Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10–13, 2021, Revised Selected Papers

AvJoão Manuel R. S. Tavares,João Paulo Papa

Häftad, Engelska, 2022

Del 12702 i serien Lecture Notes in Computer Science

911 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2022-01-14
Mått:155 x 235 x 28 mm
Vikt:762 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:490
Förlag:Springer Nature Switzerland AG
ISBN:9783030934194

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

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 NormMeta-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 GeneratedAttention 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.

Du kanske också är intresserad av

Del 12702

Ein Bauer aus dem Taunus

Carl Zuckmayer

Häftad, 1995

125 kr

Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise - Deep Learning and Data Labeling for Medical Applications, Häftad

Del 10008

Deep Learning and Data Labeling for Medical Applications

Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise

Häftad, 2016

572 kr

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Manuel Gonzalez Hidalgo, Joao Paulo Papa, Joao Manuel R. S. Tavares

E-bok

2022

1 150 kr

Deep Learning and Data Labeling for Medical Applications

Julien Cornebise, Jaime S. Cardoso, Zhi Lu, Marco Loog, Jacinto C. Nascimento, Joao Paulo Papa, Vasileios Belagiannis, Joao Manuel R. S. Tavares, Andrew Bradley, Loic Peter, Diana Mateus, Gustavo Carneiro

E-bok

2016

710 kr

Del 7

Deformation Models

Manuel González Hidalgo, Arnau Mir Torres, Javier Varona Gómez

Inbunden, 2012

1 137 kr

Del 7

Deformation Models

Manuel González Hidalgo, Arnau Mir Torres, Javier Varona Gómez

Häftad, 2016

1 137 kr

M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer Syeda-Mahmood, João Manuel R.S. Tavares, Mehdi Moradi, Andrew Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu - Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Häftad

Del 10553

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer Syeda-Mahmood, João Manuel R.S. Tavares, Mehdi Moradi, Andrew Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu

Häftad, 2017

720 kr

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Zhi Lu, Vasileios Belagiannis, Jaime S. Cardoso, Jacinto C. Nascimento, Anant Madabhushi, Joao Paulo Papa, Hayit Greenspan, Andrew Bradley, Mehdi Moradi, Joao Manuel R.S. Tavares, Tanveer Syeda-Mahmood, Gustavo Carneiro, Tal Arbel, M. Jorge Cardoso

E-bok

2017

868 kr

Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer Syeda-Mahmood, Anne Martel, Lena Maier-Hein, João Manuel R.S. Tavares, Andrew Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi - Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Häftad

Del 11045

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer Syeda-Mahmood, Anne Martel, Lena Maier-Hein, João Manuel R.S. Tavares, Andrew Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi

Häftad, 2018

572 kr

Optimum-Path Forest

Joao Paulo Papa, Alexandre Xavier Falcao

E-bok

2022

2 198 kr

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10–13, 2021, Revised Selected Papers

AvJoão Manuel R. S. Tavares,João Paulo Papa

Häftad, Engelska, 2022

Del 12702 i serien Lecture Notes in Computer Science

911 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

Produktinformation

Utgivningsdatum:2022-01-14
Mått:155 x 235 x 28 mm
Vikt:762 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:490
Förlag:Springer Nature Switzerland AG
ISBN:9783030934194

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

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 NormMeta-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 GeneratedAttention 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.