Heterogeneous Multiview Crowdsensing Based on Half Quadratic Optimization for the Visual Internet of Things
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Wireless Communications"
DOI: 10.1109/mwc.101.2000479
Abstract: For the Visual Internet of Things (VIoT), heterogeneous sensors such as visual cameras and acoustic microphones can be installed in devices to perform cognitive sensing and collect multiview data. Nonetheless, not every device has the… read more here.
Keywords: multiview; internet things; visual internet; based half ... See more keywords
Kernel Correntropy Conjugate Gradient Algorithms Based on Half-Quadratic Optimization.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2019.2959834
Abstract: As a nonlinear similarity measure defined in the kernel space, the correntropic loss (C-Loss) can address the stability issues of second-order similarity measures thanks to its ability to extract high-order statistics of data. However, the… read more here.
Keywords: quadratic optimization; conjugate gradient; gradient; kernel correntropy ... See more keywords
Quadratic Optimization With Similarity Constraint for Unimodular Sequence Synthesis
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2017.2715010
Abstract: This paper considers unimodular sequence synthesis under similarity constraint for both the continuous and discrete phase cases. A computationally efficient iterative algorithm for the continuous phase case (IA-CPC) is proposed to sequentially optimize the quadratic… read more here.
Keywords: sequence synthesis; quadratic optimization; similarity constraint; optimization ... See more keywords
Extending the Scope of Robust Quadratic Optimization
Sign Up to like & getrecommendations! Published in 2021 at "INFORMS Journal on Computing"
DOI: 10.1287/ijoc.2021.1059
Abstract: We derive computationally tractable formulations of the robust counterparts of convex quadratic and conic quadratic constraints that are concave in matrix-valued uncertain parameters. We do this for a broad range of uncertainty sets. Our results… read more here.
Keywords: robust quadratic; quadratic optimization; optimization; scope robust ... See more keywords