Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
We present a unified framework for modeling and solving invariant point pattern matching problems. Invariant features are encoded as potentials in a probabilistic graphical model....
Abstract-- We consider a wireless sensor network consisting of a set of sensors deployed randomly. A point in the monitored area is covered if it is within the sensing range of a s...
Shuhui Yang, Fei Dai, Mihaela Cardei, Jie Wu, Floy...
In this paper, we develop heuristics for finding good starting points when solving large-scale nonlinear constrained optimization problems (COPs). We focus on nonlinear programmi...
It is well known that the extensive use of preprocessors can lead to serious maintenance problems. However, these tools are still heavily used by developers and maintainers to imp...