| 2008 |
|---|
| 64 | EE | Adrian Ulges,
Christian Schulze,
Daniel Keysers,
Thomas M. Breuel:
A System That Learns to Tag Videos by Watching Youtube.
ICVS 2008: 415-424 |
| 63 | EE | Faisal Shafait,
Daniel Keysers,
Thomas M. Breuel:
Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 941-954 (2008) |
| 62 | EE | Thomas Deselaers,
Daniel Keysers,
Hermann Ney:
Features for image retrieval: an experimental comparison.
Inf. Retr. 11(2): 77-107 (2008) |
| 2007 |
|---|
| 61 | EE | Daniel Keysers,
Marius Renn,
Thomas M. Breuel:
Improving accessibility of html documents bygenerating image-tags in a proxy.
ASSETS 2007: 249-250 |
| 60 | EE | Adrian Ulges,
Christoph H. Lampert,
Daniel Keysers,
Thomas M. Breuel:
Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space.
DAGM-Symposium 2007: 204-213 |
| 59 | EE | M. Kramer,
H. Kaprykowsky,
Daniel Keysers,
Thomas M. Breuel:
Bibliographic Meta-Data Extraction Using Probabilistic Finite State Transducers.
ICDAR 2007: 609-613 |
| 58 | EE | Joost van Beusekom,
Daniel Keysers,
Faisal Shafait,
Thomas M. Breuel:
Example-Based Logical Labeling of Document Title Page Images.
ICDAR 2007: 919-923 |
| 57 | EE | Faisal Shafait,
Joost van Beusekom,
Daniel Keysers,
Thomas M. Breuel:
Page Frame Detection for Marginal Noise Removal from Scanned Documents.
SCIA 2007: 651-660 |
| 56 | | Daniel Keysers,
Faisal Shafait,
Thomas M. Breuel:
Document image zone classification - a simple high-performance approach.
VISAPP (2) 2007: 44-51 |
| 55 | EE | Daniel Keysers:
Comparison and Combination of State-of-the-art Techniques for Handwritten Character Recognition: Topping the MNIST Benchmark
CoRR abs/0710.2231: (2007) |
| 54 | EE | Daniel Keysers,
Thomas Deselaers,
Christian Gollan,
Hermann Ney:
Deformation Models for Image Recognition.
IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1422-1435 (2007) |
| 2006 |
|---|
| 53 | EE | Thomas Deselaers,
Andre Hegerath,
Daniel Keysers,
Hermann Ney:
Sparse Patch-Histograms for Object Classification in Cluttered Images.
DAGM-Symposium 2006: 202-211 |
| 52 | EE | Joost van Beusekom,
Daniel Keysers,
Faisal Shafait,
Thomas M. Breuel:
Distance Measures for Layout-Based Document Image Retrieval.
DIAL 2006: 232-242 |
| 51 | EE | Faisal Shafait,
Daniel Keysers,
Thomas M. Breuel:
Performance Comparison of Six Algorithms for Page Segmentation.
Document Analysis Systems 2006: 368-379 |
| 50 | EE | Philippe Dreuw,
Thomas Deselaers,
David Rybach,
Daniel Keysers,
Hermann Ney:
Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition.
FG 2006: 293-298 |
| 49 | EE | Faisal Shafait,
Daniel Keysers,
Thomas M. Breuel:
Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images.
ICPR (1) 2006: 872-875 |
| 2005 |
|---|
| 48 | EE | Thomas Deselaers,
Tobias Weyand,
Daniel Keysers,
Wolfgang Macherey,
Hermann Ney:
FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval.
CLEF 2005: 652-661 |
| 47 | EE | Thomas Deselaers,
Daniel Keysers,
Hermann Ney:
Discriminative Training for Object Recognition Using Image Patches.
CVPR (2) 2005: 157-162 |
| 46 | EE | Thomas Deselaers,
Daniel Keysers,
Hermann Ney:
Improving a Discriminative Approach to Object Recognition Using Image Patches.
