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Andreas Fischer 0002
Person information
- affiliation: Concordia University, Centre for Pattern Recognition and Machine Intelligence, Montreal, Canada
- affiliation: Polytechnique Montreal, Biomedical Science and Technologies Research Centre, Canada
- affiliation: University of Fribourg, Department of Informatics, Switzerland
- affiliation: University of Bern, Institute of Computer Science and Applied Mathematics, Switzerland
Other persons with the same name
- Andreas Fischer — disambiguation page
- Andreas Fischer 0001
— Deggendorf Institute of Technology, Germany (and 2 more)
- Andreas Fischer 0003 — Karlsruhe Institute of Technology, Department of Sport and Sport Science (ifSS), Germany
- Andreas Fischer 0004
- Andreas Fischer 0005
- Andreas Fischer 0006 — Fraunhofer Institute for Manufacturing Engineering and Automation (IPA), Stuttgart, Germany
- Andreas Fischer 0007 — University of Hannover, Institute of Production Systems and Logistics, Germany
- Andreas Fischer 0008 — University of Saskatchewan, Department of Mathematics and Statistics, Saskatoon, Canada
- Andreas Fischer 0009 — University of Bremen, Institute for Dynamical Systems, Germany
- Andreas Fischer 0010 — Heidelberg University, Germany
- Andreas Fischer 0011
- Andreas Fischer 0012 — School of Engineering and Architecture of Fribourg (HEIA-FR), Institute of Complex Systems (iCoSys), Fribourg, Switzerland
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2020 – today
- 2024
- [c88]Anna Scius-Bertrand, Atefeh Fakhari, Lars Vögtlin
Are Layout Analysis and OCR Still Useful for Document Information Extraction Using Foundation Models? ICDAR (4) 2024: 175-191 - [i12]Vedasri Nakka, Andreas Fischer, Rolf Ingold, Lars Vögtlin:
Contrastive Learning for Character Detection in Ancient Greek Papyri. CoRR abs/2409.10156 (2024) - 2023
- [j18]Anna Scius-Bertrand, Marc Bui, Andreas Fischer:
A Hybrid Deep Learning Approach to Keyword Spotting in Vietnamese Stele Images. Informatica (Slovenia) 47(3) (2023) - [c87]Réjean Plamondon, Asma Bensalah, Karina Lebel, Romeo Salameh, Guillaume Séguin de Broin, Christian O'Reilly, Mickaël Begon, Olivier Desbiens, Youssef Beloufa, Aymeric Guy, Daniel Berio, Frederic Fol Leymarie, Simon Pierre Boyogueno Bidias, Andreas Fischer, Zigeng Zhang, Marie-France Morin, Denis Alamargot, Céline Rémi, Nadir Faci, Raphaëlle Fortin, Marie-Noëlle Simard, Caroline Bazinet:
Lognormality: An Open Window on Neuromotor Control. IGS 2023: 205-258 - [c86]Lars Vögtlin
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis. HIP@ICDAR 2023: 61-66 - [c85]Michael Jungo
Character Queries: A Transformer-Based Approach to On-line Handwritten Character Segmentation. ICDAR (1) 2023: 98-114 - [c84]Linda Studer, JM Bokhorst, I Nagtegaal, Inti Zlobec, Heather Dawson, Andreas Fischer:
Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients. MIDL 2023: 235-259 - [c83]Michael Jungo
Impact of the ground truth quality for handwriting recognition. SoICT 2023: 135-140 - [i11]Michael Jungo, Beat Wolf, Andrii Maksai, Claudiu Musat, Andreas Fischer:
Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation. CoRR abs/2309.03072 (2023) - [i10]Michael Jungo, Lars Vögtlin, Atefeh Fakhari, Nathan Wegmann, Rolf Ingold, Andreas Fischer, Anna Scius-Bertrand:
