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PCA-Initialized Deep Neural Networks Applied to Document Image Analysis.

, , , and . ICDAR, page 877-882. IEEE, (2017)

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Phonographic sound extraction using image and signal processing., , , , and . ICASSP (4), page 289-292. IEEE, (2004)Looking at projected documents: event detection & document identification., , and . ICME, page 2127-2130. IEEE Computer Society, (2004)DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis., , , , and . HIP@ICDAR, page 61-66. ACM, (2023)PCA-Initialized Deep Neural Networks Applied to Document Image Analysis., , , and . ICDAR, page 877-882. IEEE, (2017)An End-to-End Framework for Evaluating Explainable Deep Models: Application to Historical Document Image Segmentation., , , and . ICCCI, volume 13501 of Lecture Notes in Computer Science, page 106-119. Springer, (2022)A Text Line Extraction Method for Archival Document Transcription., , , and . SSD, page 479-484. IEEE, (2020)DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments., , , , and . ICFHR, page 423-428. IEEE Computer Society, (2018)DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts., , , , , and . ICFHR, page 471-476. IEEE Computer Society, (2016)Analysis of Synthetic Document Images., , and . ICDAR, page 374-377. IEEE Computer Society, (1999)DNNViz: Training Evolution Visualization for Deep Neural Network., , , , and . SDS, page 19-24. IEEE, (2019)