• 42 Citations
  • 4 h-Index
19992019
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Fingerprint Dive into the research topics where Manabu Kobayashi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Decoding Engineering & Materials Science
Carbon nanotube field effect transistors Engineering & Materials Science
Logic circuits Engineering & Materials Science
Block codes Engineering & Materials Science
Failure analysis Engineering & Materials Science
Circuit Design Mathematics
Maximum likelihood Engineering & Materials Science
Maximum Likelihood Mathematics

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Research Output 1999 2019

  • 42 Citations
  • 4 h-Index
  • 21 Conference contribution
  • 18 Article
  • 1 Chapter

Distributed Stochastic Gradient Descent Using LDGM Codes

Horii, S., Yoshida, T., Kobayashi, M. & Matsushima, T., 2019 Jul, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1417-1421 5 p. 8849580. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

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

Stochastic Gradient
Gradient Descent
Generator
Gradient
Learning algorithms

Exponential Error Bounds and Decoding Complexity for Block Codes Constructed by Unit Memory Trellis Codes of Branch Length Two

Hirasawa, S., Yagi, H., Kobayashi, M. & Kasahara, M., 2019 Apr 16, 2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019. Institute of Electrical and Electronics Engineers Inc., 8692938. (2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019).

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

Trellis codes
Block codes
Decoding
Data storage equipment

Collaborative filtering based on the latent class model for attributes

Kobayashi, M., Mikawa, K., Goto, M., Matsushima, T. & Hirasawa, S., 2018 Jan 16, Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 893-896 4 p.

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

Collaborative filtering
Marketing
Statistical Models

Distance metric learning using each category centroid with nuclear norm regularization

Mikawa, K., Kobayashi, M., Goto, M. & Hirasawa, S., 2018 Feb 2, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-5 5 p.

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

Distance Metric
Centroid
Regularization
Norm
Pattern recognition
Multicomputers
Fault Diagnosis
Failure analysis
Unit
Error Probability