Impact of Ground Truth Quality on Handwriting Recognition. CoRR abs/2312.09037 (2023) - 2022
- [j17]Christian Abbet
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. Medical Image Anal. 79: 102473 (2022) - [c82]Martin Spoto, Beat Wolf, Andreas Fischer, Anna Scius-Bertrand:
Improving Handwriting Recognition for Historical Documents Using Synthetic Text Lines. IGS 2022: 61-75 - [c81]Alicia Fornés
The RPM3D Project: 3D Kinematics for Remote Patient Monitoring. IGS 2022: 217-226 - [c80]Jonas Diesbach, Andreas Fischer, Marc Bui, Anna Scius-Bertrand:
Generating Synthetic Styled Chu Nom Characters. ICFHR 2022: 484-497 - [c79]Anna Scius-Bertrand
Retrieving Keywords in Historical Vietnamese Stele Images Without Human Annotations. SoICT 2022: 295-301 - [c78]Anna Scius-Bertrand, Linda Studer, Andreas Fischer, Marc Bui:
Annotation-Free Keyword Spotting in Historical Vietnamese Manuscripts Using Graph Matching. S+SSPR 2022: 22-32 - [i9]Alicia Fornés, Asma Bensalah, Cristina Carmona-Duarte, Jialuo Chen, Miguel A. Ferrer, Andreas Fischer, Josep Lladós, Cristina Martín, Eloy Opisso
The RPM3D project: 3D Kinematics for Remote Patient Monitoring. CoRR abs/2212.05063 (2022) - 2021
- [j16]Pau Riba, Andreas Fischer, Josep Lladós, Alicia Fornés
Learning graph edit distance by graph neural networks. Pattern Recognit. 120: 108132 (2021) - [c77]Fabian Wolf
Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting. ICDAR (1) 2021: 50-64 - [c76]Anna Scius-Bertrand, Michael Jungo, Beat Wolf, Andreas Fischer, Marc Bui:
Annotation-Free Character Detection in Historical Vietnamese Stele Images. ICDAR (1) 2021: 432-447 - [c75]Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. MIDL 2021: 5-21 - [i8]Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. CoRR abs/2108.09178 (2021) - 2020
- [j15]Michael Stauffer
Filters for graph-based keyword spotting in historical handwritten documents. Pattern Recognit. Lett. 134: 125-134 (2020) - [c74]Linda Studer, Jannis Wallau, Heather Dawson, Inti Zlobec, Andreas Fischer:
Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks. ICPR 2020: 3636-3643 - [c73]Lucy Linder, Michael Jungo, Jean Hennebert, Claudiu Cristian Musat, Andreas Fischer:
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German. LREC 2020: 2706-2711 - [c72]Linda Studer, Jannis Wallau, Rolf Ingold
Effects of Graph Pooling Layers on Classification with Graph Neural Networks. SDS 2020: 57-58 - [p2]Andreas Fischer, Roman Schindler, Manuel Bouillon, Réjean Plamondon:
Modeling 3D Movements with the Kinematic Theory of Rapid Human Movements. The Lognormality Principle 2020: 327-342 - [p1]Alicia Fornés, Asma Bensalah, Cristina Carmona-Duarte
Appendices. The Lognormality Principle 2020: 349-409 - [i7]Pau Riba, Andreas Fischer, Josep Lladós, Alicia Fornés:
Learning Graph Edit Distance by Graph Neural Networks. CoRR abs/2008.07641 (2020)
2010 – 2019
- 2019
- [b1]Michael Stauffer
Graph-Based Keyword Spotting. Series in Machine Perception and Artificial Intelligence 86, WorldScientific 2019, ISBN 9789811206627, pp. 1-296 - [j14]Mohammad Reza Ameri, Michael Stauffer
Graph-based keyword spotting in historical manuscripts using Hausdorff edit distance. Pattern Recognit. Lett. 121: 61-67 (2019) - [j13]Paul Maergner
Combining graph edit distance and triplet networks for offline signature verification. Pattern Recognit. Lett. 125: 527-533 (2019) - [c71]Noémien Kocher
