By Marcel A. J. van Gerven, Eric Maris (auth.), Timo Honkela, Włodzisław Duch, Mark Girolami, Samuel Kaski (eds.)
This quantity set (LNCS 6791 and LNCS 6792) constitutes the refereed court cases of the 21th foreign convention on man made Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised complete or poster papers provided have been conscientiously reviewed and chosen from quite a few submissions. ICANN 2011 had easy tracks: brain-inspired computing and laptop studying examine, with powerful cross-disciplinary interactions and applications.
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Additional info for Artificial Neural Networks and Machine Learning – ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II
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B) Samples from the model: In each block the left column shows v F (appearance), the middle column shows m (shape) and the right column shows the joint sample where shape and appearance have been combined (red indicates the invisible part of the sample). (c) Test images with inferred masks m superimposed in semi-transparent red. The model largely identiﬁes the foreground objects correctly, but struggles sometimes, especially if the background is poorly explained under the background model. converges for a particular training image during learning over 1000 epochs.