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Representing word image using visual word embeddings and RNN for keyword spotting on historical document images.

, , and . ICME, page 1368-1373. IEEE Computer Society, (2017)

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Latent Dirichlet Allocation Based Image Retrieval., and . CCIR, volume 10390 of Lecture Notes in Computer Science, page 211-221. Springer, (2017)Representing word image using visual word embeddings and RNN for keyword spotting on historical document images., , and . ICME, page 1368-1373. IEEE Computer Society, (2017)Enhancing the Mongolian Historical Document Recognition System with Multiple Knowledge-Based Strategies., , , and . ICONIP (2), volume 9490 of Lecture Notes in Computer Science, page 536-544. Springer, (2015)A keyword retrieval system for historical Mongolian document images., and . IJDAR, 17 (1): 33-45 (2014)A Novel Approach to Improve the Mongolian Language Model Using Intermediate Characters., , , and . CCL, volume 10035 of Lecture Notes in Computer Science, page 103-113. (2016)Segmentation-Free Printed Traditional Mongolian OCR Using Sequence to Sequence with Attention Model., , , and . ICDAR, page 585-590. IEEE, (2017)A Method for Removing Inflectional Suffixes in Word Spotting of Mongolian Kanjur., , and . ICDAR, page 88-92. IEEE Computer Society, (2011)A multiple instances approach to improving keyword spotting on historical Mongolian document images., , and . ICDAR, page 121-125. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.Hidden Markov Model for Term Weighting in Verbose Queries., , , , , and . CLEF, volume 7488 of Lecture Notes in Computer Science, page 82-87. Springer, (2012)A Holistic Recognition Approach for Woodblock-Print Mongolian Words Based on Convolutional Neural Network., and . ICIP, page 2726-2730. IEEE, (2019)