We present in detail a GCA (Global Cellular Automaton) algorithm with 3n cells for Hirschberg’s algorithm which determines the connected components of a n-node undirected graph w...
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohi...
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
In this paper we give a finer separation of several known paging algorithms. This is accomplished using a new technique that we call relative interval analysis. This technique com...
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...