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Hermann Ney: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ismael García-Varea, Franz Josef Och, Hermann Ney, Francisco Casacuberta
    Refined Lexikon Models for Statistical Machine Translation Using a Maximum Entropy Approach. [Citation Graph (0, 0)][DBLP]
    ACL, 2001, pp:204-211 [Conf]
  2. Stephan Kanthak, Hermann Ney
    FSA: An Efficient and Flexible C++ Toolkit for Finite State Automata Using On-Demand Computation. [Citation Graph (0, 0)][DBLP]
    ACL, 2004, pp:510-517 [Conf]
  3. Shahram Khadivi, Richard Zens, Hermann Ney
    Integration of Speech to Computer-Assisted Translation Using Finite-State Automata. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  4. Sonja Nießen, Stephan Vogel, Hermann Ney, Christoph Tillmann
    A DP based Search Algorithm for Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    COLING-ACL, 1998, pp:960-967 [Conf]
  5. Franz Josef Och, Hermann Ney
    Improved Statistical Alignment Models. [Citation Graph (0, 0)][DBLP]
    ACL, 2000, pp:- [Conf]
  6. Franz Josef Och, Hermann Ney
    Discriminative Training and Maximum Entropy Models for Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    ACL, 2002, pp:295-302 [Conf]
  7. Christoph Tillmann, Stephan Vogel, Hermann Ney, A. Zubiaga
    A DP based Search Using Monotone Alignments in Statistical Translation. [Citation Graph (0, 0)][DBLP]
    ACL, 1997, pp:289-296 [Conf]
  8. Stephan Vogel, Hermann Ney
    Translation with Cascaded Finite State Transducers. [Citation Graph (0, 0)][DBLP]
    ACL, 2000, pp:- [Conf]
  9. Richard Zens, Hermann Ney
    A Comparative Study on Reordering Constraints in Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    ACL, 2003, pp:144-151 [Conf]
  10. Ismael García-Varea, Franz Josef Och, Hermann Ney, Francisco Casacuberta
    Efficient Integration of Maximum Entropy Lexicon Models within the Training of Statistical Alignment Models. [Citation Graph (0, 0)][DBLP]
    AMTA, 2002, pp:54-63 [Conf]
  11. Jörg Dahmen, Jens Hektor, R. Perrey, Hermann Ney
    Automatic Classification of Red Blood Cells Using Gaussian Mixture Densities. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2000, pp:331-335 [Conf]
  12. Jörg Dahmen, Daniel Keysers, Michael Motter, Hermann Ney, Thomas Martin Lehmann, Berthold B. Wein
    An Automatic Approach to Invariant Radiograph Classification. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2001, pp:337-341 [Conf]
  13. Jörg Bredno, Frank Vogelsang, Jörg Dahmen, Thomas Martin Lehmann, Markus Kilbinger, Berthold B. Wein, Rolf W. Günther, Hermann Ney, Klaus Spitzer
    Eine Entwicklungsumgebung für die interdisziplinäre Zusammenarbeit bei der Entwicklung des Image-Retrieval-Systems IRMA. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 1999, pp:362-366 [Conf]
  14. Daniel Keysers, Sami Celik, Henning Braess, Jörg Dahmen, Hermann Ney
    Parameter Estimation for Automatic Dose Control in Radioscopy. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2002, pp:279-282 [Conf]
  15. Daniel Keysers, Jörg Dahmen, Hermann Ney
    Invariant Classification of Red Blood Cells: A Comparison of Different Approaches. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2001, pp:367-371 [Conf]
  16. Daniel Keysers, Christian Gollan, Hermann Ney
    Classification of Medical Images using Non-linear Distortion Models. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2004, pp:366-370 [Conf]
  17. Roberto Paredes, Daniel Keysers, Thomas Martin Lehmann, Berthold B. Wein, Hermann Ney, Enrique Vidal
