Andreas Fischer

Andreas Fischer, PhD (Computer Science), Professor
Contact
Phone: +41 26 429 6734
Office: C10.09
Address
iCoSys Institute
School of Engineering and Architecture Fribourg
Boulevard de Pérolles 80
1700 Fribourg, Switzerland

Functions

Domains of Expertise

  • Pattern Recognition, Applied Machine Learning
  • Document Analysis, Handwriting Recognition, Natural Language Processing
  • Graph Matching, Graph Edit Distance, Geometric Deep Learning

Teaching

  • Pattern Recognition (Master, English, UniFR)
  • Algorithms and Data Structures (Bachelor, German, HEIA-FR)
  • Formal Languages (Bachelor, French, HEIA-FR)
  • IT Project Management (Bachelor, German, HEIA-FR)
  • Software Skills Lab (Bachelor, English, UniFR)

Research Projects

  • HisDoc: Historical document analysis, recognition, and retrieval
    2009-2012, PhD student, SNF
  • Bootstrapping handwriting recognition systems for historical documents (P141453)
    2012-2013, PI, SNF
  • Automatic handwriting recognition and writer identification based on the Kinematic Theory (P151279)
    2014-2015, PI, SNF
  • Deep Suggestions: Automatic domain name suggestion
    2016-2018, WP leader, Innosuisse with VeriSign Sàrl
  • LibViz: The visible digital library
    2017-2018, PI, Hasler
  • TaxHWR: Automatic handwriting recognition for tax form validator
    2017-2019, PI, TAINA Technology
  • AlpLinkBioEco: Linking bio-based industry value chains across the Alpine region
    2018-2019, WP leader, Interreg
  • SwissTranslation: Automatic translation from Swiss German to High German
    2018-2021, PI, Swisscom
  • A combined budding/T-cell score in pT1 and stage II colorectal cancer
    2019-2022, Co-PI, Rising Tide

Research Community

  • Member of the leadership team of the IAPR-TC11: Reading Systems
  • Member of the governing board of the International Graphonomics Society (IGS)
  • Co-Chair of the 4th International Workshop on Historical Document Imaging and Processing (HIP’2017) in Kyoto, Japan
  • Co-Chair of the 16th International Conference on Document Analysis and Recognition (ICDAR’2021) in Lausanne, Switzerland

