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ImproteK: introducing scenarios into human-computer music improvisation
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In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017)
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Text-independent speech balloon segmentation for comics and manga ; Segmentation des bulles de bandes dessinées et manga indépendante du texte
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In: Graphic Recognition. Current Trends and Challenges 11th International Workshop, GREC 2015, Nancy, France, August 22–23, 2015, Revised Selected Papers ; https://hal.archives-ouvertes.fr/hal-01719513 ; Graphic Recognition. Current Trends and Challenges 11th International Workshop, GREC 2015, Nancy, France, August 22–23, 2015, Revised Selected Papers, 2017 (2017)
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Backward Face Ageing Model (B-FAM) for Digital Face Image Rejuvenation
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In: ISSN: 2047-4938 ; EISSN: 2047-4946 ; IET Biometrics ; https://hal.archives-ouvertes.fr/hal-01681972 ; IET Biometrics, The Institution of Engineering and Technology, 2017, 6 (6), pp.478-486 (2017)
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Text-Edge-Box: An Object Proposal Approach for Scene Text Localization
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In: Winter Conference on Application and Computer Vision 2017 ; https://hal.archives-ouvertes.fr/hal-01502710 ; Winter Conference on Application and Computer Vision 2017, Mar 2017, Santa Rosa, United States. ⟨10.1109/WACV.2017.149⟩ (2017)
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Handwriting Recognition with Multigrams
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In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) ; https://hal-normandie-univ.archives-ouvertes.fr/hal-02075753 ; 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. pp.137-142, ⟨10.1109/ICDAR.2017.31⟩ (2017)
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Abstract:
International audience ; We introduce a novel handwriting recognition approach based on sub-lexical units known as multigrams of characters, that are variable lengths characters sequences. A Hidden Semi Markov model is used to model the multigrams occurrences within the target language corpus. Decoding the training language corpus with this model provides an optimized multigram lexicon of reduced size with high coverage rate of OOV compared to the traditional word modeling approach. The handwriting recognition system is composed of two components: the optical model and the statistical n-grams of multigrams language model. The two models are combined together during the recognition process using a decoding technique based on Weighted Finite State Transducers (WFST). We experiment the approach on two Latin language datasets (the French RIMES and English IAM datasets) and we show that it outperforms words and character models language models for high Out Of Vocabulary (OOV) words rates, and that it performs similarly to these traditional models for low OOV rates, with the advantage of a reduced complexity.
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Keyword:
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO]Computer Science [cs]
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URL: https://doi.org/10.1109/ICDAR.2017.31 https://hal-normandie-univ.archives-ouvertes.fr/hal-02075753
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Self-Training of BLSTM with Lexicon Verification for Handwriting Recognition
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In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) ; https://hal-normandie-univ.archives-ouvertes.fr/hal-02075755 ; 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. pp.633-638, ⟨10.1109/ICDAR.2017.109⟩ (2017)
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A Dataset for Irish sign language recognition
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In: Oliveira, Marlon orcid:0000-0003-0528-3807 , Chatbri, Houssem, Ferstl, Ylva, Farouk, Mohamed, Little, Suzanne orcid:0000-0003-3281-3471 , O'Connor, Noel E. orcid:0000-0002-4033-9135 and Sutherland, Alistair (2017) A Dataset for Irish sign language recognition. In: Irish Machine Vision and Image Processing Conference (IMVIP), 30 Aug- 1 Sep 2017, Maynooth, Ireland. (2017)
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Fader Networks: Manipulating Images by Sliding Attributes
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In: 31st Conference on Neural Information Processing Systems (NIPS 2017) ; https://hal.archives-ouvertes.fr/hal-02275215 ; 31st Conference on Neural Information Processing Systems (NIPS 2017), Dec 2017, Long Beach, CA, United States. pp.5969-5978 (2017)
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The effect of anomalous utterances on language production.
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In: Memory & cognition, vol 45, iss 2 (2017)
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Tone Attrition in Mandarin Speakers of Varying English Proficiency.
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In: Journal of speech, language, and hearing research : JSLHR, vol 60, iss 2 (2017)
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The center of attention: Metamers, sensitivity, and bias in the emergent perception of gaze.
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In: Vision research, vol 131 (2017)
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Language Modelling for Handwriting Recognition ; Des modèles de langage pour la reconnaissance de l'écriture manuscrite
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In: https://tel.archives-ouvertes.fr/tel-01781268 ; Modeling and Simulation. Normandie Université, 2017. English. ⟨NNT : 2017NORMR024⟩ (2017)
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Modulating early visual processing by language
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In: NIPS 2017 - Conference on Neural Information Processing Systems ; https://hal.inria.fr/hal-01648683 ; NIPS 2017 - Conference on Neural Information Processing Systems, Dec 2017, Long Beach, United States. pp.1-14 (2017)
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Vision-language integration using constrained local semantic features
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In: ISSN: 1077-3142 ; EISSN: 1090-235X ; Computer Vision and Image Understanding ; https://hal-cea.archives-ouvertes.fr/cea-01803830 ; Computer Vision and Image Understanding, Elsevier, 2017, 163, pp.41-57. ⟨10.1016/j.cviu.2017.05.017⟩ (2017)
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Interaction gestuelle : de la capture à la production
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In: 1ère Ecole de printemps sur les IHM et la RVA (IVAR 2017) ; https://hal.archives-ouvertes.fr/hal-03425273 ; 1ère Ecole de printemps sur les IHM et la RVA (IVAR 2017), Apr 2017, Alger, France (2017)
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Visually grounded learning of keyword prediction from untranscribed speech ...
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Semantic speech retrieval with a visually grounded model of untranscribed speech ...
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Self-Supervised Vision-Based Detection of the Active Speaker as Support for Socially-Aware Language Acquisition ...
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Avaliação do método dialético na quantização de imagens multiespectrais ...
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Fuzzy-Based Dialectical Non-Supervised Image Classification and Clustering ...
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