Pattern recognition Books

Book SynopsisThis volume contains the latest in the series of ICAPR proceedings on the state-of-the-art of different facets of pattern recognition. These conferences have already carved out a unique position among events attended by the pattern recognition community. The contributions tackle open problems in the classic fields of image and video processing, document analysis and multimedia object retrieval as well as more advanced topics in biometrics speech and signal analysis. Many of the papers focus both on theory and application driven basic research pattern recognition.Table of ContentsBiometrics; Clustering Algorithms; Document Analysis; Image Registration and Transmission; Image Segmentation; Multimedia Object Retrieval; Pattern Recognition; Shape Recognition; Speech and 1-D Signal Analysis and Texture Analysis.

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Book SynopsisThis book constitutes the refereed proceedings of the 10th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2022, held in Aveiro, Portugal, in May 2022. The 54 papers accepted for these proceedings were carefully reviewed and selected from 72 submissions. They deal with document analysis; medical image processing; biometrics; pattern recognition and machine learning; computer vision; and other applications. Table of ContentsDOCUMENT ANALYSIS.- Test Sample Selection for Handwriting Recognition through Language Modeling.- Classification of Untranscribed Handwritten Notarial Documents by Textual Contents.- Incremental Vocabularies in Machine Translation through Aligned Embedding Projections.- An Interactive Machine Translation Framework for Modernizing the Language of Historical Documents.- From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation.- MEDICAL IMAGE PROCESSING.- Diagnosis of Skin Cancer Using Hierarchical Neural Networks and Metadata.- Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection.- Deep Learning for Diagnosis of Alzheimer’s Disease with FDG-PET Neuroimaging.- Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes.- Increased Robustness in Chest X-ray Classification through Clinical Report-driven regularization.- MEDICAL APPLICATIONS.- Deep Detection Models for Measuring Epidermal Bladder Cells.- On the performance of deep learning models for respiratory sound classification trained on unbalanced data.- Automated Adequacy Assessment of Cervical Cytology Samples using Deep Learning.- Exploring Alterations in Electrocardiogram during the Postoperative Pain.- Differential Gene Expression Analysis of the Most Relevant Genes for Lung Cancer Prediction and Sub-type Classification.- Detection of epilepsy in EEGs using Deep Sequence models - A Comparative Study.- BIOMETRICS.- Facial Emotion Recognition for Sentiment Analysis of Social Media Data.- Heartbeat selection based on outlier removal.- Characterization of emotions through facial Electromyogram signals.- Feature selection for emotional well-being monitorization.- Temporal Convolutional Networks for Robust Face Liveness Detection.- PATTERN RECOGNITION & MACHINE LEARNING.- MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks.- Transparent management of adjacencies in the cubic grid.- Abbreviating Labelling Cost for Sentinel-2 Image Scene Classification through Active Learning.- Feature-based classification of archaeal sequences using compression-based methods.- A first approach to Image Transformation Sequence Retrieval.- Discriminative Learning of Two-Dimensional Probabilistic Context-Free Grammars for Mathematical Expression Recognition and Retrieval.- COMPUTER VISION.- Golf Swing Sequencing using Computer Vision.- Domain Adaptation in Robotics: A Study Case on Kitchen Utensil Recognition.- An Innovative Vision System for Floor-Cleaning Robots based on YOLOv5.- LIDAR Signature based Node Detection and Classification in graph topological maps for indoor navigation.- Event Vision in Egocentric Human Action Recognition.- An edge-based computer vision approach for determination of sulfonamides in water.- IMAGE PROCESSING.- Visual Semantic Context Encoding for Aerial Data Introspection and Domain Prediction.- An End-to-End Approach for Seam Carving Detection using Deep Neural Networks.- Proposal of a comparative framework for face super-resolution algorithms in forensics.- On the use of Transformers for end-to-end Optical Music Recognition.- Retrieval of Music-Notation Primitives via Image-to-Sequence.- Digital image conspicuous features classification using TLCNN model with SVM classifier.- Contribution of low, mid and high-level image features in predicting human similarity judgements.- On the Topological Disparity Characterization of Square-pixel Binary Image Data by a Labeled Bipartite Graph.- Learning Sparse Masks for Diffusion-based Image Inpainting.- Extracting Descriptive Words from Untranscribed Handwritten Images.- OTHER APPLICATIONS.- GMM-aided DNN Bearing Fault Diagnosis using Sparse Autoencoder Feature Extraction.- Identification of External Defects on FruitsUsing Deep Learning.- Improving Action Quality Assessment using Weighted Aggregation.- Improving Licence Plate Detection using Generative Adversarial Networks.- Film shot type classification based on camera movement styles.- The CleanSea Set: A Benchmark Corpus for Underwater Debris Detection and Recognition.- A case of study on traffic cone detection for autonomous racing on a Jetson platform.- Energy savings in residential buildings based on adaptive thermal comfort models.- Opt-SSL: An Enhanced Self-Supervised Framework for Food Recognition.- Using bus tracking data to detect potential hazard driving zones.- Dynamic PCA based statistical monitoring of air pollutant concentrations in wildfire scenarios.

