Bilinear generating functions in Kernel sparse modeling and learning: Towards the kernel engineering
Abstract: As the cornerstone of nonlinear kernel learning algorithms, the kernel functions play a major role in sparse modeling via learning from data, as it largely determines the performance of a ...
Abstract: This work proposes a new approach to find the generating function (GF) of the Zernike polynomials in two dimensional form. Combining the methods of GFs and discrete-time systems, we can ...
Department of Computer Science and Engineering, University of California San Diego, La Jolla California 92093, and Bioinformatics Program, University of California San Diego, La Jolla California 92093 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback