Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
We present a fast and accurate framework for registration of multi-modal volumetric images based on decoupled estimation of registration parameters utilizing spatial information i...
Parastoo Sadeghi, Ramtin Shams, Richard I. Hartley...
We propose two practical approaches for on-chip inductance extraction to obtain a highly sparsified and accurate inverse inductance matrix K. Both approaches differ from previous ...
Background: The nucleotide substitution rate matrix is a key parameter of molecular evolution. Several methods for inferring this parameter have been proposed, with different math...
Maribeth Oscamou, Daniel McDonald, Von Bing Yap, G...
Background: Residue depth allows determining how deeply a given residue is buried, in contrast to the solvent accessibility that differentiates between buried and solvent-exposed ...
Hua Zhang, Tuo Zhang, Ke Chen 0003, Shiyi Shen, Ji...