Publications

Entries: 47

  • M. R. Ameri, M. Stauffer, K. Riesen, T. D. Bui, and A. Fischer, “Graph-Based Keyword Spotting in Historical Manuscripts Using Hausdorff Edit Distance,” Pattern Recognition Letters, vol. PP, p. 1–7, 2018.
    [PDF] [Bibtex]
    @article{ameri18graphbased,
    Author = {M.R. Ameri and M. Stauffer and K. Riesen and T.D. Bui and A. Fischer},
    Date-Added = {2018-10-04 07:18:51 +0000},
    Date-Modified = {2018-10-04 07:21:27 +0000},
    Journal = {Pattern Recognition Letters},
    Pages = {1--7},
    Title = {Graph-Based Keyword Spotting in Historical Manuscripts Using Hausdorff Edit Distance},
    Volume = {PP},
    Year = {2018}}
  • M. Diaz, A. Fischer, M. A. Ferrer, and R. Plamondon, “Dynamic Signature Verification System Based on One Real Signature,” IEEE Trans. on Cybernetics, vol. 48, iss. 1, p. 228–239, 2018.
    [PDF] [Bibtex]
    @article{diaz18dynamic,
    Author = {Diaz, M. and Fischer, A. and Ferrer, M.A. and Plamondon, R.},
    Date-Added = {2017-01-15 10:40:54 +0000},
    Date-Modified = {2018-01-15 13:12:25 +0000},
    Journal = {IEEE Trans. on Cybernetics},
    Number = {1},
    Pages = {228--239},
    Title = {Dynamic Signature Verification System Based on One Real Signature},
    Volume = {48},
    Year = {2018}}
  • P. Maergner, N. R. Howe, K. Riesen, R. Ingold, and A. Fischer, “Offline Signature Verification via Structural Methods: Graph Edit Distance and Inkball Models,” in Proc. 16th Int. Conf. on Frontiers in Handwriting Recognition, 2018.
    [PDF] [Bibtex]
    @inproceedings{maergner18inkball,
    Author = {P. Maergner and N.R. Howe and K. Riesen and R. Ingold and A. Fischer},
    Booktitle = {Proc. 16th Int. Conf. on Frontiers in Handwriting Recognition},
    Date-Added = {2018-10-04 07:47:33 +0000},
    Date-Modified = {2018-10-04 07:49:18 +0000},
    Title = {Offline Signature Verification via Structural Methods: Graph Edit Distance and Inkball Models},
    Year = {2018}}
  • P. Maergner, V. Pondenkandath, M. Alberti, M. Liwicki, K. Riesen, R. Ingold, and A. Fischer, “Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks,” in Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition, 2018.
    [PDF] [Bibtex]
    @inproceedings{maergner18offline,
    Author = {P. Maergner and V. Pondenkandath and M. Alberti and M. Liwicki and K. Riesen and R. Ingold and A. Fischer},
    Booktitle = {Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition},
    Date-Added = {2018-10-04 07:30:48 +0000},
    Date-Modified = {2018-10-04 07:31:50 +0000},
    Title = {Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks},
    Year = {2018}}
  • P. Riba, A. Fischer, J. Llados, and A. Fornés, “Learning Graph Distances with Message Passing Neural Networks,” in Proc. 24th Proc. 24th Int. Conf. on Pattern Recognition, 2018.
    [PDF] [Bibtex]
    @inproceedings{riba18learning,
    Author = {P. Riba and A. Fischer and J. Llados and A. Forn{\'e}s},
    Booktitle = {Proc. 24th Proc. 24th Int. Conf. on Pattern Recognition},
    Date-Added = {2018-10-04 07:28:19 +0000},
    Date-Modified = {2018-10-04 07:29:37 +0000},
    Title = {Learning Graph Distances with Message Passing Neural Networks},
    Year = {2018}}
  • R. Schindler, M. Bouillon, R. Plamondon, and A. Fischer, “Extending the Sigma-Lognormal Model of the Kinematic Theory to Three Dimensions,” in Proc. 1st Int. Conf. on Pattern Recognition and Artificial Intelligence, 2018, p. 748–752.
    [PDF] [Bibtex]
    @inproceedings{schindler18extending,
    Author = {R. Schindler and M. Bouillon and R. Plamondon and A. Fischer},
    Booktitle = {Proc. 1st Int. Conf. on Pattern Recognition and Artificial Intelligence},
    Date-Added = {2018-10-04 07:51:05 +0000},
    Date-Modified = {2018-10-04 07:56:40 +0000},
    Pages = {748--752},
    Title = {Extending the Sigma-Lognormal Model of the Kinematic Theory to Three Dimensions},
    Year = {2018}}
  • M. Stauffer, A. Fischer, and K. Riesen, “Graph-Based Keyword Spotting in Historical Documents Using Context-Aware Hausdorff Edit Distance,” in Proc. 13th Int. Workshop on Document Analysis Systems, 2018, p. 49–54.
    [PDF] [Bibtex]
    @inproceedings{stauffer18graphbased,
    Author = {M. Stauffer and A. Fischer and K. Riesen},
    Booktitle = {Proc. 13th Int. Workshop on Document Analysis Systems},
