Travelled to:1 × Brazil
1 × Spain
1 × USA
Collaborated with:J.L.Feild A.Kae D.A.Smith G.B.Huang A.McCallum J.J.Weinman A.R.Hanson M.L.Wick M.G.Ross Y.Zhou R.Wang
Talks about:scene (4) text (4) recognit (3) improv (3) use (3) ocr (3) model (2) probabilist (1) vocabulari (1) cryptogram (1)
Person: Erik G. Learned-Miller
DBLP: Learned-Miller:Erik_G=
Contributed to:
201320092007Wrote 7 papers:
- ICDAR-2013-FeildL #recognition
- Improving Open-Vocabulary Scene Text Recognition (JLF, EGLM), pp. 604–608.
- ICDAR-2013-FeildLS #probability #recognition #using
- Using a Probabilistic Syllable Model to Improve Scene Text Recognition (JLF, EGLM, DAS), pp. 897–901.
- ICDAR-2013-ZhouFLW #segmentation
- Scene Text Segmentation via Inverse Rendering (YZ, JLF, EGLM, RW), pp. 457–461.
- ICDAR-2009-KaeL #learning #on the fly #problem
- Learning on the Fly: Font-Free Approaches to Difficult OCR Problems (AK, EGLM), pp. 571–575.
- ICDAR-2007-HuangLM #string #using
- Cryptogram Decoding for OCR Using Numerization Strings (GBH, EGLM, AM), pp. 208–212.
- ICDAR-2007-WeinmanLH #performance #recognition
- Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation (JJW, EGLM, ARH), pp. 979–983.
- ICDAR-2007-WickRL #fault #modelling #topic #using
- Context-Sensitive Error Correction: Using Topic Models to Improve OCR (MLW, MGR, EGLM), pp. 1168–1172.