Deep Haar scattering networks
نویسندگان
چکیده
منابع مشابه
Deep Haar Scattering Networks
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 tr...
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The classification of high-dimensional data defined on graphs is particularly difficult when the graph geometry is unknown. We introduce a Haar scattering transform on graphs, which computes invariant signal descriptors. It is implemented with a deep cascade of additions, subtractions and absolute values, which iteratively compute orthogonal Haar wavelet transforms. Multiscale neighborhoods of ...
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ژورنال
عنوان ژورنال: Information and Inference
سال: 2016
ISSN: 2049-8764,2049-8772
DOI: 10.1093/imaiai/iaw007