SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling

ICML 2017 • Jun-Ichiro Hirayama • Aapo Hyvärinen • Motoaki Kawanabe

We present a novel probabilistic framework for a hierarchical extension of independent component analysis (ICA), with a particular motivation in neuroscientific data analysis and modeling. The framework incorporates a general subspace pooling with linear ICA-like layers stacked recursively... (read more)

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