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Highly Efficient Spatial-Temporal Correlation Basis for 5G IoT Networks
(Sensors (Basel), 2021)
One of the major concerns in 5G IoT networks is that most of the sensor nodes are powered through limited lifetime, which seriously affects the performance of the networks. In this article, Compressive sensing (CS) technique ...
Grid structure impact in sparse point representation of derivatives
(Elsevier Science BvAmsterdamHolanda, 2010)
Face recognition via adaptive sparse representations of random patches
(IEEE, 2014)
Unconstrained face recognition is still an open problem, as state-of-the-art algorithms have not yet reached high recognition performance in real-world environments (e.g., crowd scenes at the Boston Marathon). This paper ...
Significant instances in motor gestures of different songbird species
(Frontiers Media, 2019-10-01)
The nervous system representation of a motor program is an open problem for most behaviors. In birdsong production, it has been proposed that some special temporal instances, linked to significant aspects of the motor ...
Sparse Representation-Based Framework for Preprocessing Brain MRI
(Universidad del NorteDoctorado en Ingeniería de Sistemas y ComputaciónDepartamento de ingeniería de sistemasBarranquilla, Colombia, 2020)
Detección de ruptura en barras de motores de inducción mediante el análisis de la representación sparse de señales de vibración
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017)
Detección de ruptura en barras de motores de inducción mediante el análisis de la representación sparse de señales de vibración
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017)
Recognition of Faces and Facial Attributes Using Accumulative Local Sparse Representations
(IEEE, 2018)
This paper addresses the problem of automated recognition of faces and facial attributes by proposing a new general approach called Accumulative Local Sparse Representation (ALSR). In the learning stage, we build a general ...
Implicitization of rational hypersurfaces via linear syzygies: A practical overview
(Academic Press Ltd - Elsevier Science Ltd, 2016-05)
We unveil in concrete terms the general machinery of the syzygy-based algorithms for the implicitization of rational surfaces in terms of the monomials in the polynomials defining the parametrization, following and expanding ...
Multidimensional compressed sensing and their applications
(Wiley, 2013-10-18)
Compressed Sensing (CS) comprises a set of relatively new techniques that exploit the underlying structure of data sets allowing their reconstruction from compressed versions or incomplete information. CS reconstruction ...