2 papers
cs.DC2020
a-Tucker: Input-Adaptive and Matricization-Free Tucker Decomposition for Dense Tensors on CPUs and GPUs
Min Li, Chuanfu Xiao, Chao Yang
Tucker decomposition is one of the most popular models for analyzing and compressing large-scale tensorial data. Existing Tucker decomposition algorithms usually rely on a single s…
cs.LG2020
Gated Res2Net for Multivariate Time Series Analysis
Chao Yang, Mingxing Jiang, Zhongwen Guo +1
Multivariate time series analysis is an important problem in data mining because of its widespread applications. With the increase of time series data available for training, imple…