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Handwritten Word Image Categorization with Convolutional Neural Networks and Spatial Pyramid Pooling.

, , , , , и . S+SSPR, том 10029 из Lecture Notes in Computer Science, стр. 543-552. (2016)

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Hermann Südholt

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Learning local image descriptors for word spotting., , и . ICDAR, стр. 651-655. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.Evaluating Word String Embeddings and Loss Functions for CNN-Based Word Spotting., и . ICDAR, стр. 493-498. IEEE, (2017)Kernel Density Estimation for Post Recognition Score Analysis., , и . GCPR, том 8753 из Lecture Notes in Computer Science, стр. 593-603. Springer, (2014)Attribute CNNs for word spotting in handwritten documents., и . Int. J. Document Anal. Recognit., 21 (3): 199-218 (2018)Handwritten Word Image Categorization with Convolutional Neural Networks and Spatial Pyramid Pooling., , , , , и . S+SSPR, том 10029 из Lecture Notes in Computer Science, стр. 543-552. (2016)PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents., и . ICFHR, стр. 277-282. IEEE Computer Society, (2016)Word Hypotheses for Segmentation-Free Word Spotting in Historic Document Images., , , , и . ICDAR, стр. 1174-1179. IEEE, (2017)Query-by-Online Word Spotting Revisited: Using CNNs for Cross-Domain Retrieval., , и . ICDAR, стр. 481-486. IEEE, (2017)A Modified Isomap Approach to Manifold Learning in Word Spotting., и . GCPR, том 9358 из Lecture Notes in Computer Science, стр. 529-539. Springer, (2015)Learning attribute representations with deep convolutional neural networks for word spotting.. Technical University of Dortmund, Germany, (2018)