    Date-Added = {2018-10-04 07:50:05 +0000},
    Date-Modified = {2018-10-04 07:50:57 +0000},
    Pages = {49--54},
    Title = {Graph-Based Keyword Spotting in Historical Documents Using Context-Aware Hausdorff Edit Distance},
    Year = {2018}}
  • M. Stauffer, A. Fischer, and K. Riesen, “Searching and Browsing in Historical Documents – State of the Art and Novel Approaches for Template-Based Keyword Spotting,” in Business Information Systems and Technology 4.0, R. Dornberger, Ed., Springer, 2018, vol. 141, p. 197–211.
    [PDF] [Bibtex]
    @incollection{stauffer18searching,
    Author = {M. Stauffer and A. Fischer and K. Riesen},
    Booktitle = {Business Information Systems and Technology 4.0},
    Date-Added = {2018-10-04 07:24:22 +0000},
    Date-Modified = {2018-10-04 07:28:11 +0000},
    Editor = {R. Dornberger},
    Pages = {197--211},
    Publisher = {Springer},
    Series = {Studies in Systems, Decision, and Control},
    Title = {Searching and Browsing in Historical Documents -- State of the Art and Novel Approaches for Template-Based Keyword Spotting},
    Volume = {141},
    Year = {2018}}
  • M. Stauffer, A. Fischer, and K. Riesen, “Keyword Spotting in Historical Handwritten Documents based on Graph Matching,” Pattern Recognition, vol. 81, p. 240–253, 2018.
    [PDF] [Bibtex]
    @article{stauffer18keyword,
    Author = {M. Stauffer and A. Fischer and K. Riesen},
    Date-Added = {2018-10-04 07:22:53 +0000},
    Date-Modified = {2018-10-04 07:23:44 +0000},
    Journal = {Pattern Recognition},
    Pages = {240--253},
    Title = {Keyword Spotting in Historical Handwritten Documents based on Graph Matching},
    Volume = {81},
    Year = {2018}}
  • M. Stauffer, A. Fischer, and K. Riesen, “Filters for Graph-Based Keyword Spotting in Historical Handwritten Documents,” Pattern Recognition Letters, vol. PP, p. 1–10, 2018.
    [PDF] [Bibtex]
    @article{stauffer18filters,
    Author = {M. Stauffer and A. Fischer and K. Riesen},
    Date-Added = {2018-10-04 07:21:31 +0000},
    Date-Modified = {2018-10-04 07:22:50 +0000},
    Journal = {Pattern Recognition Letters},
    Pages = {1--10},
    Title = {Filters for Graph-Based Keyword Spotting in Historical Handwritten Documents},
    Volume = {PP},
    Year = {2018}}
  • B. Wicht, A. Fischer, and J. Hennebert, “Seamless GPU Evaluation of Smart Expression Templates,” in 2018 International Conference on High Performance Computing Simulation (HPCS), 2018, pp. 196-203.
    [Website] [PDF] [Bibtex] [Abstract]
    @inproceedings{wicht2018gpu,
    author={B. {Wicht} and A. {Fischer} and J. {Hennebert}},
    booktitle={2018 International Conference on High Performance Computing Simulation (HPCS)},
    title={Seamless GPU Evaluation of Smart Expression Templates},
    year={2018},
    volume={},
    number={},
    pages={196-203},
    abstract={Expression Templates is a technique allowing to write linear algebra code in C++ the same way it would be written on paper. It is also used extensively as a performance optimization technique, especially as the Smart Expression Templates form which allows for even higher performance. It has proved to be very efficient for computation on a Central Processing Unit (CPU). However, due to its design, it is not easily implemented on a Graphics Processing Unit (GPU). In this paper, we devise a set of techniques to allow the seamless evaluation of Smart Expression Templates on the GPU. The execution is transparent for the user of the library which still uses the matrices and vector as if it was on the CPU and profits from the performance and higher multi-processing capabilities of the GPU. We also show that the GPU version is significantly faster than the CPU version, without any change to the code of the user.},
    keywords={C++ language;graphics processing units;matrix algebra;optimisation;parallel processing;software performance evaluation;CPU;seamless evaluation;GPU version;linear algebra code;performance optimization technique;central processing unit;graphics processing unit;GPU evaluation;multiprocessing capabilities;smart expression templates form;Graphics processing units;Kernel;Libraries;C++ languages;Runtime;Central Processing Unit;High performance computing},
    doi={10.1109/HPCS.2018.00045},
    ISSN={},
    month={July}
    }

