Suchergebnisse - computer learning and pattern recognition::text/((document OR dokumenty) OR document) processing*

PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks von Yu, Wenwen, Lu, Ning, Qi, Xianbiao, Gong, Ping, Xiao, Rong

“… Computer vision with state-of-the-art deep learning models has achieved huge success in the field of Optical Character Recognition (OCR …”
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An end-to-end pipeline for historical censuses processing von Petitpierre, Rémi, Kramer, Marion, Rappo, Lucas

“… Censuses are structured documents of great value for social and demographic history, which became widespread from the nineteenth century …”
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Document-level sentiment classification: An empirical comparison between SVM and ANN von Moraes, Rodrigo, Valiati, João Francisco, Gavião Neto, Wilson P.

“… ► SVM have been extensively and successfully used as a sentiment learning approach …”
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Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge von Zhuang, Xiahai, Li, Lei, Payer, Christian, Štern, Darko, Urschler, Martin, Heinrich, Mattias P., Oster, Julien, Wang, Chunliang, Smedby, Örjan, Bian, Cheng, Yang, Xin, Heng, Pheng-Ann, Mortazi, Aliasghar, Bagci, Ulas, Yang, Guanyu, Sun, Chenchen, Galisot, Gaetan, Ramel, Jean-Yves, Brouard, Thierry, Tong, Qianqian, Si, Weixin, Liao, Xiangyun, Zeng, Guodong, Shi, Zenglin, Zheng, Guoyan, Wang, Chengjia, MacGillivray, Tom, Newby, David, Rhode, Kawal, Ourselin, Sebastien, Mohiaddin, Raad, Keegan, Jennifer, Firmin, David, Yang, Guang

“… ) challenge, in conjunction with MICCAI 2017.•This work introduces the related information to the challenge, discusses the results from the conventional methods and deep learning-based algorithms, and provides insights to the future research …”
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Robust text line detection in historical documents: learning and evaluation methods von Boillet, Mélodie, Kermorvant, Christopher, Paquet, Thierry

“… Text line segmentation is one of the key steps in historical document understanding …”
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Hate speech recognition in multilingual text: hinglish documents von Yadav, Arun Kumar, Kumar, Mohit, Kumar, Abhishek, Shivani, Kusum, Yadav, Divakar

“… Sometimes users wield abusive or inflammatory language, that may provoke readers. This paper aims to evaluate various machine learning and deep learning techniques to detect hate speech on various social media platforms in the Hinglish …”
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Deformity removal from handwritten text documents using variable cycle GAN von Nigam, Shivangi, Behera, Adarsh Prasad, Verma, Shekhar, Nagabhushan, P.

“… Text recognition systems typically work well for printed documents but struggle with handwritten documents due to different writing styles, background complexities, added noise of image acquisition …”
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I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification von Naeem, Muhammad Ferjad, Xian, Yongqin, Gool, Luc Van, Tombari, Federico

“… Despite the tremendous progress in zero-shot learning (ZSL), the majority of existing methods still rely on human-annotated attributes, which are difficult to annotate and scale …”
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What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018 von Tahamtan, Iman, Bornmann, Lutz

“… The purpose of this paper is to update the review of Bornmann and Daniel (J Doc 64(1):45–80, 2008 ) presenting a narrative review of studies on citations in scientific documents …”
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A survey of historical document image datasets von Nikolaidou, Konstantina, Seuret, Mathias, Mokayed, Hamam, Liwicki, Marcus

“… Finding appropriate datasets for historical document analysis is a crucial prerequisite to facilitate research using different machine learning algorithms …”
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A segmentation-free method for image retrieval and pattern spotting in historical documents using convolutional features von Curi, Zacarias, Nicolas, Stéphane, Tranouez, Pierrick, M. Saavedra, Jose, de Souza Britto Jr, Alceu, Heutte, Laurent

“… This paper describes a new segmentation-free method for retrieving images and spotting patterns in historical document image collections …”
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Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks von Boillet, Melodie, Kermorvant, Christopher, Paquet, Thierry

“… In this paper, we introduce a fully convolutional network for the document layout analysis task …”
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DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents von Constum, Thomas, Tranouez, Pierrick, Paquet, Thierry

“… : Document Layout Analysis, Handwritten Text Recognition, and Named Entity Recognition. Recent approaches have attempted to integrate these steps into a single process using fully end-to-end architectures …”
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Contribution of recurrent connectionist language models in improving LSTM-based Arabic text recognition in videos von Yousfi, Sonia, Berrani, Sid-Ahmed, Garcia, Christophe

“… Unconstrained text recognition in videos is a very challenging task that begins to draw the attention of the OCR community …”
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Automatic recognition of conceptualization zones in scientific articles and two life science applications von Liakata, Maria, Saha, Shyamasree, Dobnik, Simon, Batchelor, Colin, Rebholz-Schuhmann, Dietrich

“… Here we present the means to facilitate automatic access to the scientific discourse of articles by automating the recognition of 11 categories at the sentence level, which we call Core Scientific Concepts (CoreSCs). These include …”
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Metric learning for text documents von Lebanon, G.

“… Many algorithms in machine learning rely on being given a good distance metric over the input space …”
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Automatic Text Summarization Methods: A Comprehensive Review von Sharma, Grishma, Sharma, Deepak

“… Automatic text summarization can save time and helps in selecting the important and relevant sentences from the document …”
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Large text document summarization based on an enhanced fuzzy logic approach von Yadav, Avaneesh Kumar, Ranvijay, Ranvijay, Yadav, Rama Shankar, Kumar, Vivek

“… looking for. In this paper, we propose an extractive text summarization approach that utilizes fuzzy logic to determine the relevance and importance of sentences in a multi-document such as legal documents, news …”
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Line extraction in handwritten documents via instance segmentation von Islam, Adeela, Anjum, Tayaba, Khan, Nazar

“… Extraction of text lines from handwritten document images is important for downstream text recognition tasks …”
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EAML: ensemble self-attention-based mutual learning network for document image classification von Bakkali, Souhail, Ming, Zuheng, Coustaty, Mickaël, Rusiñol, Marçal

“… As many document types have a distinct visual style, learning only visual features with deep CNNs to classify document images has encountered the problem of low inter-class discrimination, and high …”
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