Kuansan Wang

Title: Innovations by Kuansan Wang in Model Size Reduction

Introduction

Kuansan Wang is an accomplished inventor based in Brewster, NY (US). He has made significant contributions to the field of pattern recognition through his innovative methods and apparatus for model size reduction. With a total of 2 patents, his work focuses on enhancing the efficiency of model generation for various applications.

Latest Patents

Wang's latest patents include methods and apparatus for decreasing the size of generated models. These innovations describe techniques for producing efficiently sized models suitable for pattern recognition purposes. Various embodiments are directed to the automated generation, evaluation, and selection of reduced size models from an initial model that may have a large number of components. To achieve model size reduction in an automated iterative manner, Wang combines expectation maximization (EM) model training techniques with model size constraints. In one embodiment, a new reduced size model is generated using a LaGrange multiplier from an input model and input size constraints during each iteration of the size-reducing model training process.

Another notable patent focuses on methods and apparatus for decreasing the size of pattern recognition models. This patent also emphasizes the automated generation and evaluation of reduced size models. A plurality of reduced size models are generated using a LaGrange multiplier from an input model and input size constraints. The models are stored in a buffer and scored using a likelihood scoring technique, allowing for the selection of the highest-scoring reduced size model for output or future iterations.

Career Highlights

Kuansan Wang is currently associated with Nynex Science & Technology, Inc., where he continues to develop innovative solutions in the field of model size reduction. His work has been instrumental in advancing the capabilities of pattern recognition technologies.

Collaborations

[This section has been skipped due to space constraints.]

Conclusion

Kuansan Wang's contributions to the field of model size reduction have paved the way for more efficient pattern recognition systems. His innovative patents reflect a deep understanding of the complexities involved in model generation and evaluation.