Hamid Krim

Title: The Innovations of Hamid Krim

Introduction

Hamid Krim is a notable inventor based in Raleigh, NC (US). He has made significant contributions to the field of technology, particularly in the areas of neural networks and image processing. With a total of 2 patents, his work reflects a deep understanding of complex systems and algorithms.

Latest Patents

One of his latest patents is the "Volterra neural network and method." This invention provides a Volterra filter network architecture that employs a cascaded implementation and a plurality of kernels. A set of these kernels is configured to execute an n-order filter, wherein the kernels are repeatedly arranged in cascading layers to form a hierarchical structure that approximates a high-order filter. Another significant patent is "Robust subspace recovery via dual sparsity pursuit." This computer-implemented method detects foreground data in an image sequence using a dual sparse model framework. It involves creating an image matrix based on a continuous image sequence and initializing three matrices: a background matrix, a foreground matrix, and a coefficient matrix. The subspace recovery process is performed over multiple iterations, updating the background matrix and minimizing norms of the coefficient and foreground matrices.

Career Highlights

Hamid Krim has worked with prestigious organizations such as North Carolina State University and Siemens Aktiengesellschaft. His experience in these institutions has allowed him to collaborate with other talented professionals and contribute to groundbreaking research and development.

Collaborations

Some of his notable coworkers include Mariappan S Nadar and Xiao Bian. Their collaborative efforts have likely enhanced the quality and impact of their research projects.

Conclusion

Hamid Krim's innovative work in neural networks and image processing showcases his expertise and dedication to advancing technology. His contributions continue to influence the field and inspire future innovations.