Binary signal detection theory graphs - Binary Classification on String-Trace Graphs feature
Sub-Graph Detection Theory Jeremy Kepner, DETECTION OF SIGNAL IN NOISE DETECTION OF SUBGRAPHS IN GRAPHS NOISE SIGNAL • Foreground binary tree N
Matched signal detection on graphs: Theory and application to brain imaging data Fig. 1 gives an example of a same graph-signal on two different binary graphs.
Detection theory on random graphs. Casting the problem in the context of traditional signal detection theory, our objective is to resolve the binary hypothesis
raph is incorporatedin the observed signal. To begin with, we formulate a binary hypothesis testing problem different graphs. Detection theory for graphs has
Introduction to Signal Detection and Classification we plot the graphs as a function of the Some Theory (1)
JANUARY 2004 IEEE SIGNAL PROCESSING MAGAZINE 29 circuit diagrams, signal flow graphs, The origins of factor graphs lie in coding theory,