Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach

Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage, Andrzej Cichocki. Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. In John Shawe-Taylor, Richard S. Zemel, Peter L. Bartlett, Fernando C. N. Pereira, Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain. pages 1269-1277, 2011. [doi]

@inproceedings{ZhaoCMZBSC11,
  title = {Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach},
  author = {Qibin Zhao and Cesar F. Caiafa and Danilo P. Mandic and Liqing Zhang and Tonio Ball and Andreas Schulze-Bonhage and Andrzej Cichocki},
  year = {2011},
  url = {http://books.nips.cc/papers/files/nips24/NIPS2011_0748.pdf},
  researchr = {https://researchr.org/publication/ZhaoCMZBSC11},
  cites = {0},
  citedby = {0},
  pages = {1269-1277},
  booktitle = {Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain},
  editor = {John Shawe-Taylor and Richard S. Zemel and Peter L. Bartlett and Fernando C. N. Pereira and Kilian Q. Weinberger},
}