Search Results - computer learning and pattern recognition::text/(document OR dokument) processing*

PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks by 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…”
Get full text

An end-to-end pipeline for historical censuses processing by 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…”
Get full text

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge by 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…”
Get full text

Robust text line detection in historical documents: learning and evaluation methods by Boillet, Mélodie, Kermorvant, Christopher, Paquet, Thierry

“…Text line segmentation is one of the key steps in historical document understanding…”
Get full text

Hate speech recognition in multilingual text: hinglish documents by 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…”
Get full text

Document-level sentiment classification: An empirical comparison between SVM and ANN by Moraes, Rodrigo, Valiati, João Francisco, Gavião Neto, Wilson P.

“…► SVM have been extensively and successfully used as a sentiment learning approach…”
Get full text

Word Spotting and Recognition with Embedded Attributes by Almazan, Jon, Gordo, Albert, Fornes, Alicia, Valveny, Ernest

“…This paper addresses the problems of word spotting and word recognition on images…”
Get full text

Deformity removal from handwritten text documents using variable cycle GAN by 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…”
Get full text

Robust Text Detection in Natural Scene Images by Yin, Xu-Cheng, Yin, Xuwang, Huang, Kaizhu, Hao, Hong-Wei

“… distance metric learning algorithm. The posterior probabilities of text candidates corresponding to non-text are estimated with a character classifier…”
Get full text

Machine learning based approaches for detecting COVID-19 using clinical text data by Khanday, Akib Mohi Ud Din, Rabani, Syed Tanzeel, Khan, Qamar Rayees, Rouf, Nusrat, Mohi Ud Din, Masarat

“…Technology advancements have a rapid effect on every field of life, be it medical field or any other field. Artificial intelligence has shown the promising…”
Get full text

PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition by Peng, Dezhi, Jin, Lianwen, Liu, Yuliang, Luo, Canjie, Lai, Songxuan

“…Handwritten Chinese text recognition (HCTR) has been an active research topic for decades…”
Get full text

Scene text detection and recognition with advances in deep learning: a survey by Liu, Xiyan, Meng, Gaofeng, Pan, Chunhong

“…Scene text detection and recognition has become a very active research topic in recent several years…”
Get full text

Contribution of recurrent connectionist language models in improving LSTM-based Arabic text recognition in videos by 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…”
Get full text

Automatic recognition of conceptualization zones in scientific articles and two life science applications by 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…”
Get full text

Automatic Text Summarization Methods: A Comprehensive Review by Sharma, Grishma, Sharma, Deepak

“… Automatic text summarization can save time and helps in selecting the important and relevant sentences from the document…”
Get full text

I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification by 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…”
Get full text

A segmentation-free method for image retrieval and pattern spotting in historical documents using convolutional features by 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…”
Get full text

Low-Complexity Approximate Convolutional Neural Networks by Cintra, Renato J., Duffner, Stefan, Garcia, Christophe, Leite, Andre

“…In this paper, we present an approach for minimizing the computational complexity of the trained convolutional neural networks (ConvNets). The idea is to…”
Get full text

Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models by España-Boquera, S, Castro-Bleda, M J, Gorbe-Moya, J, Zamora-Martinez, F

“… This paper also presents new techniques to remove slope and slant from handwritten text and to normalize the size of text images with supervised learning methods…”
Get full text

What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018 by 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…”
Get full text