DAGM-Symposium 2005: 326-333 |
| 45 | EE | Morteza Zahedi,
Daniel Keysers,
Thomas Deselaers,
Hermann Ney:
Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition.
DAGM-Symposium 2005: 401-408 |
| 44 | EE | Daniel Keysers,
Thomas M. Breuel:
Optimal Line and Arc Detection on Run-Length Representations.
GREC 2005: 369-380 |
| 43 | EE | Philippe Dreuw,
Daniel Keysers,
Thomas Deselaers,
Hermann Ney:
Gesture Recognition Using Image Comparison Methods.
Gesture Workshop 2005: 124-128 |
| 42 | EE | Morteza Zahedi,
Daniel Keysers,
Hermann Ney:
Pronunciation Clustering and Modeling of Variability for Appearance-Based Sign Language Recognition.
Gesture Workshop 2005: 68-79 |
| 41 | EE | Morteza Zahedi,
Daniel Keysers,
Hermann Ney:
Appearance-Based Recognition of Words in American Sign Language.
IbPRIA (1) 2005: 511-519 |
| 40 | EE | Mark Everingham,
Andrew Zisserman,
Christopher K. I. Williams,
Luc J. Van Gool,
Moray Allan,
Christopher M. Bishop,
Olivier Chapelle,
Navneet Dalal,
Thomas Deselaers,
Gyuri Dorkó,
Stefan Duffner,
Jan Eichhorn,
Jason D. R. Farquhar,
Mario Fritz,
Christophe Garcia,
Tom Griffiths,
Frédéric Jurie,
Daniel Keysers,
Markus Koskela,
Jorma Laaksonen,
Diane Larlus,
Bastian Leibe,
Hongying Meng,
Hermann Ney,
Bernt Schiele,
Cordelia Schmid,
Edgar Seemann,
John Shawe-Taylor,
Amos J. Storkey,
Sándor Szedmák,
Bill Triggs,
Ilkay Ulusoy,
Ville Viitaniemi,
Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge.
MLCW 2005: 117-176 |
| 2004 |
|---|
| 39 | EE | Daniel Keysers,
Christian Gollan,
Hermann Ney:
Classification of Medical Images using Non-linear Distortion Models.
Bildverarbeitung für die Medizin 2004: 366-370 |
| 38 | EE | Thomas Deselaers,
Daniel Keysers,
Hermann Ney:
FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation.
CLEF 2004: 688-698 |
| 37 | EE | Daniel Keysers,
Thomas Deselaers,
Hermann Ney:
Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching.
DAGM-Symposium 2004: 154-162 |
| 36 | EE | Thomas Deselaers,
Daniel Keysers,
Hermann Ney:
Features for Image Retrieval: A Quantitative Comparison.
DAGM-Symposium 2004: 228-236 |
| 35 | EE | Daniel Keysers,
Hermann Ney:
Linear Discriminant Analysis and Discriminative Log-linear Modeling.
ICPR (1) 2004: 156-159 |
| 34 | EE | Tobias Kölsch,
Daniel Keysers,
Hermann Ney,
Roberto Paredes:
Enhancements for Local Feature Based Image Classification.
ICPR (1) 2004: 248-251 |
| 33 | EE | Thomas Deselaers,
Daniel Keysers,
Hermann Ney:
Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems.
ICPR (2) 2004: 505-508 |
| 32 | EE | Daniel Keysers,
Christian Gollan,
Hermann Ney:
Local Context in Non-Linear Deformation Models for Handwritten Character Recognition.
ICPR (4) 2004: 511-514 |
| 31 | EE | Thomas Martin Lehmann,
Mark Oliver Güld,
Daniel Keysers,
Thomas Deselaers,
Henning Schubert,
Berthold B. Wein,
Klaus Spitzer:
Similarity of Medical Images Computed from Global Feature Vectors for Content-Based Retrieval.
