Beijing, China

Lu Gan

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Beijing Baidu Netcom Science and Technology Co., Ltd.. Active years: 2023.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Lu Gan in Image Clustering Technology

Introduction

Lu Gan is a prominent inventor based in Beijing, China. He has made significant contributions to the field of image processing, particularly through his innovative patent related to image clustering methods. His work has implications for various applications in technology and data management.

Latest Patents

Lu Gan holds a patent for an "Image clustering method and apparatus, and storage medium." This patent describes a method that includes obtaining new images and clustering them to form a first cluster. The process involves determining a historical cluster similar to the first cluster from existing historical clusters. Additionally, it calculates the distance between the first and second clusters and generates a target cluster by fusing the two based on this distance. This method allows for the direct fusion of new and old clusters without the need for secondary clustering processing on existing historical clusters.

Career Highlights

Lu Gan is associated with Beijing Baidu Netcom Science and Technology Co., Ltd., a leading technology company in China. His work at Baidu has allowed him to explore and develop advanced technologies in image processing and artificial intelligence.

Collaborations

Lu Gan has collaborated with notable colleagues, including Yan Fu and Yangjie Zhou, who contribute to the innovative environment at Baidu. Their teamwork fosters creativity and drives advancements in technology.

Conclusion

Lu Gan's contributions to image clustering technology exemplify the innovative spirit of modern inventors. His patent not only enhances the efficiency of image processing but also showcases the potential for future advancements in the field.

Profile summary based on public USPTO records.
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