2016
Random projections through multiple optical scattering: Approximating Kernels at the speed of light
ICASSP 2016accepted
Random projections have proven extremely useful in many signal processing and machine learning applications. However, they often require either to store a very large random matrix, or to use a different, structured matrix to reduce the computational and memory costs. Here, we overcome this difficult…