Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2021; 30th International C Igor Farkaš,Paolo Masulli,Stefan Wermter Conference proc

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A. Herbert Fritz,Günter Schulzeriational AutoEncoder (FLVAE), benefiting from multiple non-linear layers without an information bottleneck while not overfitting towards the identity. We show how to learn FLVAE in parallel with Neural EASE and achieve state-of-the-art performance on the MovieLens 20M dataset and competitive results on the Netflix Prize dataset.

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A New Nearest Neighbor Median Shift Clustering for Binary Data neighbor median shift. The median shift is an extension of the well-known mean shift, which was designed for continuous data, to handle binary data. We demonstrate that BinNNMS can discover accurately the location of clusters in binary data with theoretical and experimental analyses.

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162653.jpg

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https://doi.org/10.1007/978-3-030-86383-8artificial intelligence; computer networks; computer science; computer systems; computer vision; data min

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