Pattern Recognition and Image Analysis
Springer International Publishing (Verlag)
9783031366154 (ISBN)
The 56 papers accepted for these proceedings were carefully reviewed and selected from 86 submissions. They deal with Machine Learning, Document Analysis, Computer Vision, 3D Computer Vision, Computer Vision Applications, Medical Imaging & Applications, Machine Learning Applications.
Machine Learning.- CCLM: Class-conditional Label Noise Modelling.- Addressing class imbalance in Multilabel Prototype Generation for k-Nearest Neighbor classification.- Time series imputation in faulty systems.- DARTS with degeneracy correction.- A fuzzy logic inference system for display characterization.- Learning Semantic-Visual Embeddings with a Priority Queue.- Learning Semantic-Visual Embeddings with a Priority Queue.- Continual vocabularies to tackle the catastrophic forgetting problem in Machine Translation.- Evaluating Domain Generalization in Kitchen Utensils Classification.- Document Analysis.- Segmentation of Large Historical Manuscript Bundles into Multi-page Deeds.- A Study of Augmentation Methods for Handwritten Stenography Recognition.- Lifelong Learning for Document Image Binarization: A Experimental Study.- Test-Time Augmentation for Document Image Binarization.- A Weakly-Supervised Approach for Layout Analysis in Music Score Images.- ResPho(SC)Net: A Zero-Shot Learning Framework for Norwegian Handwritten Word Image Recognition.- Computer Vision.- DeepArUco: Marker detection and classification in challenging lightning conditions.- Automated Detection and Identification of Olive Fruit Fly using YOLOv7 Algorithm.- Learning to search for and detect objects in foveal images using deep learning.- Relation networks for few-shot video object detection.- Optimal Wavelength Selection for Deep Learning from Hyperspectral Images.- Can representation learning for multimodal image registration be improved by supervision of intermediate layers?.- Interpretability-Guided Human Feedback During Neural Network Training.- Calibration of Non-Central Conical Catadioptric Systems from Parallel Lines.- S² -LOR: Supervised Stream Learning for Object Recognition.- Evaluation of Regularization Techniques for Transformers-Based Models.- 3D Computer Vision.- Guided depth completion using active infrared images in Time of Flight system.- StOCaMo: Online Calibration Monitoring for Stereo Cameras.- Smart-Tree: Neural Medial Axis Approximation of Point Clouds for 3D Tree Skeletonization.- A Measure of Tortuosity for 3D Curves: Identifying 3D beating patterns of sperm flagella.- The ETS2 Dataset, synthetic data from video games for monocular depth estimation.- Computer Vision Applications.- Multimodal Human Pose feature fusion for Gait recognition.- Proxemics-Net: automatic proxemics recognition in images.- Lightweight Vision Transformers for Face Verification in the Wild.- Py4MER: a CTC-based Mathematical Expression Recognition System.- Hierarchical Line Extremity Segmentation U-Net for the SoccerNet 2022 Calibration Challenge - Pitch Localization.- Object Localization with Multiplanar Fiducial Markers: Accurate Pose Estimation.- Real-time unsupervised object localization on the edge for airport videosurveillance.- Identifying Thermokarst Lakes Using Discrete Wavelet Transform-Based Deep Learning Framework.- Object Detection for Rescue Operations by High-altitude Infrared Thermal Imaging Collected by Unmanned Aerial Vehicles.- Medical Imaging & Applications.- Inter vs. Intra Domain Study of COVID Chest X-Ray Classification with Imbalanced Datasets.- Automatic Eye-Tracking-Assisted Chest Radiography Pathology Screening.- Deep Neural Networks to distinguish between Crohn's disease and Ulcerative colitis.- Few-shot image classification for automatic COVID-19 diagnosis.- An ensemble-based phenotype classifier to diagnose Crohn's disease from 16s rRNA gene sequences.- Synthetic spermatozoa video sequences generation using Adversarial Imitati
| Erscheinungsdatum | 27.06.2023 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XXIV, 719 p. 251 illus., 232 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1123 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | biometrics • computer vision • Deep learning • Document Analysis • Image Analysis • Image Processing • Image Quality • image reconstruction • Image Segmentation • machine learning • Medical Image Processing • Neural networks • pattern recognition • Signal Processing • Support Vector Machines |
| ISBN-13 | 9783031366154 / 9783031366154 |
| Zustand | Neuware |
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