Global Optimization of Graph Filters with Multiple Shift Matrices

Using graphs to represent data sets that reside on irregular and complex structures can bring special advantages. Graph signal processing (DSP G ) converts traditional DSP operators, such as time shift, linear filters and Fourier transform, from time and frequency domain to the graph domain. In machine learning applications, DSP G null provides an approach for semi-supervised classification. Different from conventional graph-filter-based...