Unsupervised Dimensionality Reduction for Transfer Learning

Blöbaum P, Schulz A, Hammer B (2015)
In: Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed);Louvain-la-Neuve: Ciaco: 507-512.

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Conference Paper | Published | English
Author
Editor
Verleysen, Michel
Abstract
We investigate the suitability of unsupervised dimensionality reduction (DR) for transfer learning in the context of different representations of the source and target domain. Essentially, unsupervised DR establishes a link of source and target domain by representing the data in a common latent space. We consider two settings: a linear DR of source and target data which establishes correspondences of the data and an according transfer, and its combination with a non-linear DR which allows to adapt to more complex data characterised by a global non-linear structure.
Publishing Year
Conference
23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015
Location
Bruges, Belgium
Conference Date
2015-04-22 – 2015-04-24
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Blöbaum P, Schulz A, Hammer B. Unsupervised Dimensionality Reduction for Transfer Learning. In: Verleysen M, ed. Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Louvain-la-Neuve: Ciaco; 2015: 507-512.
Blöbaum, P., Schulz, A., & Hammer, B. (2015). Unsupervised Dimensionality Reduction for Transfer Learning. In M. Verleysen (Ed.), Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 507-512). Louvain-la-Neuve: Ciaco.
Blöbaum, P., Schulz, A., and Hammer, B. (2015). “Unsupervised Dimensionality Reduction for Transfer Learning” in Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ed. M. Verleysen (Louvain-la-Neuve: Ciaco), 507-512.
Blöbaum, P., Schulz, A., & Hammer, B., 2015. Unsupervised Dimensionality Reduction for Transfer Learning. In M. Verleysen, ed. Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Louvain-la-Neuve: Ciaco, pp. 507-512.
P. Blöbaum, A. Schulz, and B. Hammer, “Unsupervised Dimensionality Reduction for Transfer Learning”, Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, M. Verleysen, ed., Louvain-la-Neuve: Ciaco, 2015, pp.507-512.
Blöbaum, P., Schulz, A., Hammer, B.: Unsupervised Dimensionality Reduction for Transfer Learning. In: Verleysen, M. (ed.) Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 507-512. Ciaco, Louvain-la-Neuve (2015).
Blöbaum, Patrick, Schulz, Alexander, and Hammer, Barbara. “Unsupervised Dimensionality Reduction for Transfer Learning”. Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Ed. Michel Verleysen. Louvain-la-Neuve: Ciaco, 2015. 507-512.
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