While in a continuous function graph, the points are connected with an unbroken line. Discrete data contains distinct or separate values. Continuous data includes any value within the preferred range.

This course provides an introduction to discrete mathematics, particularly graph theory. Emphasis will be placed on the algorithmic aspects of the area. Topics to be covered include: Brief ...

Graph-based clustering is one of the major clustering methods. Most of it works in three separate steps: 1) similarity graph construction; 2) clustering label relaxing; and 3) label discretization ...

Now to optimize ## This is essentially an EM (expectation maximization) algorithm. ## First, (create and) optimize the continuous graph for the current discrete values ## Then, set the discrete values ...

We have designed a new face graph model, using the discrete wavelet transform, for fast elastic bunch graph matching. With fiducial points as graph nodes, and local-area power spectrum vectors ...

This course provides an introduction to discrete mathematics, particularly graph theory. Emphasis will be placed on the algorithmic aspects of the area. Topics to be covered include: Brief ...