Faculty Information - Higuchi Naoya | SOJO UNIVERSITY

（Last updated : 2021-11-10 16:03:38）

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Higuchi Naoya

Department / Course FACULTY OF COMPUTER AND INFORMATIONSCIENCES Department of Computer and Information Sciences

Job

Book and thesis
1.	2019/12	Papers	Filtering for Nearest Neighbor Search by Sketch Enumeration without Using Matching Lecture Notes in Computer Science 11919,pp.240-252 (Co-authored)
2.	2020/01	Papers	Annealing by Increasing Resampling Lecture Notes in Computer Science 11996,pp.71-92 (Co-authored)
3.	2020/09	Papers	Pivot Selection for Narrow Sketches by Optimization Algorithms Lecture Notes in Computer Science 12440,pp.33-46 (Co-authored)

Academic conference presentation
1.	2017/09	Pivot selection for dimension reduction using annealing by increasing resampling (Lernen, Wissen, Daten, Analysen 2017)
2.	2018/01	Neighbor Search using Sketches as Quantized Images of Dimension Reduction (7th International Conference on Pattern Recognition Applications and Methods)
3.	2018/03/01	A Study on Optimization of Similarity Search by RTree using Dimension Reduction (火の国シンポジウム2018)
4.	2019/02	Annealing by Increasing Resampling in the Unified View of Simulated Annealing (8th International Conference on Pattern Recognition Applications and Methods)
5.	2019/02	Fast Nearest Neighbor Search with Narrow 16-bit Sketch (8th International Conference on Pattern Recognition Applications and Methods)

Academic background
1.	2011/04～2015/03	Department of Artificial Intelligence Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Graduated Bachelor of Engineering
2.	2015/04～2017/03	Master Major of Advanced Informatics Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Finished Master of Engineering
3.	2017/04～2020/03	Doctorial Major of Computer Science and Systems Engineering Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Finished Doctor of Engineering

Business career
1.	2021/09/01 ～	SOJO UNIVERSITY FACULTY OF COMPUTER AND INFORMATIONSCIENCES Department of Computer and Information Sciences

E-Mail Address

Present specialized field
Intelligent informatics keyword(similarity search, large dataset)