    Classification of Medical Images Using local Representations. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2002, pp:171-174 [Conf]
  18. Marcus Schreckenberg, Jörg Dahmen, Georg Schummers, Mark Oliver Güld, Dietrich Meyer-Ebrecht, Hermann Ney
    Automatische Endokarderkennung in 3D mit approximierenden Thin-Plate-Splines unter Einsatz von Gauß'schen Mischverteilungs-Modellen für die lokale Klassifikation. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2000, pp:351-356 [Conf]
  19. Thomas Deselaers, Daniel Keysers, Hermann Ney
    FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation. [Citation Graph (0, 0)][DBLP]
    CLEF, 2004, pp:688-698 [Conf]
  20. Thomas Deselaers, Tobias Weyand, Daniel Keysers, Wolfgang Macherey, Hermann Ney
    FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval. [Citation Graph (0, 0)][DBLP]
    CLEF, 2005, pp:652-661 [Conf]
  21. Ismael García-Varea, Franz Josef Och, Hermann Ney, Francisco Casacuberta
    Improving Alignment Quality in Statistical Machine Translation Using Context-dependent Maximum Entropy Models. [Citation Graph (0, 0)][DBLP]
    COLING, 2002, pp:- [Conf]
  22. Sonja Nießen, Hermann Ney
    Improving SMT quality with morpho-syntactic analysis. [Citation Graph (0, 0)][DBLP]
    COLING, 2000, pp:1081-1085 [Conf]
  23. Franz Josef Och, Hermann Ney
    A Comparison of Alignment Models for Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    COLING, 2000, pp:1086-1090 [Conf]
  24. Christoph Tillmann, Hermann Ney
    Word Re-ordering and DP-based Search in Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    COLING, 2000, pp:850-856 [Conf]
  25. Stephan Vogel, Hermann Ney
    Construction of a Hierarchical Translation Memory. [Citation Graph (0, 0)][DBLP]
    COLING, 2000, pp:1131-1135 [Conf]
  26. Stephan Vogel, Hermann Ney, Christoph Tillmann
    HMM-Based Word Alignment in Statistical Translation. [Citation Graph (0, 0)][DBLP]
    COLING, 1996, pp:836-841 [Conf]
  27. Thomas Deselaers, Daniel Keysers, Hermann Ney
    Discriminative Training for Object Recognition Using Image Patches. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:157-162 [Conf]
  28. Jörg Dahmen, Klaus Beulen, Hermann Ney
    Objektklassifikation mit Mischverteilungen. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1998, pp:167-174 [Conf]
  29. Jörg Dahmen, Daniel Keysers, M. Pitz, Hermann Ney
    Structured Covariance Matrices for Statistical Image Object Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2000, pp:99-106 [Conf]
  30. Jörg Dahmen, Ralf Schlüter, Hermann Ney
    Discriminative Training of Gaussian Mixtures for Image Object Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1999, pp:205-212 [Conf]
  31. Thomas Deselaers, Andre Hegerath, Daniel Keysers, Hermann Ney
    Sparse Patch-Histograms for Object Classification in Cluttered Images. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:202-211 [Conf]
  32. Thomas Deselaers, Daniel Keysers, Hermann Ney
    Features for Image Retrieval: A Quantitative Comparison. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:228-236 [Conf]
  33. Thomas Deselaers, Daniel Keysers, Hermann Ney
    Improving a Discriminative Approach to Object Recognition Using Image Patches. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2005, pp:326-333 [Conf]
  34. Thomas Deselaers, Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney
    Local Representations for Multi-object Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2003, pp:305-312 [Conf]
