Hatim F. Alqadah

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We propose a novel collaborative filtering method for top- $$n$$ n recommendation task using bicustering neighborhood approach. Our method takes advantage of local biclustering structure for a more precise and localized collaborative filtering. Using several important properties from the field of Formal Concept Analysis, we build user-specific biclusters(More)
The linear sampling method (LSM) offers a qualitative image reconstruction approach, which is known as a viable alternative for obstacle support identification to the well-studied filtered backprojection (FBP), which depends on a linearized forward scattering model. Of practical interest is the imaging of obstacles from sparse aperture far-field data under(More)
The linear sampling method is a qualitative inverse scattering technique that does not rely on any geometric priors and is more immune to model mismatches than non-linear optimization techniques. Unfortunately it is prone to instability especially with under-sampled aperture data. This paper presents a multi-frequency LSM reconstruction method that aims to(More)
This paper investigates the use of a qualitative inverse scattering method known as the linear sampling method (LSM) for imaging underwater scenes using limited aperture receiver configurations. The LSM is based on solving a set of unstable integral equations known as the far-field equations and whose stability breaks down even further for under-sampled(More)
We consider the problem of back-projecting measured electromagnetic fields within the near-field vicinity of a radiating surface. We approach this challenging ill-posed problem by employing an equivalent source method (ESM) using elementary dipole sources to represent the measured fields. We consider a sparse regularization method for the stabilization of(More)
Recent research concerning qualitative inverse scattering approaches, and in particular the Linear Sampling Method (LSM), has revealed an interesting connection to interior Eigenmodes of scatterer(s) embedded in a known background. These modes have some desirable properties that are amenable for automatic target recognition (ATR) applications; chiefly(More)
The Linear Sampling Method (LSM) is a qualitative inverse scattering technique which has many desirable properties for the reconstruction of 3D images from radio frequency (RF) data. These advantages include the ability to compensate for multi-path effects, the reliance on little prior assumptions regarding the imaging scene, and that it is a linear(More)
We consider the problem of imaging small current sources embedded in an underwater medium by means of a novel compressive Near-field Electromagnetic Holography (NEH) method. Near-field measurements of the electromagnetic field are represented by a finite combination of electric and magnetic dipoles distributed over a source surface. We investigate a(More)
We consider the problem of detecting buried objects by means of a multi-static qualitative electromagnetic inverse scattering method, known as the Linear Sampling Method (LSM), under a sparse aperture antenna arrangement. In particular we propose a so called frequency variation scheme that seeks to exploit frequency diversity to mitigate the well known(More)