A robust stochastic model updating method with resampling processing
Sign Up to like & getrecommendations! Published in 2020 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.106494
Abstract: Abstract A robust stochastic model updating framework is developed for a better estimation of uncertain properties of parameters. In this framework, in order to improve the robustness, a resampling process is primarily designed for dealing… read more here.
Keywords: processing robust; robust stochastic; stochastic model; model updating ... See more keywords
Robust Bi-stochastic Graph Regularized Matrix Factorization for Data Clustering.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2020.3007673
Abstract: Data clustering, which is to partition the given data into different groups, has attracted much attention. Recently various effective algorithms have been developed to tackle the task. Among these methods, non-negative matrix factorization (NMF) has… read more here.
Keywords: graph regularized; robust stochastic; factorization; data clustering ... See more keywords