Free energy score space

NeurIPS 2009 Alessandro PerinaMarco CristaniUmberto CastellaniVittorio MurinoNebojsa Jojic

Score functions induced by generative models extract fixed-dimension feature vectors from different-length data observations by subsuming the process of data generation, projecting them in highly informative spaces called score spaces. In this way, standard discriminative classifiers are proved to achieve higher performances than a solely generative or discriminative approach... (read more)

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