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Fingerprint Dive into the research topics where Seiichi Uchida is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 12 Similar Profiles
Character recognition Engineering & Materials Science
Optical character recognition Engineering & Materials Science
Dynamic programming Engineering & Materials Science
Neural networks Engineering & Materials Science
Cameras Engineering & Materials Science
Experiments Engineering & Materials Science
Pixels Engineering & Materials Science
Pattern recognition Engineering & Materials Science

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Research Output 1996 2020

DTW-NN: A novel neural network for time series recognition using dynamic alignment between inputs and weights

Iwana, B. K., Frinken, V. & Uchida, S., Jan 5 2020, In : Knowledge-Based Systems. 188, 104971.

Research output: Contribution to journalArticle

Time series
Neural networks
Feedforward neural networks

Time series classification using local distance-based features in multi-modal fusion networks

Kenji Iwana, B. & Uchida, S., Jan 1 2020, In : Pattern Recognition. 97, 107024.

Research output: Contribution to journalArticle

Time series
Data fusion
Learning systems
Neural networks

A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction

Hayashi, H. & Uchida, S., Jan 1 2019, Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Jawahar, C. V., Li, H., Schindler, K. & Mori, G. (eds.). Springer Verlag, p. 414-430 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11362 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
2 Citations (Scopus)

Automatic Generation of Typographic Font from Small Font Subset

Miyazaki, T., Tsuchiya, T., Sugaya, Y., Omachi, S., Iwamura, M., Uchida, S. & Kise, K., Jan 1 2019, (Accepted/In press) In : IEEE Computer Graphics and Applications.

Research output: Contribution to journalArticle

Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks

Harada, S., Hayashi, H. & Uchida, S., Jan 1 2019, In : IEEE Access. 7, p. 144292-144302 11 p., 8794813.

Research output: Contribution to journalArticle

Open Access
Time series
Deep learning