Feature Selection with Annealing for Computer Vision and Big Data Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence 2017 Adrian BarbuYiyuan SheLiangjing DingGary Gramajo

Many computer vision and medical imaging problems are faced with learning from large-scale datasets, with millions of observations and features. In this paper we propose a novel efficient learning scheme that tightens a sparsity constraint by gradually removing variables based on a criterion and a schedule... (read more)

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