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Query-by-example word spotting using multiscale features and classification in the space of representation differences.

, , and . ICIP, page 1112-1116. IEEE, (2017)

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An User Interest Ontology Based on Trusted Friends Preferences for Personalized Recommendation., , and . EMCIS, volume 299 of Lecture Notes in Business Information Processing, page 54-67. Springer, (2017)Feature Learning for Footnote-Based Document Image Classification., , , , , , and . ICIAR, volume 10317 of Lecture Notes in Computer Science, page 643-650. Springer, (2017)A Low Latency ASR-Free End to End Spoken Language Understanding System., , and . INTERSPEECH, page 1947-1951. ISCA, (2020)Word spotting and recognition via a joint deep embedding of image and text., , and . Pattern Recognit., (2019)"Étude comparative de trois ensembles de descripteurs de texture pour la segmentation de documents anciens"., , , , , and . CORIA-CIFED, page 41-56. ARIA-GRCE, (2014)Knowledge Engineering for Business Process Modeling., , and . ENASE, page 81-90. SciTePress, (2017)Footnote-based document image classification using 1D convolutional neural networks and histograms., , , and . IPTA, page 1-5. IEEE, (2017)A Multidimensional Knowledge Model for Business Process Modeling., , and . KES, volume 96 of Procedia Computer Science, page 654-663. Elsevier, (2016)Évaluation de la robustesse des descripteurs de texture pour la segmentation des images de documents anciens., , , , , , and . CORIA-CIFED, page 25-40. ARIA-GRCE, (2014)A Meta-modeling Approach to Create a Multidimensional Business Knowledge Model Based on BPMN., , and . ISDA, volume 736 of Advances in Intelligent Systems and Computing, page 806-815. Springer, (2017)