    Expression Templates is a technique allowing to write linear algebra code in C++ the same way it would be written on paper. It is also used extensively as a performance optimization technique, especially as the Smart Expression Templates form which allows for even higher performance. It has proved to be very efficient for computation on a Central Processing Unit (CPU). However, due to its design, it is not easily implemented on a Graphics Processing Unit (GPU). In this paper, we devise a set of techniques to allow the seamless evaluation of Smart Expression Templates on the GPU. The execution is transparent for the user of the library which still uses the matrices and vector as if it was on the CPU and profits from the performance and higher multi-processing capabilities of the GPU. We also show that the GPU version is significantly faster than the CPU version, without any change to the code of the user.

  • B. Wicht, A. Fischer, and J. Hennebert, “DLL: A Fast Deep Neural Network Library,” in Artificial Neural Networks in Pattern Recognition, L. Pancionia, F. Schwenker, and E. Trentin, Eds., Springer International Publishing, 2018, p. 54–65.
    [Website] [PDF] [Bibtex]
    @inbook{wicht18dll,
    Author = {B. Wicht and A. Fischer and J. Hennebert},
    Booktitle = {Artificial Neural Networks in Pattern Recognition},
    Date-Added = {2018-10-04 07:29:50 +0000},
    Date-Modified = {2018-10-22 09:07:00 +0000},
    Editor = {Pancionia, Luca and Schwenker, Friedhelm and Trentin, Edmondo},
    Isbn = "978-3-319-99978-4",
    Doi = "10.1007/978-3-319-99978-4",
    Pages = {54--65},
    Publisher = {Springer International Publishing},
    Series = {Lecture Notes in Artificial Intelligence},
    Title = {{DLL}: A Fast Deep Neural Network Library},
    Year = {2018}}
  • M. Ameri, M. Stauffer, K. Riesen, T. Bui, and A. Fischer, “Keyword Spotting in Historical Documents Based on Handwriting Graphs and Hausdorff Edit Distance,” in Proc. 18th Conf. of the International Graphonomics Society, 2017.
    [Bibtex]
    @inproceedings{ameri17keyword,
    Author = {M. Ameri and M. Stauffer and K. Riesen and T. Bui and A. Fischer},
    Booktitle = {Proc. 18th Conf. of the International Graphonomics Society},
    Date-Added = {2018-01-15 15:25:58 +0000},
    Date-Modified = {2018-01-15 15:27:35 +0000},
    Title = {Keyword Spotting in Historical Documents Based on Handwriting Graphs and Hausdorff Edit Distance},
    Year = {2017}}
  • A. Fischer, K. Riesen, and H. Bunke, “Improved quadratic time approximation of graph edit distance by combining Hausdorff matching and greedy assignment,” Pattern Recognition Letters, vol. 87, p. 55–62, 2017.
    [Bibtex]
    @article{fischer17improved,
    Author = {Fischer, A. and Riesen, K. and Bunke, H.},
    Date-Added = {2017-01-15 10:44:16 +0000},
    Date-Modified = {2018-01-15 13:13:59 +0000},
    Journal = {Pattern Recognition Letters},
    Pages = {55--62},
    Title = {Improved quadratic time approximation of graph edit distance by combining {H}ausdorff matching and greedy assignment},
    Volume = {87},
    Year = {2017}}
  • A. Fischer and R. Plamondon, “Signature Verification Based on the Kinematic Theory of Rapid Human Movements,” IEEE Trans. on Human-Machine Systems, vol. 47, iss. 2, p. 169–180, 2017.
    [Bibtex]
    @article{fischer17signature,
    Author = {Fischer, A. and Plamondon, R.},
    Date-Added = {2017-01-15 10:37:55 +0000},
    Date-Modified = {2018-01-15 13:15:25 +0000},
    Journal = {IEEE Trans. on Human-Machine Systems},
    Number = {2},
    Pages = {169--180},
    Title = {Signature Verification Based on the Kinematic Theory of Rapid Human Movements},
    Volume = {47},
    Year = {2017}}
  • A. Garz, M. Seuret, A. Fischer, and R. Ingold, “A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs,” IEEE Trans. on Human-Machine Systems, vol. 47, iss. 2, p. 181–193, 2017.
    [Bibtex]
    @article{garz17auser,
    Author = {Garz, A. and Seuret, M. and Fischer, A. and Ingold, R.},
    Date-Added = {2017-01-15 10:33:14 +0000},
    Date-Modified = {2018-01-15 13:16:19 +0000},
    Journal = {IEEE Trans. on Human-Machine Systems},
    Number = {2},
    Pages = {181--193},
    Title = {A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs},
    Volume = {47},
    Year = {2017}}
  • A. Garz, F. Schuetz, A. Villa, R. Plamondon, and A. Fischer, “User Adaptation for Multi-Classifier Signature Verification Based on the Kinematic Theory,” in Proc. 18th Conf. of the International Graphonomics Society, 2017.
    [Bibtex]
    @inproceedings{garz17user,
    Author = {A. Garz and F. Schuetz and A. Villa and R. Plamondon and A. Fischer},
    Booktitle = {Proc. 18th Conf. of the International Graphonomics Society},
    Date-Added = {2018-01-15 13:54:52 +0000},
    Date-Modified = {2018-01-15 13:55:36 +0000},
    Title = {User Adaptation for Multi-Classifier Signature Verification Based on the Kinematic Theory},
    Year = {2017}}
  • P. Maergner, K. Riesen, R. Ingold, and A. Fischer, “A Structural Approach to Offline Signature Verification Using Graph Edit Distance,” in Proc. 14th Int. Conf. on Document Analysis and Recognition, 2017.
    [Bibtex]
    @inproceedings{maergner17astructural,
    Author = {P. Maergner and K. Riesen and R. Ingold and A. Fischer},
    Booktitle = {Proc. 14th Int. Conf. on Document Analysis and Recognition},
