Travelled to:
1 × Australia
1 × Brazil
1 × Germany
1 × Korea
1 × Turkey
2 × China
2 × United Kingdom
3 × USA
Collaborated with:
T.Plötz G.Sagerer S.Vajda M.Wienecke L.Rothacker A.Junaidi M.Rusiñol B.Möller J.Richarz I.Ahmad S.A.Mahmoud R.Grzeszick H.Brandt-Pook S.Wachsmuth F.Kummert E.Braun P.Husemann S.Kanies K.Lienemann T.Marschall M.Martin L.Schillingmann M.Steinrucken H.Sudek
Talks about:
recognit (6) base (5) model (4) charact (3) featur (3) hmm (3) handwritten (2) interpret (2) handwrit (2) sequenc (2)
Person: Gernot A. Fink
DBLP: Fink:Gernot_A=
Contributed to:
Wrote 15 papers:
- ICDAR-2013-AhmadRFM #modelling #novel #recognition
- Novel Sub-character HMM Models for Arabic Text Recognition (IA, LR, GAF, SAM), pp. 658–662.
- ICDAR-2013-JunaidiGFV #modelling #statistics
- Statistical Modeling of the Relation between Characters and Diacritics in Lampung Script (AJ, RG, GAF, SV), pp. 663–667.
- ICDAR-2013-RothackerRF #documentation #word
- Bag-of-Features HMMs for Segmentation-Free Word Spotting in Handwritten Documents (LR, MR, GAF), pp. 1305–1309.
- ICDAR-2011-VajdaJF #approach #learning
- A Semi-supervised Ensemble Learning Approach for Character Labeling with Minimal Human Effort (SV, AJ, GAF), pp. 259–263.
- ICPR-2010-VajdaF #network #performance
- Exploring Pattern Selection Strategies for Fast Neural Network Training (SV, GAF), pp. 2913–2916.
- ICPR-2008-MollerPF #multi #performance #reliability
- Calibration-free camera hand-over for fast and reliable person tracking in multi-camera setups (BM, TP, GAF), pp. 1–4.
- ICPR-2008-RicharzPF #3d #detection #gesture #realtime
- Real-time detection and interpretation of 3D deictic gestures for interactionwith an intelligent environment (JR, TP, GAF), pp. 1–4.
- ICDAR-2007-FinkP #modelling #on the #recognition
- On the Use of Context-Dependent Modeling Units for HMM-Based Offline Handwriting Recognition (GAF, TP), pp. 729–733.
- ICPR-v3-2006-PlotzFHKLMMSSS #automation #detection #modelling #music #probability #using
- Automatic Detection of Song Changes in Music Mixes Using Stochastic Models (TP, GAF, PH, SK, KL, TM, MM, LS, MS, HS), pp. 665–668.
- ICDAR-2005-FinkP #feature model #independence #on the #recognition
- On Appearance-Based Feature Extraction Methods for Writer-Independent Handwritten Text Recognition (GAF, TP), pp. 1070–1074.
- ICPR-v2-2004-PlotzF #analysis #biology #feature model #sequence
- Feature Extraction for Improved Profile HMM based Biological Sequence Analysis (TP, GAF), pp. 315–318.
- ICDAR-2003-WieneckeFS #automation #towards
- Towards Automatic Video-based Whiteboard Reading (MW, GAF, GS), pp. 87–91.
- ICDAR-2001-FinkWS #online #recognition
- Video-Based On-line Handwriting Recognition (GAF, MW, GS), pp. 226–230.
- HCI-EI-1999-Brandt-PookFWS #recognition #speech
- Integrated Recognition and Interpretation of Speech for a Construction Task Domain (HBP, GAF, SW, GS), pp. 550–554.
- ICPR-1998-KummertFSB #hybrid #image #recognition #sequence
- Hybrid object recognition in image sequences (FK, GAF, GS, EB), pp. 1165–1170.