  35. Hermann Ney
    Quantisierung von Spektralkomponenten für die Klassifizierung von Sprachsignalen. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1978, pp:62-67 [Conf]
  36. Hermann Ney
    Konturbestimmung in Bildern mit dynamischer Programmierung. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1981, pp:319-326 [Conf]
  37. Hermann Ney
    Spracherkennung mit stochastischen Grammatiken: Wissensrepräsentation, Architektur und Suchstrategie. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1987, pp:118-122 [Conf]
  38. Daniel Keysers, Jörg Dahmen, Hermann Ney
    A Probabilistic View on Tangent Distance. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2000, pp:107-114 [Conf]
  39. Daniel Keysers, Thomas Deselaers, Hermann Ney
    Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:154-162 [Conf]
  40. Daniel Keysers, Michael Motter, Thomas Deselaers, Hermann Ney
    Training and Recognition of Complex Scenes Using a Holistic Statistical Model. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2003, pp:52-59 [Conf]
  41. Daniel Keysers, Franz Josef Och, Hermann Ney
    Maximum Entropy and Gaussian Models for Image Object Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2002, pp:498-506 [Conf]
  42. Hermann Ney
    Stochastic Modelling: From Pattern Classification to Speech Recognition and Language Translation. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1999, pp:325-337 [Conf]
  43. D. Mergel, Hermann Ney, Andreas Noll, Annedore Paeseler, Horst Tomaschewski
    Wechselwirkung zwischen akustischer Erkennung und höheren Wissensquellen im sprachverstehenden System SPICOS. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1987, pp:112-117 [Conf]
  44. Morteza Zahedi, Daniel Keysers, Thomas Deselaers, Hermann Ney
    Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2005, pp:401-408 [Conf]
  45. Oliver Bender, Klaus Macherey, Franz Josef Och, Hermann Ney
    Comparison of Alignment Templates and Maximum Entropy Models for NLP. [Citation Graph (0, 0)][DBLP]
    EACL, 2003, pp:11-18 [Conf]
  46. Gregor Leusch, Nicola Ueffing, Hermann Ney
    CDER: Efficient MT Evaluation Using Block Movements. [Citation Graph (0, 0)][DBLP]
    EACL, 2006, pp:- [Conf]
  47. Evgeny Matusov, Nicola Ueffing, Hermann Ney
    Computing Consensus Translation for Multiple Machine Translation Systems Using Enhanced Hypothesis Alignment. [Citation Graph (0, 0)][DBLP]
    EACL, 2006, pp:- [Conf]
  48. Nicola Ueffing, Hermann Ney
    Using POS Information for SMT into Morphologically Rich Languages. [Citation Graph (0, 0)][DBLP]
    EACL, 2003, pp:347-354 [Conf]
  49. Richard Zens, Franz Josef Och, Hermann Ney
    Efficient Search for Interactive Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    EACL, 2003, pp:387-394 [Conf]
  50. Daniel Keysers, Wolfgang Macherey, Jörg Dahmen, Hermann Ney
    Learning of Variability for Invariant Statistical Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:263-275 [Conf]
  51. Philippe Dreuw, Thomas Deselaers, David Rybach, Daniel Keysers, Hermann Ney
    Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition. [Citation Graph (0, 0)][DBLP]
    FG, 2006, pp:293-298 [Conf]
  52. Ondrej Bojar, Evgeny Matusov, Hermann Ney
    Czech-English Phrase-Based Machine Translation. [Citation Graph (0, 0)][DBLP]
    FinTAL, 2006, pp:214-224 [Conf]
  53. Adrià de Gispert, Deepa Gupta, Maja Popovic, Patrik Lambert, José B. Mariño, Marcello Federico, Hermann Ney, Rafael E. Banchs
