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PhD Seminar • Artificial Intelligence — Gradient-based Filter Design for the Dual-tree Wavelet TransformExport this event to calendar

Tuesday, July 24, 2018 — 2:00 PM EDT

Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science

The wavelet transform has seen success when incorporated into neural network architectures, such as in wavelet scattering networks. More recently, it has been shown that the dual-tree complex wavelet transform can provide better representations than the standard transform. 

With this in mind, we extend our previous method for learning filters for the 1D and 2D wavelet transforms into the dual-tree domain. We show that with few modifications to our original model, we can learn directional filters that leverage the properties of the dual-tree wavelet transform.

Location 
DC - William G. Davis Computer Research Centre
2314
200 University Avenue West

Waterloo, ON N2L 3G1
Canada

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