BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
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 DBLP: Fischer:Andreas

Contributed to:

ICPR 20142014
ICDAR 20132013
ICPR 20122012
ICDAR 20112011
SAC 20112011
ICPR 20102010
ICDAR 20092009

Wrote 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HMM-Based Alignment of Inaccurate Transcriptions for Historical Documents (AF, EI, VF, HB), pp. 53–57.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.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.