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In the last decade, exponential data growth supplied the machine learning-based algorithms' capacity and enabled their usage in daily life activities. Additionally, such an improvement is partially explained due to the advent of deep learning techniq
Externí odkaz:
http://arxiv.org/abs/2203.02740
Different techniques have emerged in the deep learning scenario, such as Convolutional Neural Networks, Deep Belief Networks, and Long Short-Term Memory Networks, to cite a few. In lockstep, regularization methods, which aim to prevent overfitting by
Externí odkaz:
http://arxiv.org/abs/2007.13723
Publikováno v:
Repositório Institucional da UNESPUniversidade Estadual PaulistaUNESP.
Submitted by Claudio Filipi Gonçalves dos Santos (cfsantos85@gmail.com) on 2018-05-24T11:51:59Z No. of bitstreams: 1 optical-character-recognition-16052018.pdf: 8334356 bytes, checksum: 8dd05363a96c946ae1f6d665edc80d09 (MD5)
Rejected by Elza Mi
Rejected by Elza Mi
Externí odkaz:
http://hdl.handle.net/11449/154100
Orientador: Fabricio Aparecido Breve
Banca: João Paulo Papa
Banca: Ricardo Cerri
Detectores óticos de caracteres, ou Optical Character Recognition (OCR) é o nome dado à técnologia de traduzir dados de imagens em arquivo de texto.
Banca: João Paulo Papa
Banca: Ricardo Cerri
Detectores óticos de caracteres, ou Optical Character Recognition (OCR) é o nome dado à técnologia de traduzir dados de imagens em arquivo de texto.
Externí odkaz:
http://hdl.handle.net/11449/154100