Following the entropy method this paper presents general concentration inequalities, which can be applied to combinatorial optimization and empirical processes. The inequalities g...
The well-studied task of learning a linear function with errors is a seemingly hard problem and the basis for several cryptographic schemes. Here we demonstrate additional applicat...
Benny Applebaum, David Cash, Chris Peikert, Amit S...
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...
— a form-preserving 2D z-domain helix transform is proposed for the synthesis of computable practical-BIBO stable 2D recursive filters computed over uniformly-spaced circular inp...
Spherical harmonic decomposition of wavefields is not only an active problem in acoustic signal processing but also a useful tool in a plethora of applications such as 3D beamform...