The multiplication of a variable by multiple constants, i.e., the multiple constant multiplications (MCM), has been a central operation and performance bottleneck in many applicat...
In this paper, we focus on the use of random projections as a dimensionality reduction tool for sampled manifolds in highdimensional Euclidean spaces. We show that geodesic paths ...
Abstract. We evaluate the performance of FPT algorithms for the directed feedback vertex set problem (DFVS). We propose several new data reduction rules for DFVS. which can signiļ¬...
Ordinarily, RSA and Rabin ciphertexts and signatures are log N bits, where N is a composite modulus; here, we describe how to ācompressā Rabin ciphertexts and signatures (among...
Abstract. In this paper, some new approaches to training set size reduction are presented. These schemes basically consist of deļ¬ning a small number of prototypes that represent ...