Document Analysis and Recognition – ICDAR 2023 Workshops: San José, CA, USA, August 24–26, 2023, Proceedings, Part II: Lecture Notes in Computer Science, cartea 14194
Editat de Mickael Coustaty, Alicia Fornésen Limba Engleză Paperback – 15 aug 2023
The total of 43 regular papers presented in this book were carefully selected from 60 submissions.
Part I contains 22 regular papers that stem from the following workshops:
ICDAR 2023 Workshop on Computational Paleography (IWCP);
ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR);
ICDAR 2023 International Workshop on Graphics Recognition (GREC);
ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA);
Part II contains 21 regular papers that stem from the following workshops:
ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on MachineLearning (WML).
Toate formatele și edițiile | Preț | Express |
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Paperback (2) | 439.65 lei 6-8 săpt. | |
Springer Nature Switzerland – 15 aug 2023 | 439.65 lei 6-8 săpt. | |
Springer Nature Switzerland – 15 aug 2023 | 439.97 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783031415005
ISBN-10: 3031415000
Ilustrații: XXIII, 321 p. 196 illus., 95 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031415000
Ilustrații: XXIII, 321 p. 196 illus., 95 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Typefaces and Ligatures in Printed Arabic Text: A Deep Learning-Based OCR Perspective.- Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction.- Extracting Key-Value Pairs in Business Documents.- Long-Range Transformer Architectures for Document Understanding.-Pre-training transformers for Corporate Documents Understanding.- Transformer-Based Neural Machine Translation for Post-OCR Error Correction in Cursive Text.- Arxiv Tables: Document Understanding Challenge Linking Texts and Tables.- Subgraph-Induced Extraction Technique for Information (SETI) from Administrative Documents.- Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs.- A Clustering Approach Combining Lines and Text Detection for Table Extraction.- Absformer: Transformer-Based Model for Unsupervised Multi-Document Abstractive Summarization.- A Comparison of Demographic Attributes Detection from Handwriting Based on Traditional and Deep Learning Methods.- A New Optimization Approach to Improve an Ensemble Learning Model: Application to Persian/Arabic Handwritten Character Recognition.- BN-DRISHTI: Bangla Document Recognition Through Instance-level Segmentation of Handwritten Text Images.- Text Line Detection and Recognition of Greek Polytonic Documents.- A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet.- Local Style Awareness of Font Images.- Fourier Feature-Based CBAM and Vision Transformer for Text Detection in Drone Images.- Document Binarization with Quaternionic Double Discriminator Generative Adversarial Network.- Crosslingual Handwritten Text Generation Using GANs.- Knowledge Integration inside Multitask Network for Analysis of Unseen ID Types.