    Date-Added = {2018-01-15 15:26:33 +0000},
    Date-Modified = {2018-01-15 15:27:15 +0000},
    Title = {A Structural Approach to Offline Signature Verification Using Graph Edit Distance},
    Year = {2017}}
  • P. Maergner, K. Riesen, R. Ingold, and A. Fischer, “Offline Signature Verification Based on Bipartite Approximation of Graph Edit Distance,” in Proc. 18th Conf. of the International Graphonomics Society, 2017.
    [Bibtex]
    @inproceedings{maergner17offline,
    Author = {P. Maergner and K. Riesen and R. Ingold and A. Fischer},
    Booktitle = {Proc. 18th Conf. of the International Graphonomics Society},
    Date-Added = {2018-01-15 15:25:05 +0000},
    Date-Modified = {2018-01-15 15:25:51 +0000},
    Title = {Offline Signature Verification Based on Bipartite Approximation of Graph Edit Distance},
    Year = {2017}}
  • K. Riesen, A. Fischer, and H. Bunke, “Improved Graph Edit Distance Approximation with Simulated Annealing,” in Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition, 2017, p. 222–231.
    [Bibtex]
    @inproceedings{riesen17improved,
    Author = {Riesen, K. and Fischer, A. and Bunke, H.},
    Booktitle = {Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition},
    Date-Added = {2018-01-15 13:36:45 +0000},
    Date-Modified = {2018-01-15 13:37:58 +0000},
    Pages = {222--231},
    Title = {Improved Graph Edit Distance Approximation with Simulated Annealing},
    Year = {2017}}
  • K. Riesen, A. Fischer, and H. Bunke, “On the Impact of Using Utilities Rather than Costs for Graph Matching,” Neural Processing Letters, vol. PP, p. 1–17, 2017.
    [Bibtex]
    @article{riesen17ontheimpact,
    Author = {Riesen, K. and Fischer, A. and Bunke, H.},
    Date-Added = {2018-01-15 13:34:29 +0000},
    Date-Modified = {2018-01-15 13:35:25 +0000},
    Journal = {Neural Processing Letters},
    Pages = {1--17},
    Title = {On the Impact of Using Utilities Rather than Costs for Graph Matching},
    Volume = {PP},
    Year = {2017}}
  • M. Stauffer, A. Fischer, and K. Riesen, “Ensembles for Graph-based Keyword Spotting in Historical Handwritten Documents,” in Proc. 14th Int. Conf. on Document Analysis and Recognition, 2017.
    [Bibtex]
    @inproceedings{stauffer17ensembles,
    Author = {M. Stauffer and A. Fischer and K. Riesen},
    Booktitle = {Proc. 14th Int. Conf. on Document Analysis and Recognition},
    Date-Added = {2018-01-15 15:28:24 +0000},
    Date-Modified = {2018-01-15 15:28:57 +0000},
    Title = {Ensembles for Graph-based Keyword Spotting in Historical Handwritten Documents},
    Year = {2017}}
  • M. Stauffer, A. Fischer, and K. Riesen, “Speeding-Up Graph-based Keyword Spotting in Historical Handwritten Documents,” in Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition, 2017, p. 83–93.
    [Bibtex]
    @inproceedings{stauffer17speedingup,
    Author = {M. Stauffer and A. Fischer and K. Riesen},
    Booktitle = {Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition},
    Date-Added = {2018-01-15 13:53:08 +0000},
    Date-Modified = {2018-01-15 13:54:31 +0000},
    Pages = {83--93},
    Title = {Speeding-Up Graph-based Keyword Spotting in Historical Handwritten Documents},
    Year = {2017}}
  • M. Stauffer, T. Tschachtli, A. Fischer, and H. Bunke, “A Survey on Applications of Bipartite Graph Edit Distance,” in Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition, 2017, p. 242–252.
    [Bibtex]
    @inproceedings{stauffer17asurvey,
    Author = {Stauffer, M. and Tschachtli, T. and Fischer, A. and Bunke, H.},
    Booktitle = {Proc. 11th Int. Workshop on Graph-based Representations in Pattern Recognition},
    Date-Added = {2018-01-15 13:38:03 +0000},
    Date-Modified = {2018-01-15 13:39:30 +0000},
    Pages = {242--252},
    Title = {A Survey on Applications of Bipartite Graph Edit Distance},
    Year = {2017}}
  • M. Diaz, A. Fischer, M. A. Ferrer, and R. Plamondon, “Dynamic Signature Verification System Based on One Real Signature,” IEEE Trans. on Cybernetics, vol. PP, iss. 99, p. 1–12, 2016.
    [Bibtex]
    @article{diaz16dynamic,
    Author = {Diaz, M. and Fischer, A. and Ferrer, M.A. and Plamondon, R.},
    Date-Added = {2017-01-15 10:40:54 +0000},
    Date-Modified = {2017-01-15 10:42:20 +0000},
    Journal = {IEEE Trans. on Cybernetics},
    Number = {99},
    Pages = {1--12},
    Title = {Dynamic Signature Verification System Based on One Real Signature},
    Volume = {PP},
    Year = {2016}}
  • A. Fischer, K. Riesen, and H. Bunke, “Improved quadratic time approximation of graph edit distance by combining Hausdorff matching and greedy assignment,” Pattern Recognition Letters, vol. PP, iss. 99, p. 1–8, 2016.
    [Bibtex]
    @article{fischer16improved,
    Author = {Fischer, A. and Riesen, K. and Bunke, H.},
    Date-Added = {2017-01-15 10:44:16 +0000},
    Date-Modified = {2017-01-15 10:44:55 +0000},
    Journal = {Pattern Recognition Letters},
    Number = {99},
    Pages = {1--8},
    Title = {Improved quadratic time approximation of graph edit distance by combining {H}ausdorff matching and greedy assignment},
    Volume = {PP},
    Year = {2016}}
  • A. Fischer and R. Plamondon, “Signature Verification Based on the Kinematic Theory of Rapid Human Movements,” IEEE Trans. on Human-Machine Systems, vol. PP, iss. 99, p. 1–12, 2016.
    [Bibtex]
    @article{fischer16signature,
