Signoretto M.,Catholic University of Leuven |
De Lathauwer L.,Group Science |
Suykens J.A.K.,Catholic University of Leuven
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010
In this paper we elaborate on a kernel extension to tensor-based data analysis. The proposed ideas find applications in supervised learning problems where input data have a natural 2∈-way representation, such as images or multivariate time series. Our approach aims at relaxing linearity of standard tensor-based analysis while still exploiting the structural information embodied in the input data. © 2010 Springer-Verlag Berlin Heidelberg.