Company Filing History:
Years Active: 2022-2023
Title: Takamichi Koide: Innovator in Feature Identification Technology
Introduction
Takamichi Koide is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of feature identification technology, holding a total of 2 patents. His work focuses on developing advanced methods and devices that enhance the recognition of features in various types of data.
Latest Patents
Koide's latest patents include a feature identification device and method, as well as a computer-readable medium. The feature identification device employs a similarity calculation unit that treats multiple classifications as target classifications. It calculates the similarity between a reference feature value, extracted from image data, and a recognition feature value from recognition target data. Additionally, an influence calculation unit assesses the impact of each partial image on the similarity, while a feature identification unit adjusts the recognition feature value based on this influence. His second patent, the entry field extraction device, utilizes a learning unit to develop a model from images of various documents. This model helps in extracting feature fields and entry fields from document samples, streamlining the process of data recognition.
Career Highlights
Takamichi Koide is associated with Mitsubishi Electric Corporation, where he continues to innovate and contribute to the field of technology. His work has been instrumental in advancing the capabilities of feature identification systems, making them more efficient and effective.
Collaborations
Koide has collaborated with notable coworkers, including Eri Kataoka and Mitsuhiro Matsumoto. Their combined expertise has fostered a collaborative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Takamichi Koide's contributions to feature identification technology exemplify his dedication to innovation. His patents reflect a deep understanding of the complexities involved in data recognition, positioning him as a key figure in this field.
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