no code implementations • 16 Jan 2018 • Neil Mallinar, Corbin Rosset
We examine Deep Canonically Correlated LSTMs as a way to learn nonlinear transformations of variable length sequences and embed them into a correlated, fixed dimensional space.
Time Series Time Series Analysis