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- Marco Signoretto, Dinh Quoc Tran, Lieven De Lathauwer, Johan A. K. Suykens
- Machine Learning
- 2013

We present a framework based on convex optimization and spectral regularization to perform learning when feature observations are multidimensional arrays (tensors). We give a mathematicalâ€¦ (More)

- Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
- Neural Networks
- 2011

Tensor-based techniques for learning allow one to exploit the structure of carefully chosen representations of data. This is a desirable feature in particular when the number of training patterns isâ€¦ (More)

- Marco Signoretto, Raf Van de Plas, Bart De Moor, Johan A. K. Suykens
- IEEE Signal Processing Letters
- 2011

Tensor completion recently emerged as a generalization of matrix completion for higher order arrays. This problem formulation allows one to exploit the structure of data that intrinsically haveâ€¦ (More)

We present a general framework to learn functions in tensor product reproducing kernel Hilbert spaces (TP-RKHSs). The methodology is based on a novel representer theorem suitable for existing as wellâ€¦ (More)

- Andreas Argyriou, Marco Signoretto, Johan A. K. Suykens
- ArXiv
- 2014

Conditional gradient methods are old and well studied optimization algorithms. Their origin dates at least to the 50â€™s and the Frank-Wolfe algorithm for quadratic programming [18] but they apply toâ€¦ (More)

We present an algorithm to solve a structured low rank matrix optimization problem based on the nuclear norm. We represent the desired structure by a linear map, termed mutation, that we characterizeâ€¦ (More)

- BorbÃ¡la Hunyadi, Marco Signoretto, Wim Van Paesschen, Johan A. K. Suykens, Sabine Van Huffel, Maarten De Vos
- Clinical neurophysiology : official journal ofâ€¦
- 2012

OBJECTIVE
A novel patient-specific seizure detection algorithm is presented. As the spatial distribution of the ictal pattern is characteristic for a patient's seizures, this work incorporates suchâ€¦ (More)

- Jose Manuel Gil-Cacho, Marco Signoretto, Toon van Waterschoot, Marc Moonen, SÃ¸ren Holdt Jensen
- IEEE Transactions on Audio, Speech, and Languageâ€¦
- 2013

Acoustic echo cancellation (AEC) is used in speech communication systems where the existence of echoes degrades the speech intelligibility. Standard approaches to AEC rely on the assumption that theâ€¦ (More)

- Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens
- IEEE Transactions on Signal Processing
- 2012

We consider the problem of training a discriminative classifier given a set of labelled multivariate time series (a.k.a. multichannel signals or vector processes). We propose a novel kernel functionâ€¦ (More)

- Anneleen Daemen, Marco Signoretto, Olivier Gevaert, Johan A. K. Suykens, Bart De Moor
- PloS one
- 2010

In the past, microarray studies have been criticized due to noise and the limited overlap between gene signatures. Prior biological knowledge should therefore be incorporated as side information inâ€¦ (More)