Travelled to:
1 × Canada
1 × France
1 × Portugal
1 × Spain
1 × Turkey
1 × USA
1 × United Kingdom
Collaborated with:
R.Sabourin F.Bortolozzi C.Y.Suen P.R.Cavalin M.N.Kapp J.Martins M.Lopes F.Gouyon A.L.Koerich P.V.W.Radtke T.Wong E.Lethelier A.d.S.B.Jr.
Talks about:
handwritten (3) algorithm (3) recognit (3) select (3) object (3) featur (3) multi (3) approach (2) segment (2) genet (2)
Person: Luiz E. Soares de Oliveira
DBLP: Oliveira:Luiz_E=_Soares_de
Contributed to:
Wrote 8 papers:
- SAC-2013-CavalinKMO #framework #multi #recognition
- A multiple feature vector framework for forest species recognition (PRC, MNK, JM, LESdO), pp. 16–20.
- ICPR-2010-LopesGKO #classification #music
- Selection of Training Instances for Music Genre Classification (ML, FG, ALK, LESdO), pp. 4569–4572.
- SAC-2006-CavalinBBSO #recognition #string
- An implicit segmentation-based method for recognition of handwritten strings of characters (PRC, AdSBJ, FB, RS, LESdO), pp. 836–840.
- ICDAR-2003-OliveiraSBS #algorithm #approach #feature model #multi #search-based
- Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach (LESdO, RS, FB, CYS), p. 676–?.
- ICDAR-2003-RadtkeOSW #algorithm #design #multi #using
- Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms (PVWR, LESdO, RS, TW), pp. 824–828.
- ICPR-v1-2002-OliveiraSBS #algorithm #feature model #multi #recognition #search-based #using
- Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition (LESdO, RS, FB, CYS), pp. 568–571.
- ICDAR-2001-OliveiraSBS #composition
- A Modular System to Recognize Numerical Amounts on Brazilian Bank Checks (LESdO, RS, FB, CYS), pp. 389–395.
- ICPR-v2-2000-OliveiraLBS #approach #segmentation
- A New Segmentation Approach for Handwritten Digits (LESdO, EL, FB, RS), pp. 2323–2326.