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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)
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 promising inverse scattering approach that offers several desirable qualities over traditional filtered back-projection and non-linear optimization approaches. The quality of the reconstructions depends heavily on the availability of dense multi-static far-field data. Unfortunately data sets for radar imaging rarely(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 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)
Helmet-Mounted Display Systems (HMDS) improve the situational awareness of an air force pilot in combat; however, they can increase the probability of neck injury to a pilot during a crash or ejection due to their added weight and center of gravity shift. Attempts with simple mechanical force/acceleration release systems to release the HMDS during an(More)