture with High-Speed Synchronization Mechanism. [Citation Graph (0, 0)][DBLP]
    IPPS, 1991, pp:336-343 [Conf]
  9. Toshio Shimada, Kei Hiraki, Kenji Nishida, Satoshi Sekiguchi
    Evaluation of a Prototype Data Flow Processor of the SIGMA-1 for Scientific Computations. [Citation Graph (0, 0)][DBLP]
    ISCA, 1986, pp:226-234 [Conf]
  10. Kenji Nishida, Takashi Takahashi, Takio Kurita
    A Topographic Kernel-based Regression Method. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:521-524 [Conf]
  11. Kenji Nishida, Takio Kurita
    Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:22-31 [Conf]
  12. Kenji Nishida, Kenji Toda, Toshio Shimada, Yoshinori Yamaguchi
    The Hardware Architecture of the CODA Real-Time Parallel Processor. [Citation Graph (0, 0)][DBLP]
    PARCO, 1993, pp:395-402 [Conf]
  13. Heejo Lee, Kenji Toda, Jong Kim, Kenji Nishida, Eiichi Takahashi, Yoshinori Yamaguchi
    Performance comparison of real-time architectures using simulation. [Citation Graph (0, 0)][DBLP]
    RTCSA, 1995, pp:150-0 [Conf]
  14. Yoshinori Yamaguchi, Kenji Toda, Kenji Nishida, Eiichi Takahashi
    CODA-R: a reconfigurable testbed for real-time parallel computation. [Citation Graph (0, 0)][DBLP]
    RTCSA, 1997, pp:252-259 [Conf]
  15. Kenji Toda, Kenji Nishida, Eiichi Takahashi, Yoshinori Yamaguchi
    A Priority Forwarding Router Chip for Real-Time Interconnection Networks. [Citation Graph (0, 0)][DBLP]
    IEEE Real-Time Systems Symposium, 1994, pp:63-73 [Conf]
  16. Kenji Nishida, Takio Kurita
    Kernel Feature Selection to Improve Generalization Performance of Boosting Classifiers. [Citation Graph (0, 0)][DBLP]
    IPCV, 2006, pp:627-632 [Conf]
  17. Toshio Shimada, Kenji Toda, Kenji Nishida
    Real-Time Parallel Architecture for Sensor Funsion. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1992, v:15, n:2, pp:143-152 [Journal]
  18. Kei Hiraki, Kenji Nishida, Toshio Shimada
    Evaluation of Associative Memory Using Parallel Chained Hashing. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1984, v:33, n:9, pp:851-855 [Journal]

  19. Boosting with cross-validation based feature selection for pedestrian detection. [Citation Graph (, )][DBLP]

  20. A priority forwarding scheme for real-time multistage interconnection networks. [Citation Graph (, )][DBLP]

  21. Pedestrian Detection by Boosting Soft-Margin SVM with Local Feature Selection. [Citation Graph (, )][DBLP]

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