Travelled to:1 × Brazil
1 × Finland
1 × USA
1 × United Kingdom
Collaborated with:Y.LeCun M.Szummer S.Chopra F.J.Huang K.Swersky D.Buchman B.M.Marlin N.d.Freitas Q.V.Le R.Monga M.Devin G.Corrado K.Chen J.Dean A.Y.Ng
Talks about:document (3) featur (2) energi (2) model (2) learn (2) base (2) unsupervis (1) represent (1) extractor (1) autoencod (1)
Person: Marc'Aurelio Ranzato
DBLP: Ranzato:Marc=Aurelio
Contributed to:
201220112008
2007Wrote 5 papers:
- ICML-2012-LeRMDCCDN #learning #scalability #using
- Building high-level features using large scale unsupervised learning (QVL, MR, RM, MD, GC, KC, JD, AYN), p. 69.
- ICML-2011-SwerskyRBMF #energy #modelling #on the
- On Autoencoders and Score Matching for Energy Based Models (KS, MR, DB, BMM, NdF), pp. 1201–1208.
- ICML-2008-RanzatoS #documentation #learning #network
- Semi-supervised learning of compact document representations with deep networks (MR, MS), pp. 792–799.
- ICDAR-2007-LeCunCRH #documentation #energy #modelling #recognition
- Energy-Based Models in Document Recognition and Computer Vision (YL, SC, MR, FJH), pp. 337–341.
- ICDAR-2007-RanzatoL #documentation #image #invariant
- A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images (MR, YL), pp. 1213–1217.