Many volume data possess symmetric features that can be clearly observed, for example, those existing in diffusion tensor image data sets. The exploitations of symmetries for volu...
A new class of parallel normalized preconditioned conjugate gradient type methods in conjunction with normalized approximate inverses algorithms, based on normalized approximate f...
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Novel reconfigurable computing architectures exploit the inherent parallelism available in many signalprocessing problems. These architectures often consist of networks of compute...
In recent years, Reversible Logic is becoming more and more prominent technology having its applications in Low Power CMOS, Quantum Computing, Nanotechnology, and Optical Computin...
H. G. Rangaraju, U. Venugopal, K. N. Muralidhara, ...