    Author = {Fischer, A. and Plamondon, R.},
    Date-Added = {2017-01-15 10:37:55 +0000},
    Date-Modified = {2017-01-15 10:39:59 +0000},
    Journal = {IEEE Trans. on Human-Machine Systems},
    Number = {99},
    Pages = {1--12},
    Title = {Signature Verification Based on the Kinematic Theory of Rapid Human Movements},
    Volume = {PP},
    Year = {2016}}
  • A. Fischer, S. Grimm, V. Bernasconi, A. Garz, P. Buchs, M. Caon, O. A. Khaled, E. Mugellini, F. Meyer, and C. Wagner, “Nautilus: Real-Time Interaction Between Dancers and Augmented Reality with Pixel-Cloud Avatars,” in Proc. 28ième confèrence francophone sur l’Interaction Homme-Machine, 2016, pp. 50-57.
    [Bibtex]
    @inproceedings{fischer16nautilus,
    Author = {Fischer, Andreas and Grimm, Sara and Bernasconi, Valentine and Garz, Angelika and Buchs, Pascal and Caon, Maurizio and Khaled, Omar Abou and Mugellini, Elena and Meyer, Franziska and Wagner, Claudia},
    Booktitle = {Proc. 28i{\`e}me conf{\`e}rence francophone sur l'Interaction Homme-Machine},
    Date-Added = {2017-01-16 12:33:38 +0000},
    Date-Modified = {2017-01-16 12:36:12 +0000},
    Pages = {50-57},
    Title = {Nautilus: Real-Time Interaction Between Dancers and Augmented Reality with Pixel-Cloud Avatars},
    Year = {2016}}
  • A. Garz, M. Seuret, A. Fischer, and R. Ingold, “A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs,” IEEE Trans. on Human-Machine Systems, vol. PP, iss. 99, p. 1–13, 2016.
    [Bibtex]
    @article{garz16auser,
    Author = {Garz, A. and Seuret, M. and Fischer, A. and Ingold, R.},
    Date-Added = {2017-01-15 10:33:14 +0000},
    Date-Modified = {2017-01-15 10:36:56 +0000},
    Journal = {IEEE Trans. on Human-Machine Systems},
    Number = {99},
    Pages = {1--13},
    Title = {A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs},
    Volume = {PP},
    Year = {2016}}
  • A. Garz, M. Seuret, F. Simistira, A. Fischer, and R. Ingold, “Creating ground truth for historical manuscripts with document graphs and scribbling interaction,” in Proc. 12th Int. Workshop on Document Analysis Systems, 2016, p. 126–131.
    [Bibtex]
    @inproceedings{garz16creating,
    Author = {Garz, A. and Seuret, M. and Simistira, F. and Fischer, A. and Ingold, R.},
    Booktitle = {Proc. 12th Int. Workshop on Document Analysis Systems},
    Date-Added = {2017-01-16 12:29:10 +0000},
    Date-Modified = {2018-01-15 13:20:44 +0000},
    Pages = {126--131},
    Title = {Creating ground truth for historical manuscripts with document graphs and scribbling interaction},
    Year = {2016}}
  • A. Garz, M. Würsch, A. Fischer, and R. Ingold, “Simple and Fast Geometrical Descriptors for Writer Identification,” in Proc. 23rd Int. Conf. on Document Recognition and Retrieval, 2016, p. 1–12.
    [Bibtex]
    @inproceedings{garz16simple,
    Author = {Garz, A. and W{\"u}rsch, M. and Fischer, A. and Ingold, R.},
    Booktitle = {Proc. 23rd Int. Conf. on Document Recognition and Retrieval},
    Date-Added = {2017-01-16 12:29:23 +0000},
    Date-Modified = {2017-01-16 12:32:58 +0000},
    Pages = {1--12},
    Title = {Simple and Fast Geometrical Descriptors for Writer Identification},
    Year = {2016}}
  • A. Garz, M. Seuret, A. Fischer, and R. Ingold, “GraphManuscribble: Interact intuitively with digital facsimiles,” in Proc. 2nd Int. Conf. on Natural Sciences and Technology in Manuscript Analysis, 2016, p. 61–63.
    [Bibtex]
    @inproceedings{garz16graphmanuscribble,
    Author = {A. Garz and M. Seuret and A. Fischer and R. Ingold},
    Booktitle = {Proc. 2nd Int. Conf. on Natural Sciences and Technology in Manuscript Analysis},
    Date-Added = {2018-01-15 13:26:18 +0000},
    Date-Modified = {2018-01-15 13:27:31 +0000},
    Pages = {61--63},
    Title = {GraphManuscribble: Interact intuitively with digital facsimiles},
    Year = {2016}}
  • N. R. Howe, A. Fischer, and B. Wicht, “Inkball Models as Features for Handwriting Recognition,” in 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2016, pp. 96-101.
    [Website] [PDF] [Bibtex] [Abstract]
    @INPROCEEDINGS{2016howeicfhr,
    author={N. R. Howe and A. Fischer and B. Wicht},
    booktitle={2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)},
    title={Inkball Models as Features for Handwriting Recognition},
    year={2016},
    pages={96-101},
    abstract={Inkball models provide a tool for matching and comparison of spatially structured markings such as handwritten characters and words. Hidden Markov models offer a framework for decoding a stream of text in terms of the most likely sequence of causal states. Prior work with HMM has relied on observation of features that are correlated with underlying characters, without modeling them directly. This paper proposes to use the results of inkball-based character matching as a feature set input directly to the HMM. Experiments indicate that this technique outperforms other tested methods at handwritten word recognition on a common benchmark when applied without normalization or text deslanting.},
    keywords={Computational modeling;Handwriting recognition;Hidden Markov models;Mathematical model;Prototypes;Skeleton;Two dimensional displays;Handwriting recognition;Hidden Markov models;Image processing;Pattern recognition},
    doi={10.1109/ICFHR.2016.0030},
    ISSN={2167-6445},
    month={Oct},}

