Multiplicative update rules for Multilinear Support Tensor Machines
Conference paper
Kotsia, I. and Patras, I. 2010. Multiplicative update rules for Multilinear Support Tensor Machines. 20th International Conference on Pattern Recognition (ICPR 2010). Istanbul, Turkey 23 - 26 Aug 2010
Type | Conference paper |
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Title | Multiplicative update rules for Multilinear Support Tensor Machines |
Authors | Kotsia, I. and Patras, I. |
Abstract | In this paper, we formulate the Multilinear Support Tensor Machines (MSTMs) problem in a similar to the Non-negative Matrix Factorization (NMF) algorithm way. A novel set of simple and robust multiplicative update rules are proposed in order to find the multilinear classifier. Updates rules are provided for both hard and soft margin MSTMs and the existence of a bias term is also investigated. We present results on standard gait and action datasets and report faster convergence of equivalent classification performance in comparison to standard MSTMs. |
Research Group | Research Group on Development of Intelligent Environments |
Conference | 20th International Conference on Pattern Recognition (ICPR 2010) |
Publication process dates | |
Deposited | 03 Dec 2012 |
Output status | Published |
Web address (URL) | http://www.icpr2010.org/index.php |
Language | English |
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