An irregular tensor is a collection of matrices with different numbers of rows. Real-world data from diverse domains, including medical and stock data, are effectively represented as …
H Yu, D Augustijn, R Bro - Chemometrics and Intelligent Laboratory …, 2021 - Elsevier
PARAFAC2 is a well-established method for specific type of tensor decomposition problems, for example when observations have different lengths or measured profiles slightly change …
JG Jang, U Kang - 2022 IEEE 38th International Conference on …, 2022 - ieeexplore.ieee.org
Given an irregular dense tensor, how can we ef-ficiently analyze it? An irregular tensor is a collection of matrices whose columns have the same size and rows have different sizes from …
Given a temporal irregular tensor with missing values, how can we perform accurate decomposition for the tensor? Many real-world data can be represented as a temporal …
SJ Lee, YC Park, U Kang - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
How can we accurately decompose a temporal irregular tensor along with a related knowledge graph tensor? The PARAFAC2 decomposition is widely used for analyzing …
JG Jang, J Lee, Y Park, U Kang - Proceedings of the 29th ACM SIGKDD …, 2023 - dl.acm.org
How can we efficiently and accurately analyze an irregular tensor in a dual-way streaming setting where the sizes of two dimensions of the tensor increase over time? What types of …
Many real-world data can be represented as tensors including vectors (1-order tensor), matrices (2-order tensor), and higher-order tensors. For example, there are stock data …