    Inkball models provide a tool for matching and comparison of spatially structured markings such as handwritten characters and words. Hidden Markov models offer a framework for decoding a stream of text in terms of the most likely sequence of causal states. Prior work with HMM has relied on observation of features that are correlated with underlying characters, without modeling them directly. This paper proposes to use the results of inkball-based character matching as a feature set input directly to the HMM. Experiments indicate that this technique outperforms other tested methods at handwritten word recognition on a common benchmark when applied without normalization or text deslanting.

  • K. Riesen, A. Fischer, and H. Bunke, “Approximation of Graph Edit Distance by Means of a Utility Matrix,” in Proc. 7th Int. Workshop on Artificial Neural Networks in Pattern Recognition, 2016, p. 185–194.
    [Bibtex]
    @inproceedings{riesen16approximation,
    Author = {Riesen, K. and Fischer, A. and Bunke, H.},
    Booktitle = {Proc. 7th Int. Workshop on Artificial Neural Networks in Pattern Recognition},
    Date-Added = {2017-01-15 10:24:15 +0000},
    Date-Modified = {2017-01-15 10:25:50 +0000},
    Pages = {185--194},
    Title = {Approximation of Graph Edit Distance by Means of a Utility Matrix},
    Year = {2016}}
  • M. Stauffer, A. Fischer, and K. Riesen, “A Novel Graph Database for Handwritten Word Images,” in Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition, 2016, p. 553–563.
    [Bibtex]
    @inproceedings{stauffer16anovel,
    Author = {Stauffer, M. and Fischer, A. and Riesen, K.},
    Booktitle = {Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition},
    Date-Added = {2017-01-15 10:19:52 +0000},
    Date-Modified = {2017-01-15 10:21:23 +0000},
    Pages = {553--563},
    Title = {A Novel Graph Database for Handwritten Word Images},
    Year = {2016}}
  • M. Stauffer, A. Fischer, and K. Riesen, “Graph-Based Keyword Spotting in Historical Handwritten Documents,” in Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition, 2016, p. 564–573.
    [Bibtex]
    @inproceedings{stauffer16graphbased,
    Author = {Stauffer, M. and Fischer, A. and Riesen, K.},
    Booktitle = {Proc. Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition},
    Date-Added = {2017-01-15 10:16:12 +0000},
    Date-Modified = {2017-01-15 10:19:36 +0000},
    Pages = {564--573},
    Title = {Graph-Based Keyword Spotting in Historical Handwritten Documents},
    Year = {2016}}
  • B. Wicht, A. Fischer, and J. Hennebert, “Deep Learning Features for Handwritten Keyword Spotting,” in 23rd International Conference on Pattern Recognition (ICPR), 2016, pp. 3423-3428.
    [Bibtex] [Abstract]
    @conference{wicht:icpr2016,
    author = "Baptiste Wicht and Andreas Fischer and Jean Hennebert",
    abstract = "Deep learning had a significant impact on diverse pattern recognition tasks in the recent past. In this paper, we investigate its potential for keyword spotting in handwritten documents by designing a novel feature extraction system based on Convolutional Deep Belief Networks. Sliding window features are learned from word images in an unsupervised manner. The proposed features are evaluated both for template-based word spotting with Dynamic Time Warping and for learning-based word spotting with Hidden Markov Models. In an experimental evaluation on three benchmark data sets with historical and modern handwriting, it is shown that the proposed learned features outperform three standard sets of handcrafted features.",
    booktitle = "23rd International Conference on Pattern Recognition (ICPR)",
    editor = "IEEE",
    keywords = "Handwriting Recognition, Deep learning, Artificial neural networks, keyword spotting",
    month = "December",
    note = "Some of the files below are copyrighted. They are provided for your convenience, yet you may download them only if you are entitled to do so by your arrangements with the various publishers.",
    pages = "3423-3428",
    title = "{D}eep {L}earning {F}eatures for {H}andwritten {K}eyword {S}potting",
    url = "http://www.hennebert.org/download/publications/icpr-2016-deep-learning-features-for-handwritten-keyword-spotting.pdf",
    year = "2016",
    }

