Travelled to:1 × China
1 × Japan
1 × Spain
1 × Sweden
1 × Taiwan
1 × Turkey
1 × USA
Collaborated with:H.Bunke V.Frinken E.Indermühle K.Riesen C.Y.Suen A.Garz R.Ingold A.Fornés A.Keller F.Zamora-Martínez S.E.Boquera M.J.C.Bleda M.Wüthrich M.Liwicki G.Viehhauser M.Stolz
Talks about:handwritten (5) document (4) model (4) spot (4) recognit (3) languag (3) keyword (3) improv (3) text (3) base (3)
Person: Andreas Fischer
DBLP: Fischer:Andreas
Contributed to:
2014
201320122011
201120102009Wrote 10 papers:
- ICPR-2014-RiesenBF #approximate #distance #edit distance #graph #metric
- Improving Graph Edit Distance Approximation by Centrality Measures (KR, HB, AF), pp. 3910–3914.
- ICDAR-2013-FischerFBS #keyword #modelling
- Improving HMM-Based Keyword Spotting with Character Language Models (AF, VF, HB, CYS), pp. 506–510.
- ICDAR-2013-GarzFBI #approach #clustering
- A Binarization-Free Clustering Approach to Segment Curved Text Lines in Historical Manuscripts (AG, AF, HB, RI), pp. 1290–1294.
- ICPR-2012-FrinkenZBBFB #memory management #modelling #network #recognition
- Long-short term memory neural networks language modeling for handwriting recognition (VF, FZM, SEB, MJCB, AF, HB), pp. 701–704.
- ICDAR-2011-FischerIFB #documentation
- HMM-Based Alignment of Inaccurate Transcriptions for Historical Documents (AF, EI, VF, HB), pp. 53–57.
- ICDAR-2011-FrinkenFBF #recognition #word
- Co-training for Handwritten Word Recognition (VF, AF, HB, AF), pp. 314–318.
- ICDAR-2011-IndermuhleFFB #documentation #keyword #network #online #using
- Keyword Spotting in Online Handwritten Documents Containing Text and Non-text Using BLSTM Neural Networks (EI, VF, AF, HB), pp. 73–77.
- SAC-2011-FrinkenFB #keyword #self
- Improving handwritten keyword spotting with self-training (VF, AF, HB), pp. 840–845.
- ICPR-2010-FischerKFB #documentation #modelling #using #word
- HMM-based Word Spotting in Handwritten Documents Using Subword Models (AF, AK, VF, HB), pp. 3416–3419.
- ICDAR-2009-WuthrichLFIBVS #documentation #integration #recognition
- Language Model Integration for the Recognition of Handwritten Medieval Documents (MW, ML, AF, EI, HB, GV, MS), pp. 211–215.