most citedA probabilistic framework for multi-view feature learning with many-to-many associations via neural networks

5 citations · 5 across the 1 of their papers we have counts for

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stat.ML2018★ 5 cited

A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks

Akifumi Okuno, Tetsuya Hada, Hidetoshi Shimodaira

A simple framework Probabilistic Multi-view Graph Embedding (PMvGE) is proposed for multi-view feature learning with many-to-many associations so that it generalizes various existi…