Xiao Bian

Title: Innovations of Inventor Xiao Bian

Introduction

Xiao Bian is an accomplished inventor based in Raleigh, NC (US). He has made significant contributions to the field of technology, particularly in the areas of machine learning and image processing. With a total of 2 patents, his work reflects a commitment to advancing innovative solutions.

Latest Patents

Xiao Bian's latest patents include "Hierarchical Sparse Dictionary Learning (HiSDL) for Heterogeneous High-Dimensional Time Series" and "Robust Subspace Recovery via Dual Sparsity Pursuit." The HiSDL patent describes a system, method, and computer program product for constructing a learned dictionary regularized by an a priori over-complete dictionary. This involves providing at least one a priori over-complete dictionary for regularization, performing sparse coding, and updating the sparse coded dictionary until convergence is achieved. The second patent focuses on detecting foreground data in an image sequence using a dual sparse model framework. This method includes creating an image matrix, initializing background and foreground matrices, and performing a subspace recovery process over multiple iterations.

Career Highlights

Throughout his career, Xiao Bian has worked with notable organizations such as Siemens Aktiengesellschaft and North Carolina State University. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to his success as an inventor.

Collaborations

Xiao Bian has collaborated with talented individuals, including Mariappan S Nadar and Qiu Wang. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Xiao Bian's contributions to innovation through his patents and collaborations highlight his role as a significant figure in the field of technology. His work continues to inspire advancements in machine learning and image processing.