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes. CoNLL 2019: 890-899 - [c70]Michael Stauffer
Cross-Evaluation of Graph-Based Keyword Spotting in Handwritten Historical Documents. GbRPR 2019: 45-55 - [c69]Michael Stauffer
Graph Embedding for Offline Handwritten Signature Verification. ICBEA 2019: 69-76 - [c68]Anna Scius-Bertrand, Lars Vögtlin, Michele Alberti, Andreas Fischer, Marc Bui:
Layout Analysis and Text Column Segmentation for Historical Vietnamese Steles. HIP@ICDAR 2019: 84-89 - [c67]Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. ICDAR 2019: 720-725 - [c66]Michael Stauffer
Offline Signature Verification using Structural Dynamic Time Warping. ICDAR 2019: 1117-1124 - [i6]Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold:
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. CoRR abs/1905.09113 (2019) - [i5]Paul Maergner, Nicholas R. Howe, Kaspar Riesen, Rolf Ingold, Andreas Fischer:
Graph-Based Offline Signature Verification. CoRR abs/1906.10401 (2019) - [i4]Noémien Kocher, Christian Scuito, Lorenzo Tarantino, Alexandros Lazaridis, Andreas Fischer, Claudiu Musat:
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes. CoRR abs/1909.08700 (2019) - [i3]Lucy Linder, Michael Jungo, Jean Hennebert, Claudiu Musat, Andreas Fischer:
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German. CoRR abs/1912.00159 (2019) - 2018
- [j12]Kaspar Riesen
On the Impact of Using Utilities Rather than Costs for Graph Matching. Neural Process. Lett. 48(2): 691-707 (2018) - [j11]Michael Stauffer
Keyword spotting in historical handwritten documents based on graph matching. Pattern Recognit. 81: 240-253 (2018) - [j10]Moisés Díaz Cabrera
Dynamic Signature Verification System Based on One Real Signature. IEEE Trans. Cybern. 48(1): 228-239 (2018) - [c65]Baptiste Wicht, Andreas Fischer, Jean Hennebert:
DLL: A Fast Deep Neural Network Library. ANNPR 2018: 54-65 - [c64]Michael Stauffer
Graph-Based Keyword Spotting in Historical Documents Using Context-Aware Hausdorff Edit Distance. DAS 2018: 49-54 - [c63]Paul Maergner
Offline Signature Verification Via Structural Methods: Graph Edit Distance and Inkball Models. ICFHR 2018: 163-168 - [c62]Pau Riba
Learning Graph Distances with Message Passing Neural Networks. ICPR 2018: 2239-2244 - [c61]Baptiste Wicht, Andreas Fischer, Jean Hennebert:
Seamless GPU Evaluation of Smart Expression Templates. HPCS 2018: 196-203 - [c60]Paul Maergner
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. S+SSPR 2018: 470-480 - [i2]Baptiste Wicht, Jean Hennebert, Andreas Fischer:
DLL: A Blazing Fast Deep Neural Network Library. CoRR abs/1804.04512 (2018) - [i1]Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer:
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. CoRR abs/1810.07491 (2018) - 2017
- [j9]Andreas Fischer, Kaspar Riesen
Improved quadratic time approximation of graph edit distance by combining Hausdorff matching and greedy assignment. Pattern Recognit. Lett. 87: 55-62 (2017) - [j8]Andreas Fischer
Signature Verification Based on the Kinematic Theory of Rapid Human Movements. IEEE Trans. Hum. Mach. Syst. 47(2): 169-180 (2017) - [j7]Angelika Garz, Mathias Seuret, Andreas Fischer, Rolf Ingold
A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs. IEEE Trans. Hum. Mach. Syst. 47(2): 181-193 (2017) - [c59]Michael Stauffer
