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Online Multiple Kernel Learning for Structured Prediction
Andre F. T. Martins, Mario A. T. Figueiredo, Pedro M. Q. Aguiar +2
Despite the recent progress towards efficient multiple kernel learning (MKL), the structured output case remains an open research front. Current approaches involve repeatedly solvi…
Alternating Direction Algorithms for Constrained Sparse Regression: Application to Hyperspectral Unmixing
José M. Bioucas-Dias, Mário A. T. Figueiredo
Convex optimization problems are common in hyperspectral unmixing. Examples include: the constrained least squares (CLS) and the fully constrained least squares (FCLS) problems, wh…
Restoration of Poissonian Images Using Alternating Direction Optimization
Mário A. T. Figueiredo, José M. Bioucas-Dias
Much research has been devoted to the problem of restoring Poissonian images, namely for medical and astronomical applications. However, the restoration of these images using state…