Kernels by Point Processes
Konstantinos Florakis
This talk explores kernel generation via point process theory along two perspectives: treating the point process as a graph and considering point processes as graph vertices. The underlying mathematical framework is discussed, key theoretical developments are highlighted, and results demonstrating the effectiveness of these approaches are presented. Connections to graph-based learning and potential applications are also outlined.