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Book SynopsisThis book constitutes the proceedings of the 16th Chinese Conference on Biometric Recognition, CCBR 2022, which took place in Beijing, China, in November 2022.The 70 papers presented in this volume were carefully reviewed and selected from 115 submissions. The papers cover a wide range of topics such as Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking; Gesture and Action Recognition; Affective Computing and Human-Computer Interface; Speaker and Speech Recognition; Gait, Iris and Other Biometrics; Multi-modal Biometric Recognition and Fusion; Quality Evaluation and Enhancement of Biometric Signals; Animal Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.Table of ContentsFingerprint, Palmprint and Vein Recognition.- A Finger BiModal Fusion Algorithm based on Improved DenseNet.- A lightweight segmentation network based on extraction.- A novel multi-layered minutiae extractor based on OCT fingerprints.- An overview and forecast of biometric recognition technology used in forensic science.- Combining Band-Limited OTSDF Filter and Directional Representation for Palmprint Recognition.- Cross-Dataset Image Matching Network for Heterogeneous Palmprint Recognition.- DUAL MODE NEAR-INFRARED SCANNER FOR IMAGING DORSAL HAND VEINS.- Multi-Stream Convolutional Neural Networks Fusion for Palmprint Recognition.- Multi-view Finger Vein Recognition using Attention-based MVCNN.- SELECTIVE DETAIL ENHANCEMENT ALGORITHM FOR FINGER VEIN IMAGES.- SP-FVR: SuperPoint-based Finger Vein Recognition.- TransFinger: Transformer based Finger Tri-modal Biometrics.- Face Detection, Recognition and Tracking.- A Survey of Domain Generalization-based Face Anti-spoofing.- An Empirical Comparative Analysis of Africans with Asians using DCNN Facial Biometric Models.- Disentanglement of Deep Features for Adversarial Face Detection.- Estimation of Gaze-Following Based on Transformer and the Guiding Offset.- Learning Optimal Transport Mapping of Joint Distribution for Cross-Scenario Face Anti-Spooffing.- MLFW: A Database for Face Recognition on Masked Faces.- Multi-scale object detection algorithm based on adaptive feature fusion.- Sparsity-Regularized Geometric Mean Metric Learning for Kinship Verification.- YoloMask: An Enhanced YOLO Model for Detection of Face Mask Wearing Normality, Irregularity and Spoofing.- Gesture and Action Recognition.- Adaptive Joint Interdependency Learning for 2D Occluded Hand Pose Estimation.- Contrastive and Consistent Learning for Unsupervised Human Parsing.- Dynamic Hand Gesture Authentication Based on Improved Two-stream CNN.- Efficient Video Understanding-based Random Hand Gesture Authentication.- Multidimension Joint Networks for Action Recognition.- Multi-Level Temporal-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition.- Research on Gesture Recognition of Surface EMG Based on Machine Learning.- Affective Computing and Human-Computer Interface.- Adaptive Enhanced Micro-expression Spotting Network based on Multi-stage Features Extraction.- Augmented Feature Representation with Parallel Convolution for Cross-domain Facial Expression Recognition.- Hemispheric Asymmetry Measurement Network for Emotion Classification.- Human Action Recognition Algorithm of Non-Local Two-Stream Convolution Network Based on Image Depth Flow.- Synthetic Feature Generative Adversarial Network for Motor Imagery Classification: Create Feature from Sampled Data.- Speaker and Speech Recognition.- An End-to-end Conformer-based Speech Recognition Model for Mandarin Radiotelephony Communications in Civil Aviation.- ATRemix: An Auto-Tune Remix Dataset for Singer Recognition.- Low-resource speech keyword search based on residual neural network.- Online Neural Speaker Diarization with Core Samples.- Pose-unconstrainted 3D Lip Behaviometrics via Unsupervised Symmetry Correction.- Virtual Fully-Connected Layer for a Large-Scale Speaker Verification Dataset.- Gait, Iris and Other Biometrics.- A Simple Convolutional Neural Network for Small Sample Multi-lingual Offline Handwritten Signature Recognition.- Attention Skip Connection Dense Network for Accurate Iris Segmentation.- Gait Recognition with Various Data Modalities: A Review.- INCREMENTAL EEG BIOMETRIC RECOGNITION BASED ON EEG RELATION NETWORK.- Salient Foreground-Aware Network for Person Search.- Shoe print retrieval algorithm based on improved ecientnetV2.- Multi-modal Biometric Recognition and Fusion.- A novel dual-modal biometric recognition method based on weighted joint group sparse representation classification.- FINGER TRIMODAL FEATURES CODING FUSION METHOD.- Fusion of Gait and Face for Human Identification at the Feature Level.- Gait Recognition in Sensing Insoles: a study based on a Hybrid CNN-Attention-LSTM Network.- Identity Authentication Using a Multimodal Sensing Insole a Feasibility Study.- MDF-Net: Multimodal Deep Fusion for Large-scale Product Recognition.- Survey on Deep Learning based Fusion Recognition of Multimodal Biometrics.- Synthesizing Talking Face Videos with a Spatial Attention Mechanism.- Quality Evaluation and Enhancement of Biometric Signals.- Blind Perceptual Quality Assessment for Single Image Motion Deblurring.- Low-illumination Palmprint Image Enhancement Method Based On U-Net Neural Network.- Texture-guided multiscale feature learning network for palmprint image quality assessment.- Animal Biometrics.- An Adaptive Weight Joint Loss Optimization For Dog Face Recognition.- Improved YOLOv5 for Dense Wildlife Object Detection.- Self-Attention based Cross-level Fusion Network for Camou aged Object Detection.- Trustyworth, Privacy and Persondal Data Security.- Face Forgery Detection by Multi-dimensional Image Decomposition.- IrisGuard: Image Forgery Detection for Iris Anti-spooffing.- Multi-branch network with circle loss using voice conversion and channel robust data augmentation for synthetic speech detection.- Spoof Speech Detection Based on Raw Cross-dimension Interaction Attention Network.- Medical and Other Applications.- A Deformable Convolution Encoder with Multi-Scale Attention Fusion Mechanism for Classification of Brain Tumor MRI Images.- GI Tract Lesion Classification Using Multi-task Capsule Networks with Hierarchical Convolutional Layers.- Grading Diagnosis of Sacroiliitis in CT Scans Based on Radiomics and Deep Learning.- Noninvasive blood pressure waveform measurement method based on CNN-LSTM.- Recurrence Quantification Analysis of Cardiovascular System During Cardiopulmonary Resuscitation.- UAV AERIAL PHOTOGRAPHY TRAFFIC OBJECT DETECTION BASED ON LIGHTWEIGHT DESIGN AND FEATURE FUSION.- UMixer: A novel U-shaped convolutional mixer for multi-scale feature fusion in Medical Image Segmentation.

