Summaries from International Conference on Artificial Neural Networks (ICANN) on ShortScience.org

International Conference on Artificial Neural Networks (ICANN)

The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). They aim to bring together researchers from two worlds: Information Sciences and Neurosciences

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Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
Masci, Jonathan and Meier, Ueli and Ciresan, Dan C. and Schmidhuber, Jürgen
International Conference on Artificial Neural Networks (ICANN) - 2011 via Local Bibsonomy
Keywords: dblp

[link] Summary by Léo Paillier 6 years ago

_Objective:_ Introduces the Convolutional Auto-Encoder, a hierarchical unsupervised feature extractor.

_Dataset:_ [MNIST](yann.lecun.com/exdb/mnist/) and [SVHN](ufldl.stanford.edu/housenumbers/).

#### Architecture:

Uses convolutions to generate an encoding of the image and then decodes it and do a pixel-wise comparison.  
Used to initializes CNN.

#### Results:

Old article, not really relevant nowadays. They don't speak about the deconvolution part.