Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Abstract. Some constraint problems have a combinatorial structure where the constraints allow the sequence of variables to be rotated (necklaces), if not also the domain values to ...
Abstract. The specification and resolution of non-trivial domain constraints has become a well-recognised measure for improving the stability of large software systems. In this pa...
Stephan Herhut, Sven-Bodo Scholz, Robert Bernecky,...
The need for video summarization originates primarily from a viewing time or a bit budget constraint. A shorter version of the original video sequence is desirable in a number of ...
Zhu Li, Guido M. Schuster, Aggelos K. Katsaggelos,...
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...