19 citations · 35 across the 6 of their papers we have counts for
5 papers · 1 filter
Visualizing and Improving Scattering Networks
Fergal Cotter, Nick Kingsbury
Scattering Transforms (or ScatterNets) introduced by Mallat are a promising start into creating a well-defined feature extractor to use for pattern recognition and image classifica…
Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet
Amarjot Singh, Nick Kingsbury
We propose a DTCWT ScatterNet Convolutional Neural Network (DTSCNN) formed by replacing the first few layers of a CNN network with a parametric log based DTCWT ScatterNet. The Scat…
ScatterNet Hybrid Deep Learning (SHDL) Network For Object Classification
Amarjot Singh, Nick Kingsbury
The paper proposes the ScatterNet Hybrid Deep Learning (SHDL) network that extracts invariant and discriminative image representations for object recognition. SHDL framework is con…
Multi-Resolution Dual-Tree Wavelet Scattering Network for Signal Classification
Amarjot Singh, Nick Kingsbury
This paper introduces a Deep Scattering network that utilizes Dual-Tree complex wavelets to extract translation invariant representations from an input signal. The computationally…
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification
Amarjot Singh, Nick Kingsbury
We introduce a ScatterNet that uses a parametric log transformation with Dual-Tree complex wavelets to extract translation invariant representations from a multi-resolution image.…