Document Analysis and Recognition - ICDAR 2021 :  16th International Conference, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part II / 
edited by Josep Lladós, Daniel Lopresti, Seiichi Uchida. 
 - 1st ed. 2021. 
 - XX, 873 páginas329 ilustraciones 277 ilustraciones in color.  recurso en línea 
 - Image Processing, Computer Vision, Pattern Recognition, and Graphics,  12822  3004-9954 ; .
 - Image Processing, Computer Vision, Pattern Recognition, and Graphics,  12822 .
<br/><br/>Document Analysis for Literature Search -- Towards Document Panoptic Segmentation with Pinpoint Accuracy: Method and Evaluation -- A Math Formula Extraction and Evaluation Framework for PDF Documents -- Toward Automatic Interpretation of 3D Plots -- Document Summarization and Translation -- Can Text Summarization Enhance the Headline Stance Detection Task? Benefits and Drawbacks -- The Biased Coin Flip Process for Nonparametric Topic Modeling.-CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-Document Summarization -- RTNet: An End-to-End Method for Handwritten Text Image Translation -- NTable: A Dataset for Camera-based Table Detection -- Multimedia document analysis -- Label Selection Algorithm Based on Boolean Interpolative Decomposition with Sequential Backward Selection for Multi-label Classification -- GSSF: A Generative Sequence Similarity Function based on a Seq2Seq model for clustering online handwritten mathematical answers -- C2VNet: A Deep Learning Framework Towards Comic Strip to Audio-Visual Scene Synthesis -- LSTMVAEF: Vivid Layout via LSTM-based Variational Autoencoder Framework -- Mobile Text Recognition -- HCRNN: A Novel Architecture for Fast Online Handwritten Stroke Classification -- RFDoc: memory efficient local descriptors for ID documents localization and classification -- Dynamic Receptive Field Adaptation for Attention-Based Text Recognition -- Contexto-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition -- MIDV-LAIT: a challenging dataset for recognition of IDs with Perso-Arabic, Thai, and Indian scripts,. Determining optimal frame processing strategies for real-time document recognition systems -- Document Analysis for Social Good -- Embedded Attributes for Cuneiform Sign Spotting -- Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach -- Two-Step Fine-Tuned Convolutional Neural Networks for Multi-Label Classification of Children's Drawings -- DCINN: Deformable Convolution and Inception Based Neural Network for Tattoo Text Detection through Skin Region -- Sparse Document Analysis using Beta-Liouville Naive Bayes with Vocabulary Knowledge -- Automatic Signature-based Writer Identification in Mixed-script Scenarios -- Indexing and Retrieval of Documents -- Indexing and Retrieval of Documents -- Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting -- A-VLAD: An End-to-End Attention-based Neural Network for Writer Identification in Historical Documents -- Manga-MMTL: multimodal multitask transfer learning for manga character analysis -- Probabilistic Indexing and Search for Hyphenated Words -- Physical and Logical Layout Analysis -- SandSlide: Automatic Slideshow Normalization -- Digital Editions as Distant Supervision for Layout Analysis of Printed Books -- Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts -- Page Layout Analysis System for Unconstrained Historic Documents -- Improved Graph Methods for Table Layout Understanding -- Unsupervised learning of texto line segmentation by differentiating coarse patterns -- Recognition of Tables and Formulas -- Rethinking Table Structure Recognition Using Sequence Labeling Methods -- TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables -- Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer -- TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition -- An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-Head Attention and Stacked Decoder -- Global Contexto for improving recognition of Online Handwritten Mathematical Expressions -- Image-based Relation Classification Approach for Table Structure Recognition -- Image to LaTeX with Graph Neural Network for Mathematical Formula Recognition -- NLP for Document Understanding -- A Novel Method for AutomatedSuggestion of Similar Software Incidents using 2-Stage Filtering: Findings on Primary Data -- Research on pseudo-label technology for multi-label news classification -- Information Extraction from Invoices -- Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion and Sentiment Classification -- Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer -- Data Centric Domain Adaptation for Historical Text with OCR Errors -- Temporal Ordering of Events via Deep Neural Networks -- Document Collection Visual Question Answering -- Dialogue Act Recognition using Visual Information -- Are End-to-End Systems Really Necessary for NER on Handwritten Document Images? -- Training Bi-Encoders for Word Sense Disambiguation -- DeepCPCFG: Deep Learning and Contexto Free Grammars for End-to-End Information Extraction -- Consideration of the word's neighborhood in GATs for information extraction in semi-structured documents. 
<br/><br/><label>ISBN: </label>9783030863319 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-86331-9  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Image processing--Digital techniques.<br/>Computer vision.<br/>Computer engineering.<br/>Computer networks .<br/>Machine learning.<br/>Natural language processing (Computer science).<br/>Education--Data processing.<br/>Social sciences--Data processing.<br/>Computer Imaging, Vision, Pattern Recognition and Graphics.<br/>Computer Engineering and Networks.<br/>Machine Learning.<br/>Natural Language Processing (NLP).<br/>Computers and Education.<br/>Computer Application in Social and Behavioral Sciences.
<br/><br/><label>Dewey Class. No.: </label>006