    Improving Statistical Word Alignments with Morpho-syntactic Transformations. [Citation Graph (0, 0)][DBLP]
    FinTAL, 2006, pp:368-379 [Conf]
  54. Maja Popovic, Daniel Stein, Hermann Ney
    Statistical Machine Translation of German Compound Words. [Citation Graph (0, 0)][DBLP]
    FinTAL, 2006, pp:616-624 [Conf]
  55. Felipe Sánchez-Martínez, Hermann Ney
    Using Alignment Templates to Infer Shallow-Transfer Machine Translation Rules. [Citation Graph (0, 0)][DBLP]
    FinTAL, 2006, pp:756-767 [Conf]
  56. Stefan Ortmanns, Lutz Welling, Klaus Beulen, Frank Wessel, Hermann Ney
    Architecture and Search Organization for Large Vocabulary Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung, 1997, pp:456-465 [Conf]
  57. Jan Bungeroth, Hermann Ney
    Automatic Generation of German Sign Language Glosses from German Words. [Citation Graph (0, 0)][DBLP]
    Gesture Workshop, 2005, pp:49-52 [Conf]
  58. Philippe Dreuw, Daniel Keysers, Thomas Deselaers, Hermann Ney
    Gesture Recognition Using Image Comparison Methods. [Citation Graph (0, 0)][DBLP]
    Gesture Workshop, 2005, pp:124-128 [Conf]
  59. Morteza Zahedi, Daniel Keysers, Hermann Ney
    Pronunciation Clustering and Modeling of Variability for Appearance-Based Sign Language Recognition. [Citation Graph (0, 0)][DBLP]
    Gesture Workshop, 2005, pp:68-79 [Conf]
  60. Hermann Ney
    On the Relationship between Classification Error Bounds and Training Criteria in Statistical Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:636-645 [Conf]
  61. Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney
    Comparison of Log-linear Models and Weighted Dissimilarity Measures. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:370-377 [Conf]
  62. Morteza Zahedi, Daniel Keysers, Hermann Ney
    Appearance-Based Recognition of Words in American Sign Language. [Citation Graph (0, 0)][DBLP]
    IbPRIA (1), 2005, pp:511-519 [Conf]
  63. Christoph Tillmann, Hermann Ney
    Selection criteria for word trigger pairs in language modelling. [Citation Graph (0, 0)][DBLP]
    ICGI, 1996, pp:95-106 [Conf]
  64. Thomas Deselaers, Daniel Keysers, Hermann Ney
    Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:505-508 [Conf]
  65. Jörg Dahmen, Daniel Keysers, Mark Oliver Güld, Hermann Ney
    Invariant Image Object Recognition Using Mixture Densities. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2614-2617 [Conf]
  66. Daniel Keysers, Jörg Dahmen, Thomas Theiner, Hermann Ney
    Experiments with an Extended Tangent Distance. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2038-2042 [Conf]
  67. Daniel Keysers, Christian Gollan, Hermann Ney
    Local Context in Non-Linear Deformation Models for Handwritten Character Recognition. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2004, pp:511-514 [Conf]
  68. Daniel Keysers, Hermann Ney
    Linear Discriminant Analysis and Discriminative Log-linear Modeling. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2004, pp:156-159 [Conf]
  69. Tobias Kölsch, Daniel Keysers, Hermann Ney, Roberto Paredes
    Enhancements for Local Feature Based Image Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2004, pp:248-251 [Conf]
  70. Hermann Ney
    Stochastic Modeling: From Pattern Classification to Speech Recognition and Translation. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3025-3032 [Conf]
  71. Richard Zens, Franz Josef Och, Hermann Ney
    Phrase-Based Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    KI, 2002, pp:18-32 [Conf]
  72. Stephan Kanthak, Sirko Molau, Achim Sixtus, Ralf Schlüter, Hermann Ney
