Traffic Volume Data Outlier Recovery via Tensor Model

High-order Tensor Completion for Data Recovery via Sparse Tensor-train Optimization

In this paper, we aim at the problem of tensor data completion. Tensor-train decomposition is adopted because of its powerful representation ability and linear scalability to tensor order. We propose an algorithm named Sparse Tensortrain Optimization (STTO) which considers incomplete data as sparse tensor and uses first-order optimization method to find the factors of tensor-train decomposition...

Finding Outlier DMUs in Data Envelopment Analysis

Estimating Missing Traffic Volume Using Low Multilinear Rank Tensor Completion

Multiscale Tensor Approximation for Volume Data

Advanced 3D microstructural analysis in natural sciences and engineering depends ever more on modern data acquisition and imaging technologies such as micro-computed or synchrotron tomography and interactive visualization. The acquired high-resolution volume data sets have sizes in the order of tens to hundreds of GBs, and typically exhibit spatially complex internal structures. Such large stru...

Interactive Volume Rendering of Diffusion Tensor Data