We propose a variational Bayes solution to integrate out the model parameters in a generative i-vector speaker recognizer. The existing state-of-the-art in generative i-vector modelling plugs in fixed maximum-likelihood point-estimates of model parameters. This recipe may suffer from over-fitting of especially the between-speaker covariance. We show how to integrate out the between-speaker cova...

We accelerate a double precision sparse matrix and DD vector multiplication (DD-SpMV), and its transposition and DD vector multiplication (DD-TSpMV) by using SIMD AVX2 for Krylov subspace methods. We compare some storage formats of DD-SpMV and DDTSpMV for AVX2 to eliminate performance degradation factors in CRS. Our experience indicates that BCRS4x1, with fitting block size to the SIMD register...

Cryo-electron microscopy (cryo-EM) has been widely used to explore conformational states of large biomolecular assemblies. The detailed interpretation of cryo-EM data requires the flexible fitting of a known high-resolution protein structure into a low-resolution cryo-EM map. To this end, we have developed what we believe is a new method based on a two-bead-per-residue protein representation, a...