Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values
Author:
Affiliation:
1. Seoul National University,Seoul,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020667.pdf?arnumber=10020667
Reference35 articles.
1. SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams
2. TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling
3. A Tensor Decomposition-Based Anomaly Detection Algorithm for Hyperspectral Image
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3. Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04
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