A4 Article in conference proceedings
Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis (2019)


Wang, X., Zhang, C., Ristaniemi, T., & Cong, F. (2019). Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis. In H. Lu, H. Tang, & Z. Wang (Eds.), ISNN 2019 : Advances in Neural Networks : 16th International Symposium on Neural Networks, Proceedings, Part II (pp. 180-189). Springer International Publishing. doi:10.1007/978-3-030-22808-8_19


JYU authors or editors


Publication details

All authors or editors: Wang, Xiulin; Zhang, Chi; Ristaniemi, Tapani; Cong, Fengyu

Parent publication: ISNN 2019 : Advances in Neural Networks : 16th International Symposium on Neural Networks, Proceedings, Part II

Parent publication editors: Lu, Huchuan; Tang, Huajin; Wang, Zhanshan

ISBN: 978-3-030-22807-1

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

Publication year: 2019

Number in series: 11555

Pages range: 180-189

Number of pages in the book: 615

Publisher: Springer International Publishing

Publication country: Switzerland

Publication language: English

DOI: http://doi.org/10.1007/978-3-030-22808-8_19

Open Access: Publication channel is not openly available

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/64969

Additional information: ISSN 2019 : 16th International Symposium on Neural Networks. Moscow, Russia, July 10–12, 2019.


Free keywords: linked tensor decomposition; hierarchical alternating least squares; canonical polyadic; simultaneous extraction


Contributing organizations

Other organizations:


Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 1


Last updated on 2020-18-10 at 21:46