Tokyo, Japan

Hidemasa Maekawa

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 7.6

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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3 patents (USPTO):Explore Patents

Title: Hidemasa Maekawa: Innovator in Predictive Systems

Introduction

Hidemasa Maekawa is a notable inventor based in Tokyo, Japan. He has made significant contributions to the field of predictive systems, holding three patents that showcase his innovative approach to technology. His work focuses on developing systems and methods that enhance information prediction capabilities.

Latest Patents

One of Hidemasa Maekawa's latest patents is a system, method, and program for predicting information. This system includes a learning object storing section that stores objects to be learned, a learning result storing section that stores learning results, and a control section connected to an input section. The control section computes a principal component coefficient vector of a first feature vector of an object to be processed that is designated by the input section. It also computes a principal component coefficient vector of a second feature vector using a principal component basis vector stored in the learning result storing section. Finally, it computes the second feature vector of the object to be processed using the principal component coefficient vector of the second feature vector.

Career Highlights

Hidemasa Maekawa has worked with prominent organizations such as Mizuho Research & Technologies, Ltd. and Mizuho Information & Research Institute, Inc. His experience in these companies has allowed him to refine his skills and contribute to various innovative projects.

Collaborations

Some of Hidemasa Maekawa's notable coworkers include Makiko Suitani and Takeshi Nagata. Their collaboration has likely fostered a creative environment that encourages the development of groundbreaking ideas.

Conclusion

Hidemasa Maekawa is a distinguished inventor whose work in predictive systems has made a significant impact in the field. His patents reflect a deep understanding of technology and innovation, positioning him as a key figure in advancing predictive methodologies.

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