SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "L773:2930307064 "

Search: L773:2930307064

  • Result 1-1 of 1
Sort/group result
   
EnumerationReferenceCoverFind
1.
  • Steinert, Rebecca, et al. (author)
  • Recognition of handwritten digits using sparse codes generated by local feature extraction methods
  • 2006
  • In: ESANN'2006. - 2930307064 ; , s. 161-166
  • Conference paper (peer-reviewed)abstract
    • We investigate when sparse coding of sensory inputs canimprove performance in a classification task. For this purpose, we use astandard data set, the MNIST database of handwritten digits. We systematicallystudy combinations of sparse coding methods and neural classifiersin a two-layer network. We find that processing the image data intoa sparse code can indeed improve the classification performance, comparedto directly classifying the images. Further, increasing the level of sparsenessleads to even better performance, up to a point where the reductionof redundancy in the codes is offset by loss of information.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-1 of 1
Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Steinert, Rebecca (1)
Lansner, Anders (1)
Rehn, Martin (1)
University
Royal Institute of Technology (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year
2006 (1)

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view