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Book SynopsisThis book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022.The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: healthcare: medical imaging and informatics; computer vision and pattern recognition; internet of things and security; and signal processing and machine learning.Table of Contents​Healthcare: medical imaging and informatics.- Data Characterization for Reliable AI in Medicine.- Alzheimer’s Disease Detection using Ensemble Learning and Artificial Neural Networks.- Semi-supervised Multi-domain Learning for Medical Image Classification.- Significant CC400 functional brain parcellations based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder detection.- 2D respiratory sound analysis to detect lung abnormalities.- Analyzing Chest X-Ray to Detect the Evidence of Lung Abnormality due to Infectious Disease.- Chest X-ray Image Super-resolution via Deep Contrast Consistent Feature Network.- A Novel Approach to Enhance Effectiveness of Image Segmentation Techniques on Extremely Noisy Medical Images.- Federated Learning for Lung Sound Analysis.- Performance Analysis of CNN and Quantized CNN Model for Rheumatoid Arthritis Identification using Thermal Image.- Image Processing and Pattern Recognition of Micropores of Polysulfone Membrane for the Bio-separation of Viruses from Whole Blood.- An Extreme Learning Machine-basedAutoEncoder (ELM-AE)for denoising knee X-ray images and grading knee osteoarthritis severity.- Computer Vision and Pattern Recognition.- Motor Imagery Classification CombiningRiemannian Geometry and Artificial Neural Networks.- Autism Spectrum Disorder Detection using Transfer Learning with VGG 19, Inception V3 and DenseNet 201.- Shrimp Shape Analysis by a Chord LengthFunction Based Methodology.- Supervised Neural Networks for Fruit Identification.- Targeted Clean-Label Poisoning Attacks On Federated Learning.- Building Marathi SentiWordNet.- A computational study on calibrated VGG19 formultimodal learning and representation insurveillance.- Automated Deep Learning based approach for Albinism Detection.- A Deep learning-based regression scheme for angle estimation in image dataset.- The classification of Native and Invasive Speciesin North America: A Transfer Learning and Random Forest Pipeline.- Internet of Things and Security.- Towards a Digital Twin Integrated DLT and IoT-based Automated Healthcare Ecosystem.- Enabling Edge Devices using Federated Learning and Big Data for Proactive Decisions.- IoT and Blockchain oriented gender determination of Bangladeshi populations.- Federated Learning based secured computational offloading in cyber-physical IoST systems.- A Hybrid Campus Security System Combined ofFace, Number-plate, and Voice Recognition.- Signal Processing and Machine.- Single-trial detection of event-related potentials with artificial examples based on coloring transformation.- Identifying the relationship between hypothesis and premise.- Data Poisoning Attack by Label Flipping onSplitFed Learning.- A Deep Learning-powered voice-enabled mathtutor for kids.

