Generative Models from Scattering Convolutional Networks

Generative Models from Scattering Convolutional Networks

Neyman Seminar
Jan 20, 2016, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Joan Bruna, UC Berkeley
Scattering representations are a class of Deep Convolutional Networks where the convolutional filter banks are given by complex, multiresolution wavelet families. As a result of this extra structure, they are provably stable and locally invariant signal representations, and yield state-of-the-art classification results on several pattern and texture recognition problems where training examples...