# -*- coding: euc-jp -*- # # template # { # type: カテゴリを表す(カテゴリ指定のやり方に関してはindex.cgiの TYPE2NAME を参照), # author: , # title: , # publishedin: , # short: , # pubtype: , # city: , # country: , # pages: , # date: , # rate: , # award: , # award_link: , # } # # ==========conf============== # ### Example ### #{ ogino/ncsp # type:conf, # plain:
  • Natsuki Ogino, Kazumasa Horie, and Hiroyuki Kitagawa,
    "Semantic Image Synthesis of Complicated Objects using Line-drawing",
    Proc. 2020 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'20), No. 1PM1-1-3, pp. 373 - 376, Honolulu, Hawaii, February 28 - March 2, 2020.
  • #} { shiokawa/aaai type:conf, plain:
  • Hiroaki Shiokawa,
    “Scalable Affinity Propagation for Massive Datasets,”
    In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI2021), Virtual Conference, February 2021 } { kitagawa/ficc type:conf, plain:
  • Hayata Takagi, Hanxiong Chen, Kazutaka Furuse, and Hiroyuki Kitagawa, (Best Paper Award)
    "Aggregate Nearest Neighborhood Queries",
    Proc. Future of Information and Communications Conference (FICC) 2021, April 2021. } { kitagawa/ficc type:conf, plain:
  • Yasuyuki Kato, Hanxiong Chen, Kazutaka Furuse, and Hiroyuki Kitagawa,
    "Unifying Spatial Keyword Indexing in Continuous Search on Dynamic Objects",
    Proc. Future of Information and Communications Conference (FICC) 2021, April 2021. } { kitagawa/pakdd type:conf, plain:
  • Vijdan Khalique and Hiroyuki Kitagawa,
    "VOA*: Fast Angle-Based Outlier Detection Over High-Dimensional Data Streams",
    Proc. 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2021), pp. 44-52, May 11-14, 2021. (Acceptance rate 20%)
    DOI: https://doi.org/10.1007/978-3-030-75762-5_4 } { yoshimura/mipr type:conf, plain:
  • Carina Miwa Yoshimura and Hiroyuki Kitagawa,
    "TLV-Bandit: Bandit Method for Collecting Topic-related Local Tweets,"
    Proc. IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR2021), September 8-10, 2021. Tokyo, Japan. (to appear) } { yamada/dexa type: conf, plain:
  • Masaya Yamada, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono,
    "Augmented Lineage: Traceability of Data Analysis Including Complex UDFs",
    In Proceedings of the 32nd International Conference on Database and Expert Systems Applications (DEXA2021), September 27-30, 2021. (to appear)
  • }