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Segmentation-free query-by-string word spotting with Bag-of-Features HMMs.

, and . ICDAR, page 661-665. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.

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Word Hypotheses for Segmentation-Free Word Spotting in Historic Document Images., , , , and . ICDAR, page 1174-1179. IEEE, (2017)Segmentation-free query-by-string word spotting with Bag-of-Features HMMs., and . ICDAR, page 661-665. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.Bag-of-features HMMs for segmentation-free Bangla word spotting., , , , and . MOCR@ICDAR, page 5:1-5:5. ACM, (2013)Learning local image descriptors for word spotting., , and . ICDAR, page 651-655. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.A Probabilistic Retrieval Model for Word Spotting Based on Direct Attribute Prediction., , , and . ICFHR, page 38-43. IEEE Computer Society, (2018)Segmentation-free word spotting with bag-of-features hidden Markov models. Dortmund University, Germany, (2019)base-search.net (ftunivdortmund:oai:eldorado.tu-dortmund.de:2003/38186).Novel Sub-character HMM Models for Arabic Text Recognition., , , and . ICDAR, page 658-662. IEEE Computer Society, (2013)Kernel Density Estimation for Post Recognition Score Analysis., , and . GCPR, volume 8753 of Lecture Notes in Computer Science, page 593-603. Springer, (2014)Annotation-Free Word Spotting with Bag-of-Features HMMs., , and . Int. J. Pattern Recognit. Artif. Intell., 35 (4): 2153001:1-2153001:37 (2021)Robust Output Modeling in Bag-of-Features HMMs for Handwriting Recognition., and . ICFHR, page 199-204. IEEE Computer Society, (2016)