    The RWTH Large Vocabulary Speech Recognition System for Spontaneous Speech. [Citation Graph (0, 0)][DBLP]
    KONVENS, 2000, pp:249-254 [Conf]
  73. Stephan Vogel, Franz Josef Och, Hermann Ney
    The Statistical Translation Module in the Verbmobil System. [Citation Graph (0, 0)][DBLP]
    KONVENS, 2000, pp:291-293 [Conf]
  74. Jörg Dahmen, Daniel Keysers, Hermann Ney
    Combined Classification of Handwritten Digits Using the 'Virtual Test Sample Method'. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:109-118 [Conf]
  75. 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. [Citation Graph (0, 0)][DBLP]
    MLCW, 2005, pp:117-176 [Conf]
  76. Richard Zens, Hermann Ney
    Improvements in Phrase-Based Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    HLT-NAACL, 2004, pp:257-264 [Conf]
  77. Nicola Ueffing, Hermann Ney
    Word-Level Confidence Estimation for Machine Translation using Phrase-Based Translation Models. [Citation Graph (0, 0)][DBLP]
    HLT/EMNLP, 2005, pp:- [Conf]
  78. Shahram Khadivi, Hermann Ney
    Automatic Filtering of Bilingual Corpora for Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    NLDB, 2005, pp:263-274 [Conf]
  79. David Vilar, Hermann Ney, Alfons Juan, Enrique Vidal
    Effect of Feature Smoothing Methods in Text Classification Tasks. [Citation Graph (0, 0)][DBLP]
    PRIS, 2004, pp:108-117 [Conf]
  80. Alfons Juan, Hermann Ney
    Reversing and Smoothing the Multinomial Naive Bayes Text Classifier. [Citation Graph (0, 0)][DBLP]
    PRIS, 2002, pp:200-212 [Conf]
  81. Daniel Keysers, Roberto Paredes, Hermann Ney, Enrique Vidal
    Combination of Tangent Vectors and Local Representations for Handwritten Digit Recognition. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:538-547 [Conf]
  82. Nicola Ueffing, Hermann Ney
    Bayes Decision Rules and Confidence Measures for Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    EsTAL, 2004, pp:70-81 [Conf]
  83. Annedore Paeseler, Hermann Ney, Volker Steinbiss, Harald Höge, Erwin Marschall
    Continous-Speech Recognition in the SPICOS-II System. [Citation Graph (0, 0)][DBLP]
    Wissensbasierte Systeme, 1989, pp:286-295 [Conf]
  84. Hermann Ney
    One Decade of Statistical Machine Translation: 1996-2005. [Citation Graph (0, 0)][DBLP]
    CLIN, 2005, pp:- [Conf]
  85. Sonja Nießen, Hermann Ney
    Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 2004, v:30, n:2, pp:181-204 [Journal]
  86. Franz Josef Och, Hermann Ney
    A Systematic Comparison of Various Statistical Alignment Models. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 2003, v:29, n:1, pp:19-51 [Journal]
  87. Franz Josef Och, Hermann Ney
    The Alignment Template Approach to Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 2004, v:30, n:4, pp:417-449 [Journal]
  88. Christoph Tillmann, Hermann Ney
    Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 2003, v:29, n:1, pp:97-133 [Journal]
  89. Nicola Ueffing, Hermann Ney
    Word-Level Confidence Estimation for Machine Translation. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 2007, v:33, n:1, pp:9-40 [Journal]
  90. Hermann Ney
    Automatische Spracherkennung: Architektur und Suchstrategie aus statistischer Sicht. [Citation Graph (0, 0)][DBLP]
    Inform., Forsch. Entwickl., 1992, v:7, n:2, pp:83-97 [Journal]
  91. Hermann Ney, Volker Steinbiss, Reinhold Haeb-Umbach, B.-H. Tran, Ute Essen
    An Overview of the Philips Research System for Large Vocabulary Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1994, v:8, n:1, pp:33-70 [Journal]
