This paper presents a new fading model for MIMO channels, the Jacobi fading model. It asserts that $H$, the transfer matrix which couples the $m_t$ i…

Recently there has been a dramatic increase in the performance of recognition systems due to the introduction of deep architectures for representatio…

Quantitative modeling of the spectro-spatial distributions of energetic electrons and protons in galactic halos is needed in order to determine their…

We show that if $G$ is a graph on $n$ vertices, with all degrees comparable to some $d = d(n)$, and without a sparse cut, for a suitably chosen notio…

In this note we describe hadrons: mesons and baryons as strings with electric charges on their endpoints. We consider here only the neutral system wi…

Light field photography has been studied thoroughly in recent years. One of its drawbacks is the need for multilens in the imaging. To compensate tha…

Solving inverse problems with iterative algorithms is popular, especially for large data. Due to time constraints, the number of possible iterations …

Principal components analysis (PCA) is a fundamental algorithm in data analysis. Its online version is useful in many modern applications where the d…

The idea that signals reside in a union of low dimensional subspaces subsumes many low dimensional models that have been used extensively in the rece…

Inverse problems appear in many applications such as image deblurring and inpainting. The common approach to address them is to design a specific alg…

We prove that the discrete harmonic function corresponding to smooth Dirichlet boundary conditions on orthodiagonal maps, that is, plane graphs havin…

Radio Galaxies have by now emerged as a new $\gamma$-ray emitting source class on the extragalactic sky. Given their remarkable observed characterist…

Optimization problem with quadratic equality constraints are prevalent in machine learning. Indeed, two important examples are Canonical Correlation …

We propose a new parton model and demonstrate that the model describes the relevant experimental data at high energies. The model is based on Pomeron…

The loop $O(n)$ model is a model for a random collection of non-intersecting loops on the hexagonal lattice, which is believed to be in the same univ…

We present a novel approach to 3D object reconstruction from its 2D projections. Our unique, GAN-inspired system employs a novel $C^\infty$ smooth di…

We consider the problem of predicting several response variables using the same set of explanatory variables. This setting naturally induces a group …

An approach for combining monocular depth cues and stereo disparity information is proposed. It allows avoiding the need for a costly and sensitive calibration process, and also to improve the overall depth estimation results. While the system is tr…

Passive depth estimation is among the most long-studied fields in computer vision. The most common methods for passive depth estimation are either a …

The single image super-resolution task is one of the most examined inverse problems in the past decade. In the recent years, Deep Neural Networks (DN…

In this section we present our algorithms and illustrate the main ideas of our upper and lower bounds. The complete versions of the proofs are deferred to Appendices C, B and A.

We consider the problem of learning in Linear Quadratic Control systems whose transition parameters are initially unknown. Recent results in this set…

By signing up you accept our content policy

Already have an account? Sign in

No a member yet? Create an account