Supported by the CAS Project for Young Scientists in Basic Research(Grant No.YSBR-034);National Nature Science Foundation of China(Grant Nos.12325110,12201432)。
Combining p-values is a well-known issue in statistical inference. When faced with a study involving m p-values, determining how to effectively combine them to arrive at a comprehensive and reliable conclusion becomes...
supported by the National Key R&D Program of China(Grant Nos.2022YFA1003703,2022YFA 1003800);the National Natural Science Foundation of China(Grant Nos.11925106,12231011,11931001,12226007,12326325);supported by the National Natural Science Foundation of China(Grant No.12301380);supported by the National Key R&D Program of China(Grant Nos.2021YFA1000100,2021YFA1000101,2022YFA1003800);the Natural Science Foundation of Shanghai(Grant No.23ZR1419400)。
We consider the problem of multi-task regression with time-varying low-rank patterns,where the collected data may be contaminated by heavy-tailed distributions and/or outliers.Our approach is based on a piecewise robu...
supported by the National Natural Science Foundation of China(No.62206143);the Key Research and Development and Promotion Special Project in Henan Province(Nos.222102210141 and 232102211015)。
In this study,we present a unified sparsity-driven framework that significantly enhances motion deblurring performance by integrating two key components:a custom-designed dataset and a low-rank module(LRM).This framew...