The importance of leadership capability (LC) and knowledge management (KM) are well recognised in the popular and academic press to achieve competitive advantage. Although organisa...
G. Suri Babu, T. Mohana Rao, Salma Ahmed, K. S. Gu...
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
The interpretation of the EM tomography of microtubules is challenging due to the low SNR and low contrast of the volume data. Therefore, image enhancement is crucial for the subs...
In the last ve years, there has been numerous applications of wavelets and multiresolution analysis in many elds of computer graphics as di erent as geometric modelling, volume vi...
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...