Sequential Labeling With Structural SVM Under Nondecomposable Losses
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DOI: 10.1109/tnnls.2017.2757504
Abstract: Sequential labeling addresses the classification of sequential data, which are widespread in fields as diverse as computer vision, finance, and genomics. The model traditionally used for sequential labeling is the hidden Markov model (HMM), where… read more here.
Keywords: labeling structural; structural svm; svm nondecomposable; training ... See more keywords