Search results
2006. Moving object recognition systems, moving object recognition programs, and moving object recognition methods. I Sato, Y Tamatsu, K Goto. US Patent 9,824,586. , 2017. 67. 2017. Method and system for obtaining improved structure of a target neural network. Y Tamatsu, I Sato.
Research and Development Group, Senior Researcher. Image Recognition. Ikuro Sato. PROFILE. Entered company in 2008. after carrying out theoretical physics research at Lawrence Berkeley National Laboratory. I felt this was the place where my mathematical skills could be put to best use.
Ikuro SATO | Cited by 252 | of Denso IT Laboratory, Tokyo | Read 16 publications | Contact Ikuro SATO.
Who is Ikuro Sato? 2005.08. 2005.10~ 2008.03~ 2020.04~ Field of study Ph.D. received from University of Maryland, USA. Postdoc at Lawrence Berkeley National Laboratory, USA. Researcher at Denso IT Laboratory. Specially Appointed Associate Professor at Tokyo Tech. Image Recognition. Machine Learning.
Ikuro Sato. ResearcherID. ORCID. Field of Specialization. Affiliation. School of Computing. Title. Specially Appointed Associate Professor. Areas of Supervision ( indicates primary area )
Aug 30, 2022 · Ikuro Sato Associate Professor, School of Computing, Tokyo Tech / Denso IT Lab "Replacing Human Vision with Machines — In Search of New Designs of Deep Networks"
May 13, 2015 · Ikuro Sato, Hiroki Nishimura, Kensuke Yokoi. Deep neural networks have been exhibiting splendid accuracies in many of visual pattern classification problems. Many of the state-of-the-art methods employ a technique known as data augmentation at the training stage. This paper addresses an issue of decision rule for classifiers trained with ...
