On the need for metrics in dictionary learning assessment

EUSIPCO 2014 Sylvain ChevallierQuentin BarthélemyJamal Atif

Dictionary-based approaches are the focus of a growing attention in the signal processing community, often achieving state of the art results in several application fields. Albeit their success , the criteria introduced so far for the assessment of their performances suffer from several shortcomings... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet