Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
In this paper we examine the simultaneous solution of a set of image transformations with the goal of creating a globally optimal image mosaic. We examine an alternative parameter...
In this paper we compare the average performance of one class of low-discrepancy quasi-Monte Carlo sequences for global optimization. Weiner measure is assumed as the probability ...
A new algorithm called Enhanced Continuous Tabu Search (ECTS) is proposed for the global optimization of multiminima functions. It results from an adaptation of combinatorial Tabu...
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...