Speeding-Up Graph-Based Keyword Spotting by Quadtree Segmentations. CAIP (1) 2017: 304-315 - [c58]Karim Sayadi, Mansour Hamidi, Marc Bui, Marcus Liwicki, Andreas Fischer:
Character-Level Dialect Identification in Arabic Using Long Short-Term Memory. CICLing (2) 2017: 324-337 - [c57]Michael Stauffer
Speeding-Up Graph-Based Keyword Spotting in Historical Handwritten Documents. GbRPR 2017: 83-93 - [c56]Kaspar Riesen
Improved Graph Edit Distance Approximation with Simulated Annealing. GbRPR 2017: 222-231 - [c55]Michael Stauffer
A Survey on Applications of Bipartite Graph Edit Distance. GbRPR 2017: 242-252 - [c54]Michael Stauffer
Ensembles for Graph-Based Keyword Spotting in Historical Handwritten Documents. ICDAR 2017: 714-720 - [c53]Paul Maergner
A Structural Approach to Offline Signature Verification Using Graph Edit Distance. ICDAR 2017: 1216-1222 - 2016
- [c52]Baptiste Wicht, Andreas Fischer, Jean Hennebert:
On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM. ANNPR 2016: 163-174 - [c51]Kaspar Riesen
Approximation of Graph Edit Distance by Means of a Utility Matrix. ANNPR 2016: 185-194 - [c50]Angelika Garz, Mathias Seuret, Fotini Simistira, Andreas Fischer, Rolf Ingold
Creating Ground Truth for Historical Manuscripts with Document Graphs and Scribbling Interaction. DAS 2016: 126-131 - [c49]Angelika Garz, Marcel Würsch
Simple and Fast Geometrical Descriptors for Writer Identification. Document Recognition and Retrieval 2016: 1-12 - [c48]Baptiste Wicht, Andreas Fischer, Jean Hennebert:
Keyword Spotting with Convolutional Deep Belief Networks and Dynamic Time Warping. ICANN (2) 2016: 113-120 - [c47]Nicholas R. Howe, Andreas Fischer, Baptiste Wicht:
Inkball Models as Features for Handwriting Recognition. ICFHR 2016: 96-101 - [c46]Baptiste Wicht, Andreas Fischer, Jean Hennebert:
Deep learning features for handwritten keyword spotting. ICPR 2016: 3434-3439 - [c45]Michael Stauffer
A Novel Graph Database for Handwritten Word Images. S+SSPR 2016: 553-563 - [c44]Michael Stauffer
Graph-Based Keyword Spotting in Historical Handwritten Documents. S+SSPR 2016: 564-573 - 2015
- [j6]Kaspar Riesen
Estimating Graph Edit Distance Using Lower and Upper Bounds of Bipartite Approximations. Int. J. Pattern Recognit. Artif. Intell. 29(2): 1550011:1-1550011:27 (2015) - [j5]Andreas Fischer
Approximation of graph edit distance based on Hausdorff matching. Pattern Recognit. 48(2): 331-343 (2015) - [c43]Kaspar Riesen
Approximation of Graph Edit Distance in Quadratic Time. GbRPR 2015: 3-12 - [c42]Andreas Fischer, Seiichi Uchida
Improving Hausdorff Edit Distance Using Structural Node Context. GbRPR 2015: 148-157 - [c41]Hao Wei, Mathias Seuret, Kai Chen, Andreas Fischer, Marcus Liwicki, Rolf Ingold
Selecting Autoencoder Features for Layout Analysis of Historical Documents. HIP@ICDAR 2015: 55-62 - [c40]Mathias Seuret, Andreas Fischer, Angelika Garz, Marcus Liwicki, Rolf Ingold
Clustering Historical Documents Based on the Reconstruction Error of Autoencoders. HIP@ICDAR 2015: 85-91 - [c39]Andreas Fischer, Moisés Díaz Cabrera
Robust score normalization for DTW-based on-line signature verification. ICDAR 2015: 241-245 - [c38]Moisés Díaz Cabrera
Towards an automatic on-line signature verifier using only one reference per signer. ICDAR 2015: 631-635 - [c37]Kaspar Riesen
Building Classifier Ensembles Using Greedy Graph Edit Distance. MCS 2015: 125-134 - 2014
