Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers / edited by João Manuel R. S. Tavares, João Paulo Papa, Manuel González Hidalgo.

Format:

Book

Contributor:

Tavares, João Manuel R. S., Editor.

Papa, João Paulo, Editor.

González Hidalgo, Manuel, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12702

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12702

Language:

English

Subjects (All):

Pattern recognition systems.

Machine learning.

Computer vision.

Computer engineering.

Computer networks.

Application software.

Automated Pattern Recognition.

Machine Learning.

Computer Vision.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Local Subjects:

Automated Pattern Recognition.

Machine Learning.

Computer Vision.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Physical Description:

1 online resource (XV, 490 pages) : 167 illustrations, 135 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the 25th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2021, which took place during May 10-13, 2021. The conference was initially planned to take place in Porto, Portugal, but changed to a virtual event due to the COVID-19 pandemic. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They were organized in topical sections as follows: medical applications; natural language processing; metaheuristics; image segmentation; databases; deep learning; explainable artificial intelligence; image processing; machine learning; and computer vision. .

Contents:

Medical Applications

Predicting the use of Invasive Mechanical Ventilation in ICU COVID-19 patients

A Coarse to Fine Corneal Ulcer Segmentation Approach using U-net and DexiNed in Chain

Replacing Data Augmentation with Rotation-equivariant CNNs in Image-based Classification of Oral Cancer

A Multitasking Learning Framework for Dermoscopic Image Analysis

An Evaluation of Segmentation Techniques for COVID-19 Identification in Chest X-Ray

A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images

Natural Language Processing

Data-Augmented Emoji Approach to Sentiment Classification of Tweets

Detecting Hate Speech in Cross-Lingual and Multi-Lingual Settings Using Language Agnostic Representations

Prediction of Perception of Security Using Social Media Content

Metaheuristics

Fine-Tuning Dropout Regularization in Energy-Based Deep Learning

Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization

Using Particle Swarm Optimization With Gradient Descent For Parameter Learning In Convolutional Neural Networks

Image Segmentation

Object Delineation by Iterative Dynamic Trees

Low-Cost Domain Adaptation for Crop and Weed Segmentation

Databases

MIGMA: The Facial Emotion Image Dataset forHuman Expression Recognition

Construction of Brazilian Regulatory Traffic Sign Recognition Dataset

Japanese Kana and Brazilian Portuguese manuscript database

Skelibras: a Large 2d Skeleton Dataset of Dynamic Brazilian Signs

Deep Learning

Cricket Scene Analysis using the RetinaNet architecture. -Texture-Based Image Transformations for Improved Deep Learning Classification

Towards Precise Recognition of Pollen Bearing Bees by Convolutional Neural Networks

Web Application Attacks Detection Using Deep Learning

Less is More: Accelerating Faster Neural Networks Straight from JPEG

Optimizing Person Re-Identification using Generated Attention Masks

Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing

Explainable Artificial Intelligence

Interpretable Concept Drift

Interpreting a Conditional Generative Adversarial Network Model for Crime Prediction

Interpreting Decision Patterns in Financial Applications

Image Processing

Metal Artifact Reduction based on color mapping and inpainting techniques

New Improvement in Obtaining Monogenic Phase Congruency

Machine Learning

Evaluating the Construction of Feature Descriptors in the Performance of the Image Data Stream Classification

Clustering-based Partitioning of Water Distribution Networks for Leak Zone Location

Bias Quantification for Protected Features in Pattern Classification Problems

Regional Commodities Price Volatility Assessment Using Self-Driven Recurrent Networks

Semi-supervised Deep Learning Based on Label Propagation in a 2D Embedded Space

Iterative Creation of Matching-Graphs - Finding Relevant Substructures in Graph Sets

Semi-Autogeonous (SAG) Mill Overload Forecasting

Novel Time-Frequency Based Scheme for Detecting Sound Events from Sound Background in Audio Segments

Computer Vision

Generalized Conics with the Sharp Corners

Automatic Face Mask Detection using a Hide and Seek Algorithm

A Feature Extraction Approach Based on LBP Operator and Complex Networks for Face Recognition

End-to-End Deep Sketch-to-Photo Matching Enforcing Realistic Photo Generation

Forensic Analysis of Tampered Digital Photos

COVID-19 Lung CT Images Recognition: A Feature-Based Approach

A Topologically Consistent Color Digital Image Representation by a Single Tree.

Other Format:

Printed edition:

ISBN:

978-3-030-93420-0

9783030934200

Access Restriction:

Restricted for use by site license.