Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Solovay showed that there are noncomputable reals such that H( n) H(1n) + O(1), where H is prefix-free Kolmogorov complexity. Such H-trivial reals are interesting due to the conn...
Rodney G. Downey, Denis R. Hirschfeldt, Andr&eacut...
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
Recent works on modeling the Internet topology [8, 9] have highlighted how the complexity of relationships between Autonomous Systems (ASes) can not be oversimplified without sac...
Andrea Di Menna, Tiziana Refice, Luca Cittadini, G...