- [j4]Volkmar Frinken, Andreas Fischer, Markus Baumgartner, Horst Bunke:
Keyword spotting for self-training of BLSTM NN based handwriting recognition systems. Pattern Recognit. 47(3): 1073-1082 (2014) - [j3]Francisco Zamora-Martínez, Volkmar Frinken, Salvador España Boquera, María José Castro Bleda, Andreas Fischer, Horst Bunke:
Neural network language models for off-line handwriting recognition. Pattern Recognit. 47(4): 1642-1652 (2014) - [c36]Kaspar Riesen
Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximation. ANNPR 2014: 117-128 - [c35]Kaspar Riesen
Computing Upper and Lower Bounds of Graph Edit Distance in Cubic Time. ANNPR 2014: 129-140 - [c34]Andreas Fischer, Micheal Baechler, Angelika Garz, Marcus Liwicki, Rolf Ingold
A Combined System for Text Line Extraction and Handwriting Recognition in Historical Documents. Document Analysis Systems 2014: 71-75 - [c33]Volkmar Frinken, Dimosthenis Karatzas
A Cache Language Model for Whole Document Handwriting Recognition. Document Analysis Systems 2014: 166-170 - [c32]Andreas Fischer, Réjean Plamondon, Christian O'Reilly
Neuromuscular Representation and Synthetic Generation of Handwritten Whiteboard Notes. ICFHR 2014: 222-227 - [c31]Mohammad Reza Ameri, Medhi Haji, Andreas Fischer, Dominique Ponson, Tien D. Bui:
A Feature Extraction Method for Cursive Character Recognition Using Higher-Order Singular Value Decomposition. ICFHR 2014: 512-516 - [c30]Kaspar Riesen
Improving Graph Edit Distance Approximation by Centrality Measures. ICPR 2014: 3910-3914 - [c29]Kaspar Riesen
Improving Approximate Graph Edit Distance Using Genetic Algorithms. S+SSPR 2014: 63-72 - [c28]Andreas Fischer, Réjean Plamondon, Yvon Savaria, Kaspar Riesen
A Hausdorff Heuristic for Efficient Computation of Graph Edit Distance. S+SSPR 2014: 83-92 - 2013
- [c27]Andreas Fischer, Ching Y. Suen, Volkmar Frinken, Kaspar Riesen
A Fast Matching Algorithm for Graph-Based Handwriting Recognition. GbRPR 2013: 194-203 - [c26]Volkmar Frinken, Andreas Fischer, Carlos D. Martínez-Hinarejos
Handwriting recognition in historical documents using very large vocabularies. HIP@ICDAR 2013: 67-72 - [c25]Andreas Fischer, Muriel Visani, Van Cuong Kieu, Ching Y. Suen:
Generation of learning samples for historical handwriting recognition using image degradation. HIP@ICDAR 2013: 73-79 - [c24]Sophea Prum
A Discriminative Approach to On-Line Handwriting Recognition Using Bi-character Models. ICDAR 2013: 364-368 - [c23]Andreas Fischer, Volkmar Frinken, Horst Bunke, Ching Y. Suen:
Improving HMM-Based Keyword Spotting with Character Language Models. ICDAR 2013: 506-510 - [c22]Angelika Garz, Andreas Fischer, Horst Bunke, Rolf Ingold
A Binarization-Free Clustering Approach to Segment Curved Text Lines in Historical Manuscripts. ICDAR 2013: 1290-1294 - 2012
- [j2]Volkmar Frinken, Andreas Fischer
A Novel Word Spotting Method Based on Recurrent Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 211-224 (2012) - [j1]Andreas Fischer
Lexicon-free handwritten word spotting using character HMMs. Pattern Recognit. Lett. 33(7): 934-942 (2012) - [c21]Angelika Garz, Andreas Fischer, Robert Sablatnig
Binarization-Free Text Line Segmentation for Historical Documents Based on Interest Point Clustering. Document Analysis Systems 2012: 95-99 - [c20]Micheal Baechler, Andreas Fischer, Nada Naji, Rolf Ingold, Horst Bunke, Jacques Savoy:
