Search Results - "Isahara, Hitoshi"

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  1. 1

    Classification of Two Comic Books based on Convolutional Neural Networks by Ueno, Miki, Suenaga, Toshinori, Isahara, Hitoshi

    “…Unphotographic images are the powerful representations described various situations. Thus, understanding intellectual products such as comics and picture books…”
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    Journal Article
  2. 2

    Self-organizing semantic maps and its application to word alignment in Japanese–Chinese parallel corpora by Ma, Qing, Kanzaki, Kyoko, Zhang, Yujie, Murata, Masaki, Isahara, Hitoshi

    Published in Neural networks (01-10-2004)
    “…This paper presents a method involving self-organizing monolingual semantic maps that are visible and continuous representations where Chinese or Japanese…”
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    Journal Article
  3. 3

    Developing corpus of Japanese-English Singular Sentence Textual Entailment by Hayakawa, Daiki, Tsuchiya, Masatoshi, Isahara, Hitoshi

    “…There is an increasing interest against cross lingual textual entailment (CLTE), which is one of the important tasks to improve cross lingual information…”
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    Conference Proceeding
  4. 4

    Analysis of Dialogue Between Caregivers and Recipients for a Communication Robot by Kanzaki, Kyoko, Isahara, Hitoshi

    “…We started developing a communication robot mounted Japanese dialogue system for people with dementia. For this purpose, we recorded the dialogues between…”
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    Conference Proceeding
  5. 5

    Design of an impression-based music retrieval system by Ohta, Kimiko, Kumamoto, Tadahiko, Isahara, Hitoshi

    “…Impression-based music retrieval helps users to find musical pieces that suit their preferences, feelings, or mental states from among a huge volume of a music…”
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    Journal Article
  6. 6

    Research on the Provision of User-friendly Tourist Information using Information Processing Technology by Yamamoto, Eiko, Kiyota, Yoji, Minagawa, Yuki, Isahara, Hitoshi

    “…We have been conducting research and development aiming to realize a user-friendly service that provides information that precisely meets the needs of users…”
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    Conference Proceeding
  7. 7

    Psychological Effects of Color in Overview+Detail Document Interface by Ichino, Junko, Takeuchi, Kazuhiro, Isahara, Hitoshi

    “…Online documents have two major advantages over paper documents: hypertext links and the larger volume of data space made possible by online references…”
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    Journal Article
  8. 8

    Story Pattern Analysis Based on Scene Order Information in Four-Scene Comics by Ueno, Miki, Isahara, Hitoshi

    “…We define the computational interpretation of comics(Manga) as generating story captions. It is one of challenging issues in the field of comic computing which…”
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    Conference Proceeding
  9. 9

    Effect of linguistic information in neural machine translation by Nakamura, Naomichi, Isahara, Hitoshi

    “…Deep Neural Networks(DNNs) outperform previous works in many fields such as in natural language processing. Neural Machine Translation(NMT) also outperforms…”
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    Conference Proceeding
  10. 10

    An empirical comparison of min–max-modular k-NN with different voting methods to large-scale text categorization by Wu, Ke, Lu, Bao-Liang, Utiyama, Masao, Isahara, Hitoshi

    Published in Soft computing (Berlin, Germany) (01-05-2008)
    “…Text categorization refers to the task of assigning the pre-defined classes to text documents based on their content. k -NN algorithm is one of top performing…”
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    Journal Article
  11. 11

    An exploratory study for analyzing interactional processes of group discussion: the case of a focus group interview by Suzuki, Kana, Morimoto, Ikuyo, Mizukami, Etsuo, Otsuka, Hiroko, Isahara, Hitoshi

    Published in AI & society (01-03-2009)
    “…The purposes of this study are (a) to establish a measurement for evaluating conversational impressions of group discussions, and (b) to make an exploratory…”
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    Journal Article
  12. 12

    A Comparison of Different Machine Transliteration Models by Oh, J., Choi, K., Isahara, H.

    “…Machine transliteration is a method for automatically converting words in one language into phonetically equivalent ones in another language. Machine…”
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    Journal Article
  13. 13

    Japanese-to-English Translations of Tense, Aspect, and Modality Using Machine-Learning Methods and Comparison with Machine-Translation Systems on Market by Murata, Masaki, Ma, Qing, Uchimoto, Kiyotaka, Kanamaru, Toshiyuki, Isahara, Hitoshi

    Published in Language Resources and Evaluation (01-12-2006)
    “…This paper describes experiments carried out utilizing a variety of machine-learning methods (the k-nearest neighborhood, decision list, maximum entropy, and…”
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    Journal Article
  14. 14

    An analysis on the process of creating stories by the creation support system by Katsui, Takefumi, Ueno, Miki, Isahara, Hitoshi

    “…The creation of stories has become an important topic within the field of computer science. Computational methods are helpful to analyze the process of…”
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    Conference Proceeding
  15. 15

    Classification of doll image dataset based on human experts and computational methods: A comparative analysis by Morishita, Masataka, Ueno, Miki, Isahara, Hitoshi

    “…In this paper, we analyze the important features for the difficult dataset to classify, comparing the process between human experts and computational method in…”
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    Conference Proceeding
  16. 16

    A study on the efficiency of creating stories by the use of templates by Kawagoe, Seiya, Ueno, Miki, Isahara, Hitoshi

    “…The efficiency of creating stories by writers is very important for publishing a plentiful supply of products in the market. Although there are only a handful…”
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    Conference Proceeding
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    Extraction of phrases useful for machine translation by Saito, Kenta, Yamamoto, Eiko, Ueno, Miki, Kanzaki, Kyoko, Isahara, Hitoshi

    “…To improve the quality of a machine translation system, it is useful to extract and store words and phrases which are salient in a domain and should be…”
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    Conference Proceeding
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    Large-scale patent classification with min-max modular support vector machines by Xiao-Lei Chu, Chao Ma, Jing Li, Bao-Liang Lu, Utiyama, M., Isahara, H.

    “…Patent classification is a large-scale, hierarchical, imbalanced, multi-label problem. The number of samples in a real-world patent classification typically…”
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    Conference Proceeding Journal Article