| 研究課題/領域番号 |
23K16949
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分61030:知能情報学関連
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| 研究機関 | 九州大学 |
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研究代表者 |
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| 研究期間 (年度) |
2023-04-01 – 2025-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,290千円 (直接経費: 3,300千円、間接経費: 990千円)
2024年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2023年度: 3,380千円 (直接経費: 2,600千円、間接経費: 780千円)
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| キーワード | Time series / Temporal neural network / Dynamic programming |
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| 研究開始時の研究の概要 |
Dynamic neural networks are artificial neural networks that can adapt their structures based on the input during inference. This research will explore dynamic feature alignment in order to dynamically warp the structure and parameters of temporal neural networks.
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| 研究実績の概要 |
This research resulted in many international publications. There were three international journal and five international conference presentations. Of the publications, two were in one of the top international journals in the proposals field, Pattern Recognition. The international conference papers were peer-reviewed and were part of many top conferences, such as ICCV and ICDAR. In addition, I have collaborated with interdisciplinary fields such as remote sensing, bioinformatics, and natural language processing.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
This research had success in many areas including feature representation, generation, and adversarial attacks.
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| 今後の研究の推進方策 |
The research will continue as planned. In addition, new collaborations and additional research topics will be developed. There are multiple papers under review by myself and my students.
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