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Makoto Terao

USPTO Granted Patents = 13 (Patent Applications = 16)

Average Co-Inventor Count = 1.9

ph-index = 3

Forward Citations = 20(Granted Patents)

Location History:

Minato-ku, JP (2012)
Tokyo, JP (2012 - 2024)

Company Filing History:

University of Washington

patents

where one patent can have more than one assignee

Years Active: 2012-2025

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13 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12450521 - Learning device, learning method, and storage medium for learning device (2025-10-21),

2. 12169955 - Generating learning data from important, cut-out object regions (2024-12-17),

3. 12073608 - Learning device, learning method and recording medium (2024-08-27),

4. 11908177 - Updated learning of feature extraction model that extracts moving image feature amount from moving image data and still image feature amount from still image data (2024-02-20),

5. 11580784 - Model learning device, model learning method, and recording medium (2023-02-14),

6. 10083686 - Analysis object determination device, analysis object determination method and computer-readable medium (2018-09-25),

7. 9875236 - Analysis object determination device and analysis object determination method (2018-01-23),

8. 9336769 - Relative semantic confidence measure for error detection in ASR (2016-05-10),

9. 9053751 - Sound and image segment sorting device and method (2015-06-09),

10. 8422787 - Apparatus, method and program for text segmentation (2013-04-16),

11. 8175868 - Voice judging system, voice judging method and program for voice judgment (2012-05-08),

12. 8155958 - Speech-to-text system, speech-to-text method, and speech-to-text program (2012-04-10),

13. 8140530 - Similarity calculation device and information search device (2012-03-20),

Title: The Innovations of Makoto Terao

Introduction

Makoto Terao is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of learning devices and methods, holding a total of 13 patents. His work focuses on enhancing the efficiency and effectiveness of learning technologies.

Latest Patents

Among his latest patents is a learning device that features a recognition loss calculation unit. This unit calculates recognition loss using a recognition result from a learning data set, which consists of recognition object data and weak labels. The device includes a difference calculation unit that computes the difference between a mixing matrix and the recognition result, as well as a sum of squares calculation unit that determines the recognition loss by summing the squares of the differences. Another notable patent involves generating learning data from important, cut-out object regions. This process includes acquiring multiple images, cutting out object regions, and generating importance information for each region, which is crucial for developing an object inference model.

Career Highlights

Makoto Terao has worked with notable organizations such as NEC Corporation and the University of Washington. His experience in these institutions has allowed him to collaborate on various innovative projects that push the boundaries of learning technology.

Collaborations

Throughout his career, Terao has collaborated with talented individuals, including Yoshifumi Onishi and Takafumi Koshinaka. These partnerships have contributed to the advancement of his research and inventions.

Conclusion

Makoto Terao's contributions to the field of learning devices and methods demonstrate his innovative spirit and dedication to improving educational technologies. His patents reflect a deep understanding of the complexities involved in learning processes, making him a significant figure in the realm of invention.

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