Analysis of the IJCNN 2011 UTL challenge

We organized a challenge in “Unsupervised and Transfer Learning”: the UTL challenge (http://clopinet.com/ul). We made available large datasets from various application domains: handwriting recognition, image recognition, video processing, text processing, and ecology. The goal was to learn data repr...

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Veröffentlicht in:	Neural networks 2012-08, Vol.32, p.174-178
Hauptverfasser:	Guyon, Isabelle, Dror, Gideon, Lemaire, Vincent, Silver, Daniel L., Taylor, Graham, Aha, David W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Challenge Competition Databases, Factual Ecology Handwriting Image Processing, Computer-Assisted Kernel learning Machine learning Metric learning Neural Networks (Computer) Pattern Recognition, Automated Principal Component Analysis Reproducibility of Results Transfer learning Unlabeled data Unsupervised learning Word Processing
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