We propose a new framework for discussing computational complexity of problems involving uncountably many objects, such as real numbers, sets and functions, that can be represente...
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Networks continue to change to support new applications, improve reliability and performance and reduce the operational cost. The changes are made to the network in the form of up...
Ajay Anil Mahimkar, Han Hee Song, Zihui Ge, Aman S...
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
The rise of multi-core processors has shifted performance efforts towards parallel programs. However, single-threaded code, whether from legacy programs or ones difficult to para...