  92. 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. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:4, pp:519-539 [Journal]
  93. Hermann Ney
    Maschinelle Sprachverarbeitung Der statistische Ansatz bei Spracherkennung und Sprachübersetzung. [Citation Graph (0, 0)][DBLP]
    Informatik Spektrum, 2003, v:26, n:2, pp:94-102 [Journal]
  94. Jörg Dahmen, Daniel Keysers, Hermann Ney, Mark Oliver Güld
    Statistical Image Object Recognition using Mixture Densities. [Citation Graph (0, 0)][DBLP]
    Journal of Mathematical Imaging and Vision, 2001, v:14, n:3, pp:285-296 [Journal]
  95. Hermann Ney
    Maschinelle Sprachverarbeitung und Statistik. [Citation Graph (0, 0)][DBLP]
    KI, 1995, v:9, n:5, pp:27-30 [Journal]
  96. Christoph Tillmann, Stephan Vogel, Hermann Ney, Hassan Sawaf
    Statistical Translation of Text and Speech: First Results with the RWTH System. [Citation Graph (0, 0)][DBLP]
    Machine Translation, 2000, v:15, n:1-2, pp:43-73 [Journal]
  97. Daniel Keysers, Wolfgang Macherey, Hermann Ney, Jörg Dahmen
    Adaptation in Statistical Pattern Recognition Using Tangent Vectors. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:2, pp:269-274 [Journal]
  98. Hermann Ney
    A Comparative Study of Two Search Strategies for Connected Word Recognition: Dynamic Programming and Heuristic Search. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1992, v:14, n:5, pp:586-595 [Journal]
  99. Hermann Ney
    On the Probabilistic Interpretation of Neural Network Classifiers and Discriminative Training Criteria. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1995, v:17, n:2, pp:107-119 [Journal]
  100. Hermann Ney, Ute Essen, Reinhard Kneser
    On the Estimation of 'Small' Probabilities by Leaving-One-Out. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1995, v:17, n:12, pp:1202-1212 [Journal]
  101. Hauke Schramm, Xavier L. Aubert, Bart Bakker, Carsten Meyer, Hermann Ney
    Modeling spontaneous speech variability in professional dictation. [Citation Graph (0, 0)][DBLP]
    Speech Communication, 2006, v:48, n:5, pp:493-515 [Journal]
  102. Sirko Molau, Daniel Keysers, Hermann Ney
    Matching training and test data distributions for robust speech recognition. [Citation Graph (0, 0)][DBLP]
    Speech Communication, 2003, v:41, n:4, pp:579-601 [Journal]
  103. Achim Sixtus, Hermann Ney
    From within-word model search to across-word model search in large vocabulary continuous speech recognition. [Citation Graph (0, 0)][DBLP]
    Computer Speech & Language, 2002, v:16, n:2, pp:245-271 [Journal]
  104. Francisco Casacuberta, Hermann Ney, Franz Josef Och, Enrique Vidal, Juan Miguel Vilar, Sergio Barrachina, Ismael García-Varea, David Llorens, César Martínez, Sirko Molau
    Some approaches to statistical and finite-state speech-to-speech translation. [Citation Graph (0, 0)][DBLP]
    Computer Speech & Language, 2004, v:18, n:1, pp:25-47 [Journal]
  105. Thomas Deselaers, Tobias Weyand, Hermann Ney
    Image Retrieval and Annotation Using Maximum Entropy. [Citation Graph (0, 0)][DBLP]
    CLEF, 2006, pp:725-734 [Conf]
  106. Daniel Keysers, Thomas Deselaers, Christian Gollan, Hermann Ney
    Deformation Models for Image Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:8, pp:1422-1435 [Journal]
  107. András Zolnay, Daniil Kocharov, Ralf Schlüter, Hermann Ney
    Using multiple acoustic feature sets for speech recognition. [Citation Graph (0, 0)][DBLP]
    Speech Communication, 2007, v:49, n:6, pp:514-525 [Journal]

