1 citations · 2 across the 2 of their papers we have counts for
6 papers
Duality in Multi-View Restricted Kernel Machines
Sonny Achten, Arun Pandey, Hannes De Meulemeester +2
We propose a unifying setting that combines existing restricted kernel machine methods into a single primal-dual multi-view framework for kernel principal component analysis in bot…
Multi-view Kernel PCA for Time series Forecasting
Arun Pandey, Hannes De Meulemeester, Bart De Moor +1
In this paper, we propose a kernel principal component analysis model for multi-variate time series forecasting, where the training and prediction schemes are derived from the mult…
The Bures Metric for Generative Adversarial Networks
Hannes De Meulemeester, Joachim Schreurs, Michaël Fanuel +2
Generative Adversarial Networks (GANs) are performant generative methods yielding high-quality samples. However, under certain circumstances, the training of GANs can lead to mode…
Applicability and interpretation of the deterministic weighted cepstral distance
Oliver Lauwers, Bart De Moor
Quantifying similarity between data objects is an important part of modern data science. Deciding what similarity measure to use is very application dependent. In this paper, we co…
A Multiple-Input Multiple-Output Cepstrum
Oliver Lauwers, Oscar Mauricio Agudelo, Bart De Moor
This paper extends the concept of scalar cepstrum coefficients from single-input single-output linear time invariant dynamical systems to multiple-input multiple-output models, mak…
A time series distance measure for efficient clustering of input output signals by their underlying dynamics
Oliver Lauwers, Bart De Moor
Starting from a dataset with input/output time series generated by multiple deterministic linear dynamical systems, this paper tackles the problem of automatically clustering these…