    Deep learning had a significant impact on diverse pattern recognition tasks in the recent past. In this paper, we investigate its potential for keyword spotting in handwritten documents by designing a novel feature extraction system based on Convolutional Deep Belief Networks. Sliding window features are learned from word images in an unsupervised manner. The proposed features are evaluated both for template-based word spotting with Dynamic Time Warping and for learning-based word spotting with Hidden Markov Models. In an experimental evaluation on three benchmark data sets with historical and modern handwriting, it is shown that the proposed learned features outperform three standard sets of handcrafted features.

  • B. Wicht, A. Fischer, and J. Hennebert, “On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM,” in Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings, F. Schwenker, H. M. Abbas, N. El Gayar, and E. Trentin, Eds., Cham: Springer International Publishing, 2016, p. 163–174.
    [Website] [Bibtex]
    @inbook{wicht:2016annpr,
    author = "Baptiste Wicht and Andreas Fischer and Jean Hennebert",
    address = "Cham",
    booktitle = "Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28--30, 2016, Proceedings",
    doi = "10.1007/978-3-319-46182-3_14",
    editor = "Schwenker, Friedhelm
    and Abbas, M. Hazem
    and El Gayar, Neamat
    and Trentin, Edmondo",
    isbn = "978-3-319-46182-3",
    pages = "163--174",
    publisher = "Springer International Publishing",
    title = "{O}n {CPU} {P}erformance {O}ptimization of {R}estricted {B}oltzmann {M}achine and {C}onvolutional {RBM}",
    url = "http://dx.doi.org/10.1007/978-3-319-46182-3_14",
    year = "2016",
    }
  • B. Wicht, A. Fischer, and J. Hennebert, “Keyword Spotting with Convolutional Deep Belief Networks and Dynamic Time Warping,” in Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II, A. E. P. Villa, P. Masulli, and A. J. Pons Rivero, Eds., Cham: Springer International Publishing, 2016, p. 113–120.
    [Website] [Bibtex]
    @Inbook{wicht:2016icann,
    author="Wicht, Baptiste
    and Fischer, Andreas
    and Hennebert, Jean",
    editor="Villa, Alessandro E.P.
    and Masulli, Paolo
    and Pons Rivero, Antonio Javier",
    title="Keyword Spotting with Convolutional Deep Belief Networks and Dynamic Time Warping",
    bookTitle="Artificial Neural Networks and Machine Learning -- ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II",
    year="2016",
    publisher="Springer International Publishing",
    address="Cham",
    pages="113--120",
    isbn="978-3-319-44781-0",
    doi="10.1007/978-3-319-44781-0_14",
    url="http://dx.doi.org/10.1007/978-3-319-44781-0_14"
    }
  • A. Bou Hernandez, A. Fischer, and R. Plamondon, “Omega-Lognormal Analysis of Oscillatory Movements as a Function of Brain Stroke Risk Factors,” in Proc. 17th Conf. of the International Graphonomics Society, 2015, p. 59–62.
    [Bibtex]
    @inproceedings{bou15omega,
    Author = {A. {Bou Hernandez} and A. Fischer and R. Plamondon},
    Booktitle = {Proc. 17th Conf. of the International Graphonomics Society},
    Date-Added = {2017-01-17 10:41:35 +0000},
    Date-Modified = {2017-01-17 10:41:35 +0000},
    Pages = {59--62},
    Title = {Omega-Lognormal Analysis of Oscillatory Movements as a Function of Brain Stroke Risk Factors},
    Year = {2015}}
  • M. Diaz-Cabrera, A. Fischer, R. Plamondon, and M. A. Ferrer, “Towards an On-line Automatic Signature Verifier Using Only One Reference Per Signer,” in Proc. 13th Int. Conf. on Document Analysis and Recognition, 2015, p. 631–635.
    [Bibtex]
    @inproceedings{diaz15towards,
    Author = {Diaz-Cabrera, M. and Fischer, A. and Plamondon, R. and Ferrer, M.A.},
    Booktitle = {Proc. 13th Int. Conf. on Document Analysis and Recognition},
    Date-Added = {2017-01-16 23:38:18 +0000},
    Date-Modified = {2017-01-16 23:38:18 +0000},
    Pages = {631--635},
    Title = {Towards an On-line Automatic Signature Verifier Using Only One Reference Per Signer},
    Year = {2015}}
  • A. Fischer and R. Plamondon, “A Dissimilarity Measure for On-Line Signature Verification Based on the Sigma-Lognormal Model,” in Proc. 17th Conf. of the International Graphonomics Society, 2015, p. 83–86.
    [Bibtex]
    @inproceedings{fischer15adissimilarity,
    Author = {A. Fischer and R. Plamondon},
    Booktitle = {Proc. 17th Conf. of the International Graphonomics Society},
    Date-Added = {2017-01-17 10:41:47 +0000},
    Date-Modified = {2017-01-17 10:41:47 +0000},
    Pages = {83--86},
    Title = {A Dissimilarity Measure for On-Line Signature Verification Based on the Sigma-Lognormal Model},
    Year = {2015}}
  • A. Fischer, S. Uchida, V. Frinken, K. Riesen, and H. Bunke, “Improving Hausdorff edit distance using structural node context,” in Proc. 10th Int. Workshop on Graph-based Representations in Pattern Recognition, 2015, p. 148–157.
    [Bibtex]
    @inproceedings{fischer15improving,
    Author = {A. Fischer and S. Uchida and V. Frinken and K. Riesen and H. Bunke},
    Booktitle = {Proc. 10th Int. Workshop on Graph-based Representations in Pattern Recognition},
    Date-Added = {2017-01-17 10:41:03 +0000},
    Date-Modified = {2017-01-17 10:41:03 +0000},
    Pages = {148--157},
    Title = {Improving {H}ausdorff edit distance using structural node context},
    Year = {2015}}
  • A. Fischer, M. Diaz-Cabrera, R. Plamondon, and M. A. Ferrer, “Robust Score Normalization for DTW-Based On-Line Signature Verification,” in Proc. 13th Int. Conf. on Document Analysis and Recognition, 2015, p. 241–245.
    [Bibtex]
    @inproceedings{fischer15robust,
    Author = {Fischer, A. and Diaz-Cabrera, M. and Plamondon, R. and Ferrer, M.A.},
    Booktitle = {Proc. 13th Int. Conf. on Document Analysis and Recognition},
    Date-Added = {2017-01-16 23:38:37 +0000},
    Date-Modified = {2017-01-16 23:38:37 +0000},
    Pages = {241--245},
    Title = {Robust Score Normalization for {DTW}-Based On-Line Signature Verification},
    Year = {2015}}
  • K. Riesen, M. Ferrer, A. Fischer, and H. Bunke, “Approximation of graph edit distance in quadratic time,” in Proc. 10th Int. Workshop on Graph-based Representations in Pattern Recognition, 2015, p. 3–12.
    [Bibtex]
    @inproceedings{riesen15approximation,
    Author = {K. Riesen and M. Ferrer and A. Fischer and H. Bunke},
    Booktitle = {Proc. 10th Int. Workshop on Graph-based Representations in Pattern Recognition},
    Date-Added = {2017-01-17 10:41:22 +0000},
    Date-Modified = {2017-01-17 10:41:22 +0000},
    Pages = {3--12},
    Title = {Approximation of graph edit distance in quadratic time},
    Year = {2015}}
  • M. Seuret, A. Fischer, A. Garz, M. Liwicki, and R. Ingold, “Clustering Historical Documents Based on the Reconstruction Error of Autoencoders,” in Proc. 3rd Int. Workshop on Historical Document Imaging and Processing, 2015, p. 85–91.
    [Bibtex]
    @inproceedings{seuret15clustering,
    Author = {Seuret, M. and Fischer, A. and Garz, A. and Liwicki, M. and Ingold, R.},
    Booktitle = {Proc. 3rd Int. Workshop on Historical Document Imaging and Processing},
    Date-Added = {2017-01-17 09:37:18 +0000},
    Date-Modified = {2017-01-17 10:39:35 +0000},
    Pages = {85--91},
    Title = {Clustering Historical Documents Based on the Reconstruction Error of Autoencoders},
    Year = {2015}}
  • H. Wei, M. Seuret, K. Chen, A. Fischer, M. Liwicki, and R. Ingold, “Selecting Autoencoder Features for Layout Analysis of Historical Documents,” in Proc. 3rd Int. Workshop on Historical Document Imaging and Processing, 2015, p. 55–62.
    [Bibtex]
    @inproceedings{wei15selecting,
    Author = {Wei, H. and Seuret, M. and Chen, K. and Fischer, A. and Liwicki, M. and Ingold, R.},
    Booktitle = {Proc. 3rd Int. Workshop on Historical Document Imaging and Processing},
    Date-Added = {2017-01-17 10:38:06 +0000},
    Date-Modified = {2017-01-17 10:39:57 +0000},
    Pages = {55--62},
    Title = {Selecting Autoencoder Features for Layout Analysis of Historical Documents},
    Year = {2015}}