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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Konferenzbeitrag | Veröffentlicht | Englisch
Autor
Herausgeber
Abstract / Bemerkung
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.
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Seite
507-512
Konferenz
23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015
Konferenzort
Bruges, Belgium
Konferenzdatum
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, Verleysen, M. ed. (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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