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2009 10th International Conference on Document Analysis and Recognition

DOI: 10.1109/icdar.2009.130

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Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS?

Proceedings article published in 2009 by Joachim Schenk, Moritz Kaiser ORCID, Gerhard Rigoll
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

When selecting features with the sequential forward float- ing selection (SFFS), the "nesting effect" is avoided, which is a common phenomenon if the computationally less expen- sive sequential forward selection (SFS) is used instead. In this paper, we answer the key question, if the more complex and sophisticated SFFS should be used in on-line HMM- based recognition of handwritten whiteboard notes. In ad- dition, an efficient method of displaying the selected feature set, the "feature map", is introduced. In an experimental section, both selection approaches are evaluated, the derived feature sets are compared, and a discussion on the selected features is given.