Theodore Bluche | Paris Sud XI University (original) (raw)

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Papers by Theodore Bluche

Research paper thumbnail of Bluche, Théodore, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, Alejandro Héctor Toselli, et Enrique Vidal. « Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project »

Bluche, Théodore, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, ... more Bluche, Théodore, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, Alejandro Héctor Toselli, et Enrique Vidal. « Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project ». In 14th IAPR International Conference on Document Analysis and Recognition. ICDAR 2017, 312‑17. Kyoto: CPS, 2017. https://doi.org/DOI 10.1109/ICDAR.2017.59.

Research paper thumbnail of Automatic Handwritten Character Segmentation for Paleographical Character Shape Analysis

2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016

Research paper thumbnail of The LIMSI handwriting recognition system for the HTRtS 2014 contest

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015

Research paper thumbnail of Mathematical Formula Recognition Using Machine Learning Techniques

Research paper thumbnail of A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition

Lecture Notes in Computer Science, 2014

Research paper thumbnail of Tandem HMM with convolutional neural network for handwritten word recognition

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013

Research paper thumbnail of The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation

2014 11th IAPR International Workshop on Document Analysis Systems, 2014

Research paper thumbnail of The A2iA Multi-lingual Text Recognition System at the Second Maurdor Evaluation

2014 14th International Conference on Frontiers in Handwriting Recognition, 2014

Research paper thumbnail of Dropout Improves Recurrent Neural Networks for Handwriting Recognition

2014 14th International Conference on Frontiers in Handwriting Recognition, 2014

Research paper thumbnail of Automatic Line Segmentation and Ground-Truth Alignment of Handwritten Documents

2014 14th International Conference on Frontiers in Handwriting Recognition, 2014

Research paper thumbnail of Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition

2013 12th International Conference on Document Analysis and Recognition, 2013

Research paper thumbnail of From Text and Image to Historical Resource: Text-Image Alignment for Digital Humanists

Written texts are both abstract and physical objects: ideas, signs, and shapes, whose meanings, g... more Written texts are both abstract and physical objects: ideas, signs, and shapes, whose meanings, graphical systems, and social connotations evolve through time. Beyond authorship and writer identification or palaeographical dating of textual witnesses, the materiality of text and the connexion between the ideas and their written instantiations are a matter of cultural history, historic semiology, and history of communication and representations. In the context of large, growing digital libraries of texts and digitized medieval manuscripts, the question of the cultural significance of script and the ‘dual nature’ of texts may at last be addressed.

Research paper thumbnail of Bluche, Théodore, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, Alejandro Héctor Toselli, et Enrique Vidal. « Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project »

Bluche, Théodore, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, ... more Bluche, Théodore, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, Alejandro Héctor Toselli, et Enrique Vidal. « Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project ». In 14th IAPR International Conference on Document Analysis and Recognition. ICDAR 2017, 312‑17. Kyoto: CPS, 2017. https://doi.org/DOI 10.1109/ICDAR.2017.59.

Research paper thumbnail of Automatic Handwritten Character Segmentation for Paleographical Character Shape Analysis

2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016

Research paper thumbnail of The LIMSI handwriting recognition system for the HTRtS 2014 contest

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015

Research paper thumbnail of Mathematical Formula Recognition Using Machine Learning Techniques

Research paper thumbnail of A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition

Lecture Notes in Computer Science, 2014

Research paper thumbnail of Tandem HMM with convolutional neural network for handwritten word recognition

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013

Research paper thumbnail of The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation

2014 11th IAPR International Workshop on Document Analysis Systems, 2014

Research paper thumbnail of The A2iA Multi-lingual Text Recognition System at the Second Maurdor Evaluation

2014 14th International Conference on Frontiers in Handwriting Recognition, 2014

Research paper thumbnail of Dropout Improves Recurrent Neural Networks for Handwriting Recognition

2014 14th International Conference on Frontiers in Handwriting Recognition, 2014

Research paper thumbnail of Automatic Line Segmentation and Ground-Truth Alignment of Handwritten Documents

2014 14th International Conference on Frontiers in Handwriting Recognition, 2014

Research paper thumbnail of Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition

2013 12th International Conference on Document Analysis and Recognition, 2013

Research paper thumbnail of From Text and Image to Historical Resource: Text-Image Alignment for Digital Humanists

Written texts are both abstract and physical objects: ideas, signs, and shapes, whose meanings, g... more Written texts are both abstract and physical objects: ideas, signs, and shapes, whose meanings, graphical systems, and social connotations evolve through time. Beyond authorship and writer identification or palaeographical dating of textual witnesses, the materiality of text and the connexion between the ideas and their written instantiations are a matter of cultural history, historic semiology, and history of communication and representations. In the context of large, growing digital libraries of texts and digitized medieval manuscripts, the question of the cultural significance of script and the ‘dual nature’ of texts may at last be addressed.

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