39 citations · 78 across the 12 of their papers we have counts for
Showing 2015Show all
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cs.CV2015★ 24 cited
Learning to count with deep object features
Santi Seguí, Oriol Pujol, Jordi Vitrià
Learning to count is a learning strategy that has been recently proposed in the literature for dealing with problems where estimating the number of object instances in a scene is t…
cs.CV2015
Error-Correcting Factorization
Miguel Angel Bautista, Oriol Pujol, Fernando de la Torre +1
Error Correcting Output Codes (ECOC) is a successful technique in multi-class classification, which is a core problem in Pattern Recognition and Machine Learning. A major advantage…