Peibin Chen

Title: Peibin Chen: Innovator in Image Identification Technology

Introduction

Peibin Chen is a notable inventor based in Beijing, China. He has made significant contributions to the field of image identification technology, holding three patents that showcase his innovative approach to solving complex problems in this domain.

Latest Patents

Peibin Chen's latest patents include a "Training method and device for image identifying model" and an "Image identifying method." The training method involves obtaining image samples from various categories and inputting them into a feature extraction layer of the image identifying model. This process extracts feature vectors for each image sample, calculates statistical characteristics of the actual distribution function for each category, and establishes an augmented distribution function. The method ultimately allows for supervised learning by inputting both feature vectors and augmented sample features into the classification layer. Additionally, he has developed a "Method and device for evaluating the effect of classifying fuzzy attributes." This method generates a similarity-based ranked confusion matrix to evaluate the classification of fuzzy attributes, which are attributes with blurred boundaries between categories.

Career Highlights

Peibin Chen is currently employed at Lemon Inc., where he continues to push the boundaries of technology in image identification. His work has garnered attention for its innovative methodologies and practical applications in various industries.

Collaborations

Peibin collaborates with talented individuals such as Jingna Sun and Weihong Zeng, contributing to a dynamic and innovative work environment.

Conclusion

Peibin Chen's contributions to image identification technology through his patents and collaborative efforts highlight his role as a leading inventor in this field. His innovative methods are paving the way for advancements in how machines understand and classify images.