HisDoc: Historical Document Analysis, Recognition, and Retrieval. DH 2012: 94-96 - [c19]Volkmar Frinken, Markus Baumgartner, Andreas Fischer, Horst Bunke:
Semi-supervised Learning for Cursive Handwriting Recognition Using Keyword Spotting. ICFHR 2012: 49-54 - [c18]Volkmar Frinken, Francisco Zamora-Martínez, Salvador España Boquera, María José Castro Bleda, Andreas Fischer, Horst Bunke:
Long-short term memory neural networks language modeling for handwriting recognition. ICPR 2012: 701-704 - 2011
- [c17]Andreas Fischer, Horst Bunke:
Character prototype selection for handwriting recognition in historical documents. EUSIPCO 2011: 1435-1439 - [c16]Andreas Fischer, Volkmar Frinken, Alicia Fornés, Horst Bunke:
Transcription alignment of Latin manuscripts using hidden Markov models. HIP@ICDAR 2011: 29-36 - [c15]Andreas Fischer, Emanuel Indermühle, Volkmar Frinken, Horst Bunke:
HMM-Based Alignment of Inaccurate Transcriptions for Historical Documents. ICDAR 2011: 53-57 - [c14]Emanuel Indermühle, Volkmar Frinken, Andreas Fischer, Horst Bunke:
Keyword Spotting in Online Handwritten Documents Containing Text and Non-text Using BLSTM Neural Networks. ICDAR 2011: 73-77 - [c13]Alicia Fornés, Volkmar Frinken, Andreas Fischer, Jon Almazán, Gabriel Jackson, Horst Bunke:
A keyword spotting approach using blurred shape model-based descriptors. HIP@ICDAR 2011: 83-90 - [c12]Volkmar Frinken, Andreas Fischer, Horst Bunke, Alicia Fornés
Co-training for Handwritten Word Recognition. ICDAR 2011: 314-318 - [c11]Volkmar Frinken, Andreas Fischer, Horst Bunke:
Improving handwritten keyword spotting with self-training. SAC 2011: 840-845 - 2010
- [c10]Volkmar Frinken, Andreas Fischer, Horst Bunke:
A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks. ANNPR 2010: 185-196 - [c9]Andreas Fischer, Emanuel Indermühle, Horst Bunke, Gabriel Viehhauser, Michael Stolz:
Ground truth creation for handwriting recognition in historical documents. Document Analysis Systems 2010: 3-10 - [c8]Andreas Fischer, Kaspar Riesen
Graph Similarity Features for HMM-Based Handwriting Recognition in Historical Documents. ICFHR 2010: 253-258 - [c7]Volkmar Frinken, Andreas Fischer, Horst Bunke, R. Manmatha:
Adapting BLSTM Neural Network Based Keyword Spotting Trained on Modern Data to Historical Documents. ICFHR 2010: 352-357 - [c6]Andreas Fischer
HMM-based Word Spotting in Handwritten Documents Using Subword Models. ICPR 2010: 3416-3419 - [c5]Volkmar Frinken, Andreas Fischer, Horst Bunke:
Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting. MCS 2010: 215-224
2000 – 2009
- 2009
- [c4]Andreas Fischer, Horst Bunke:
Kernel PCA for HMM-Based Cursive Handwriting Recognition. CAIP 2009: 181-188 - [c3]Volkmar Frinken, Tim Peter, Andreas Fischer, Horst Bunke, Trinh Minh Tri Do, Thierry Artières
Improved Handwriting Recognition by Combining Two Forms of Hidden Markov Models and a Recurrent Neural Network. CAIP 2009: 189-196 - [c2]Markus Wüthrich, Marcus Liwicki, Andreas Fischer, Emanuel Indermühle, Horst Bunke, Gabriel Viehhauser, Michael Stolz:
Language Model Integration for the Recognition of Handwritten Medieval Documents. ICDAR 2009: 211-215 - 2008
- [c1]Andreas Fischer, Kaspar Riesen
An experimental study of graph classification using prototype selection. ICPR 2008: 1-4
Coauthor Index
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