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001441755 001__ 1441755
001441755 003__ OCoLC
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001441755 019__ $$a1292518316$$a1292524663$$a1292564437$$a1292589811$$a1293256445
001441755 020__ $$a9783030934200$$q(electronic bk.)
001441755 020__ $$a3030934209$$q(electronic bk.)
001441755 020__ $$z9783030934194$$q(print)
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001441755 0247_ $$a10.1007/978-3-030-93420-0$$2doi
001441755 035__ $$aSP(OCoLC)1293655698
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001441755 049__ $$aISEA
001441755 050_4 $$aQ337.5
001441755 08204 $$a006.4$$223
001441755 1112_ $$aIberoamerican Congress on Pattern Recognition$$n(25th :$$d2021 :$$cOnline)
001441755 24510 $$aProgress in pattern recognition, image analysis, computer vision, and applications :$$b25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised selected papers /$$cJoão Manuel R. S. Tavares, João Paulo Papa, Manuel González Hidalgo (eds.).
001441755 2463_ $$aCIARP 2021
001441755 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001441755 300__ $$a1 online resource (xv, 490 pages) :$$billustrations (some color).
001441755 336__ $$atext$$btxt$$2rdacontent
001441755 337__ $$acomputer$$bc$$2rdamedia
001441755 338__ $$aonline resource$$bcr$$2rdacarrier
001441755 347__ $$atext file$$bPDF$$2rda
001441755 4901_ $$aLecture notes in computer science ;$$v12702
001441755 4901_ $$aLNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
001441755 500__ $$a"The conference was held during May 10-13, 2021, in a virtual format [...]." -- Preface.
001441755 500__ $$aIncludes author index.
001441755 5050_ $$aMedical 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.
001441755 506__ $$aAccess limited to authorized users.
001441755 520__ $$aThis book constitutes the proceedings of the 25th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2021, which took place during May 10-13, 2021. The conference was initially planned to take place in Porto, Portugal, but changed to a virtual event due to the COVID-19 pandemic. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They were organized in topical sections as follows: medical applications; natural language processing; metaheuristics; image segmentation; databases; deep learning; explainable artificial intelligence; image processing; machine learning; and computer vision.
001441755 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 26, 2022).
001441755 650_0 $$aPattern recognition systems$$vCongresses.
001441755 650_0 $$aOptical pattern recognition$$vCongresses.
001441755 650_0 $$aComputer vision$$vCongresses.
001441755 650_0 $$aImage processing$$xDigital techniques$$vCongresses.
001441755 650_6 $$aReconnaissance des formes (Informatique)$$vCongrès.
001441755 650_6 $$aReconnaissance optique des formes (Informatique)$$vCongrès.
001441755 650_6 $$aVision par ordinateur$$vCongrès.
001441755 650_6 $$aTraitement d'images$$xTechniques numériques$$vCongrès.
001441755 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001441755 655_7 $$aConference papers and proceedings.$$2lcgft
001441755 655_7 $$aActes de congrès.$$2rvmgf
001441755 655_0 $$aElectronic books.
001441755 7001_ $$aTavares, João Manuel R. S.,$$eeditor.$$1https://orcid.org/0000-0001-7603-6526
001441755 7001_ $$aPapa, João Paulo,$$eeditor.$$1https://orcid.org/0000-0002-6494-7514
001441755 7001_ $$aGonzález Hidalgo, Manuel,$$eeditor.$$1https://orcid.org/0000-0003-4984-387X
001441755 77608 $$iPrint version: $$z9783030934194
001441755 77608 $$iPrint version: $$z9783030934217
001441755 830_0 $$aLecture notes in computer science ;$$v12702.
001441755 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001441755 852__ $$bebk
001441755 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-93420-0$$zOnline Access$$91397441.1
001441755 909CO $$ooai:library.usi.edu:1441755$$pGLOBAL_SET
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001441755 980__ $$aEBOOK
001441755 982__ $$aEbook
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