KES 2004: 989-995 |
| 30 | EE | Daniel Keysers,
Wolfgang Macherey,
Hermann Ney,
Jörg Dahmen:
Adaptation in Statistical Pattern Recognition Using Tangent Vectors.
IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 269-274 (2004) |
| 29 | EE | Alejandro Hector Toselli,
Alfons Juan,
Jorge González,
Ismael Salvador,
Enrique Vidal,
Francisco Casacuberta,
Daniel Keysers,
Hermann Ney:
Integrated Handwriting Recognition And Interpretation Using Finite-State Models.
IJPRAI 18(4): 519-539 (2004) |
| 2003 |
|---|
| 28 | EE | Christian Thies,
Michael Kohnen,
Daniel Keysers,
Thomas Martin Lehmann:
Synthese von regionen- und kantenorientierter parameterfreien Erzeugung von Multiskalengraphen mittels Region Growing.
Bildverarbeitung für die Medizin 2003: 151-155 |
| 27 | EE | Bartosz Plodowski,
Mark Oliver Güld,
Henning Schubert,
Daniel Keysers,
Thomas Martin Lehmann:
Modulares Design von webbasierten Benutzerschnittstellen für inhaltsbasierte Zugriffe auf medizinische Bilddaten.
Bildverarbeitung für die Medizin 2003: 383-387 |
| 26 | EE | Mark Oliver Güld,
Henning Schubert,
Marcel Leisten,
Bartosz Plodowski,
Benedikt Fischer,
Daniel Keysers,
Thomas Martin Lehmann:
Automatische Kategorisierung von medizinischem Bildmaterial in einen multiaxialen monohierarchischen Code.
Bildverarbeitung für die Medizin 2003: 388-392 |
| 25 | EE | Thomas Deselaers,
Daniel Keysers,
Roberto Paredes,
Enrique Vidal,
Hermann Ney:
Local Representations for Multi-object Recognition.
DAGM-Symposium 2003: 305-312 |
| 24 | EE | Daniel Keysers,
Michael Motter,
Thomas Deselaers,
Hermann Ney:
Training and Recognition of Complex Scenes Using a Holistic Statistical Model.
DAGM-Symposium 2003: 52-59 |
| 23 | EE | Daniel Keysers,
Roberto Paredes,
Enrique Vidal,
Hermann Ney:
Comparison of Log-linear Models and Weighted Dissimilarity Measures.
IbPRIA 2003: 370-377 |
| 22 | | Mark Oliver Güld,
Christian Thies,
Benedikt Fischer,
Daniel Keysers,
Berthold B. Wein,
Thomas Martin Lehmann:
Platform for distributed image processing and image retrieval.
VCIP 2003: 1109-1120 |
| 21 | EE | Daniel Keysers,
Walter Unger:
Elastic image matching is NP-complete.
Pattern Recognition Letters 24(1-3): 445-453 (2003) |
| 20 | EE | Sirko Molau,
Daniel Keysers,
Hermann Ney:
Matching training and test data distributions for robust speech recognition.
Speech Communication 41(4): 579-601 (2003) |
| 2002 |
|---|
| 19 | | Roberto Paredes,
Daniel Keysers,
Thomas Martin Lehmann,
Berthold B. Wein,
Hermann Ney,
Enrique Vidal:
Classification of Medical Images Using local Representations.
Bildverarbeitung für die Medizin 2002: 171-174 |
| 18 | | Mark Oliver Güld,
Jörg Bredno,
Daniel Keysers,
Michael Kohnen,
Christian Thies,
Henning Schubert,
Berthold B. Wein,
Thomas Martin Lehmann:
Eine verteilte Systemarchitektur für IRMA: (Image Retrieval in Medical Applications).
Bildverarbeitung für die Medizin 2002: 175-178 |
| 17 | | Daniel Keysers,
Sami Celik,
Henning Braess,
Jörg Dahmen,
Hermann Ney:
Parameter Estimation for Automatic Dose Control in Radioscopy.