  108. Minimum Bayes Risk Decoding for BLEU. [Citation Graph (, )][DBLP]


  109. Jointly optimising relevance and diversity in image retrieval. [Citation Graph (, )][DBLP]


  110. FIRE in ImageCLEF 2007: Support Vector Machines and Logistic Models to Fuse Image Descriptors for Photo Retrieval. [Citation Graph (, )][DBLP]


  111. Overview of the ImageCLEF 2007 Object Retrieval Task. [Citation Graph (, )][DBLP]


  112. Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation. [Citation Graph (, )][DBLP]


  113. Pan, zoom, scan - Time-coherent, trained automatic video cropping. [Citation Graph (, )][DBLP]


  114. Deformation-Aware Log-Linear Models. [Citation Graph (, )][DBLP]


  115. Efficient approximations to model-based joint tracking and recognition of continuous sign language. [Citation Graph (, )][DBLP]


  116. Enhancing a Sign Language Translation System with Vision-Based Features. [Citation Graph (, )][DBLP]


  117. Smoothed Disparity Maps for Continuous American Sign Language Recognition. [Citation Graph (, )][DBLP]


  118. Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting Recognition. [Citation Graph (, )][DBLP]


  119. Writer Adaptive Training and Writing Variant Model Refinement for Offline Arabic Handwriting Recognition. [Citation Graph (, )][DBLP]


  120. Modified MMI/MPE: a direct evaluation of the margin in speech recognition. [Citation Graph (, )][DBLP]


  121. Bag-of-visual-words models for adult image classification and filtering. [Citation Graph (, )][DBLP]


  122. Learning weighted distances for relevance feedback in image retrieval. [Citation Graph (, )][DBLP]


  123. SVMs, Gaussian mixtures, and their generative/discriminative fusion. [Citation Graph (, )][DBLP]


  124. White-space models for offline Arabic handwriting recognition. [Citation Graph (, )][DBLP]


  125. Efficient Phrase-Table Representation for Machine Translation with Applications to Online MT and Speech Translation. [Citation Graph (, )][DBLP]


  126. iROVER: Improving System Combination with Classification. [Citation Graph (, )][DBLP]


  127. Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems. [Citation Graph (, )][DBLP]


  128. Are Very Large N-Best Lists Useful for SMT? [Citation Graph (, )][DBLP]


  129. Comparison of Extended Lexicon Models in Search and Rescoring for SMT. [Citation Graph (, )][DBLP]


  130. Statistical Pattern Recognition and Machine Translation from 1988 to 1998: What has Happened? [Citation Graph (, )][DBLP]


  131. Bridging the Gap between Naive Bayes and Maximum Entropy Text Classification. [Citation Graph (, )][DBLP]


  132. Using a Bilingual Context in Word-Based Statistical Machine Translation. [Citation Graph (, )][DBLP]


  133. A Mixture Density Based Approach to Object Recognition for Image Retrieval. [Citation Graph (, )][DBLP]


  134. Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network. [Citation Graph (, )][DBLP]


  135. Triplet Lexicon Models for Statistical Machine Translation. [Citation Graph (, )][DBLP]


  136. A Systematic Comparison of Training Criteria for Statistical Machine Translation. [Citation Graph (, )][DBLP]


  137. Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models. [Citation Graph (, )][DBLP]


  138. Error Measures and Bayes Decision Rules Revisited with Applications to POS Tagging. [Citation Graph (, )][DBLP]


  139. A GIS-like training algorithm for log-linear models with hidden variables. [Citation Graph (, )][DBLP]


  140. Modified MPE/MMI in a transducer-based framework. [Citation Graph (, )][DBLP]


  141. Extensions of absolute discounting (Kneser-Ney method). [Citation Graph (, )][DBLP]


  142. Audio segmentation for speech recognition using segment features. [Citation Graph (, )][DBLP]


  143. The SignSpeak Project - Bridging the Gap Between Signers and Speakers. [Citation Graph (, )][DBLP]


  144. A Multi-Genre SMT System for Arabic to French. [Citation Graph (, )][DBLP]


  145. A Comparison of Various Methods for Concept Tagging for Spoken Language Understanding. [Citation Graph (, )][DBLP]


  146. The ATIS Sign Language Corpus. [Citation Graph (, )][DBLP]


  147. Benchmark Databases for Video-Based Automatic Sign Language Recognition. [Citation Graph (, )][DBLP]


  148. Automatic Evaluation Measures for Statistical Machine Translation System Optimization. [Citation Graph (, )][DBLP]


  149. Statistical Approaches to Computer-Assisted Translation. [Citation Graph (, )][DBLP]


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