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

  • 2 Similar Profiles
Data mining Engineering & Materials Science
Experiments Engineering & Materials Science
Robots Engineering & Materials Science
Mobile robots Engineering & Materials Science
Exception Mathematics
Clustering Mathematics
Classifiers Engineering & Materials Science
Time series Engineering & Materials Science

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Research Output 1991 2019

Image classification
Speech recognition
Classifiers
Deep neural networks
Experiments

Kernelized cross-view quadratic discriminant analysis for person re-identification

Matsukawa, T. & Suzuki, E., May 1 2019, Proceedings of the 16th International Conference on Machine Vision Applications, MVA 2019. Institute of Electrical and Electronics Engineers Inc., 8757990. (Proceedings of the 16th International Conference on Machine Vision Applications, MVA 2019).

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

Hilbert spaces
Discriminant analysis

Multimodal Deep Neural Network with Image Sequence Features for Video Captioning

Oura, S., Matsukawa, T. & Suzuki, E., Oct 10 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8489668. (Proceedings of the International Joint Conference on Neural Networks; vol. 2018-July).

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

Experiments
Defects
Deep neural networks

One-class selective transfer machine for personalized anomalous facial expression detection

Fujita, H., Matsukawa, T. & Suzuki, E., Jan 1 2018, VISAPP. Braz, J., Imai, F. & Tremeau, A. (eds.). SciTePress, Vol. 5. p. 274-283 10 p.

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

Classifiers
Experiments
1 Citation (Scopus)

Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification

Zhao, K., Matsukawa, T. & Suzuki, E., Nov 26 2018, 2018 24th International Conference on Pattern Recognition, ICPR 2018. Institute of Electrical and Electronics Engineers Inc., p. 860-867 8 p. 8545535. (Proceedings - International Conference on Pattern Recognition; vol. 2018-August).

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

Image classification
Deep neural networks
Experiments