Name
Abstract | ||
|---|---|---|
An orthogonal Haar scattering transform is a deep network computed with a hierarchy of additions, subtractions and absolute values over pairs of coefficients. Unsupervised learning optimizes Haar pairs to obtain sparse representations of training data with an algorithm of polynomial complexity. For signals defined on a graph, a Haar scattering is computed by cascading orthogonal Haar wavelet trans... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1093/imaiai/iaw007 | Information and Inference: A Journal of the IMA |
Keywords | Field | DocType |
deep learning,neural network,scattering transform,Haar wavelet,classification,images,graphs | Discrete mathematics,Haar,Absolute value,Algorithm,Unsupervised learning,Invariant (mathematics),Scattering,Haar wavelet,Connectivity,Mathematics,Wavelet | Journal |
Volume | Issue | ISSN |
5 | 2 | 2049-8764 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiuyuan Cheng | 1 | 38 | 11.88 |
| Xu Chen | 2 | 30 | 5.73 |
| Stéphane Mallat | 3 | 4107 | 718.30 |