Qi Qian

Title: The Innovations of Qi Qian

Introduction

Qi Qian is an accomplished inventor based in Princeton, NJ (US). He has made significant contributions to the field of distance metric learning, particularly in the context of fine-grained visual categorization. His innovative approach has led to the development of methods and systems that enhance the efficiency of distance metric learning.

Latest Patents

Qi Qian holds a patent titled "Efficient distance metric learning for fine-grained visual categorization." This patent involves generating two random projection matrices of a dataset from a d-dimensional space into an m-dimensional sub-space, where m is smaller than d. An optimization problem is solved in the m-dimensional subspace to learn a distance metric based on the random projection matrices. The distance metric is then recovered in the d-dimensional space. He has 1 patent to his name.

Career Highlights

Qi Qian is currently employed at NEC Corporation, where he continues to push the boundaries of innovation in his field. His work has garnered attention for its practical applications and theoretical advancements.

Collaborations

Some of his notable coworkers include Shenghuo Zhu and Yuanqing Lin, who contribute to the collaborative environment that fosters innovation at NEC Corporation.

Conclusion

Qi Qian's work in distance metric learning exemplifies the impact of innovative thinking in technology. His contributions are paving the way for advancements in visual categorization and beyond.