Abstract— In the context of a design space exploration framework for supporting the platform-based design approach, we address the problem of robustness with respect to manufactu...
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Our mutation based validation paradigm (MVP) is a validation environment for high-level microprocessor implementations. To be able to efficiently identify and analyze the architec...
This paper introduces a general and axiomatic approach to linear signal processing (SP) that we refer to as the algebraic signal processing theory (ASP). Basic to ASP is the linear...