Bildverarbeitung für die Medizin 2002: 279-282 |
| 16 | | Thomas Martin Lehmann,
Sascha Goudarzi,
Nick I. Linnenbrügger,
Daniel Keysers,
Berthold B. Wein:
Lokalisation und Delineation des Kollimatorfeldes in digitalen und Film-basierten röntgenbildern.
Bildverarbeitung für die Medizin 2002: 51-54 |
| 15 | EE | Daniel Keysers,
Franz Josef Och,
Hermann Ney:
Maximum Entropy and Gaussian Models for Image Object Recognition.
DAGM-Symposium 2002: 498-506 |
| 14 | EE | Bernard Haasdonk,
Daniel Keysers:
Tangent Distance Kernels for Support Vector Machines.
ICPR (2) 2002: 864-868 |
| 13 | EE | Roberto Paredes Palacios,
Enrique Vidal,
Daniel Keysers:
An Evaluation of the WPE Algorithm Using Tangent Distance.
ICPR (4) 2002: 48-51 |
| 12 | EE | Thomas Martin Lehmann,
Berthold B. Wein,
Daniel Keysers,
Michael Kohnen,
Henning Schubert:
A monohierarchical multiaxial classification code for medical images in content-based retrieval.
ISBI 2002: 313-316 |
| 11 | | Mark Oliver Güld,
Berthold B. Wein,
Daniel Keysers,
Christian Thies,
Michael Kohnen,
Henning Schubert,
Thomas Martin Lehmann:
A Distributed Architecture for Content-Based Image Retrieval in Medical Applications.
PRIS 2002: 299-314 |
| 10 | EE | Daniel Keysers,
Roberto Paredes,
Hermann Ney,
Enrique Vidal:
Combination of Tangent Vectors and Local Representations for Handwritten Digit Recognition.
SSPR/SPR 2002: 538-547 |
| 2001 |
|---|
| 9 | | Jörg Dahmen,
Daniel Keysers,
Michael Motter,
Hermann Ney,
Thomas Martin Lehmann,
Berthold B. Wein:
An Automatic Approach to Invariant Radiograph Classification.
Bildverarbeitung für die Medizin 2001: 337-341 |
| 8 | | Daniel Keysers,
Jörg Dahmen,
Hermann Ney:
Invariant Classification of Red Blood Cells: A Comparison of Different Approaches.
Bildverarbeitung für die Medizin 2001: 367-371 |
| 7 | EE | Daniel Keysers,
Wolfgang Macherey,
Jörg Dahmen,
Hermann Ney:
Learning of Variability for Invariant Statistical Pattern Recognition.
ECML 2001: 263-275 |
| 6 | EE | Jörg Dahmen,
Daniel Keysers,
Hermann Ney:
Combined Classification of Handwritten Digits Using the 'Virtual Test Sample Method'.
Multiple Classifier Systems 2001: 109-118 |
| 5 | | Jörg Dahmen,
Daniel Keysers,
Hermann Ney,
Mark Oliver Güld:
Statistical Image Object Recognition using Mixture Densities.
Journal of Mathematical Imaging and Vision 14(3): 285-296 (2001) |
| 2000 |
|---|
| 4 | | Daniel Keysers,
Jörg Dahmen,
Hermann Ney:
A Probabilistic View on Tangent Distance.
DAGM-Symposium 2000: 107-114 |
| 3 | | Jörg Dahmen,
Daniel Keysers,
M. Pitz,
Hermann Ney:
Structured Covariance Matrices for Statistical Image Object Recognition.
DAGM-Symposium 2000: 99-106 |
| 2 | EE | Daniel Keysers,
Jörg Dahmen,
Thomas Theiner,
Hermann Ney:
Experiments with an Extended Tangent Distance.
ICPR 2000: 2038-2042 |
| 1 | EE | Jörg Dahmen,
Daniel Keysers,
Mark Oliver Güld,
Hermann Ney:
Invariant Image Object Recognition Using Mixture Densities.
ICPR 2000: 2614-2617 |
