As we move to developing object-oriented programs, the complexity traditionally found in functions and procedures is moving to the connections among components. Different faults o...
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
The challenge of maximizing the diversity of a collection of points arises in a variety of settings, including the setting of search methods for hard optimization problems. One ver...
Coalescence, meaning the tracker associates more than one trajectories to some targets while loses track for others, is a challenging problem for visual tracking of multiple targe...
Fantasy games, in which players compete to correctly predict realworld outcomes in sports, entertainment, and politics, have grown in popularity and now represent a significant po...