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Book SynopsisThe 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online.The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-Level Autonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspects of Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.

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Book SynopsisThis two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in Lapland, Finland, in April 2023.The 67 revised papers presented were carefully reviewed and selected from 108 submissions. The contributions are structured in topical sections on datasets and evaluation; action and behaviour recognition; image and video processing, analysis, and understanding; detection, recognition, classification, and localization in 2D and/or 3D; machine learning and deep learning; segmentation, grouping, and shape; vision for robotics and autonomous vehicles; biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; vision applications and systems.Table of ContentsDatasets and Evaluation.- Action and Behaviour Recognition.- Image and Video Processing, Analysis, and Understanding.- Detection, Recognition, Classification, and Localization in 2D and/or 3D.- Machine Learning and Deep Learning.

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Book SynopsisThe five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023.The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality.The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-class plenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations. Table of ContentsComputer Vision and Pattern Recognition: Attention-based Global-Local Graph Learning for Dynamic Facial Expression Recognition.- Implicit Representation for Interacting Hands Reconstruction from Monocular Color Images.- HQFS: High-quality Feature Selection for Accurate Change Detection.- FAFormer: Foggy Scene Semantic Segmentation by Fog-invariant Auxiliary Domain adaptation.- Video-based Person Re-identification With Long Short-Term Representation Learning.- Multi-semantic fusion model for generalized zero-shot skeleton-based action recognition.- Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation.- SECT: Sentiment-Enriched Continual Training for Image Sentiment Analysis.- Learn to Enhance the Negative Information in Convolutional Neural Network.- Task-Agnostic Generalized Meta-Learning based on MAML for Few-shot Bearing Fault Diagnosis.- Weakly Supervised Image Matting via Patch Clustering.- Attention-guided Motion Estimation for Video Compression.- Cloud Detection from Remote Sensing Images by Cascaded U-shape Attention Networks.- Ar3dHands: A Dataset and Baseline for Real-time 3D Hand Pose Estimation from Binocular Distorted Images.- TANet: Adversarial Network via Tokens Transformer for Universal Domain Adaptation.- GLM: A Model Based on Global-Local Joint Learning for Emotion Recognition from Gaits using Dual-Stream Network.- HuMoMM: A Multi-Modal Dataset and Benchmark for Human Motion Analysis.- Enhanced Frequency Information for Image Dehazing.- Energy-Efficient Robotic Arm Control Based on Differentiable Spiking Neural Networks.- Uncover the Body: Occluded Person Re-identification via Masked Image Modeling.- Enhancing Adversarial Transferability From the Perspective of Input Loss Landscape.- Local-Fusion Diffusion Model for Enhancing Few-Shot Image Generation.- Table Structure Recognition of Historical Dongba Documents.- LE2Fusion: A novel local edge enhancement module for infrared and visible image fusion.- Complex Glyph Enhancement for License Plate Generation.- High Fidelity Virtual Try-On via Dual Branch Bottleneck Transformer.- A Road Damage Segmentation Method for Complex Environment Based on Improved UNet.- Structural Reparameterization Network on Point Cloud Semantic Segmentation.- Physical Key Point Detection Algorithm based on Multi-Scale Feature Fusion.- Skeleton Based Dynamic Hand Gesture Recognition using Short Term Sampling Neural Networks (STSNN).- Face Anti-spoofing Based on Client Identity Information and Depth Map.- Attention-based RGBD Fusenet for Monocular 3D Body Geometry and Pose Reconstruction.- Distortion-Aware Mutual Constraint for Screen Content Image Quality Assessment.- Visual Realism Assessment for Face-swap Videos.- 360° Omnidirectional Salient Object Detection with Multi-scale Interaction and Densely-connected Prediction.

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Book SynopsisDas Rahmenthema der 25. Jahrestagung der Deutschen Gesellschaft fur Medizinische DOkumentation, Informatik und Statistik e. V. - Nachsorge und Krankheitsverlaufsanalyse - hat einen engen Bezug zu aktuellen Problemen des Gesundheitswesens. Insbesondere in Kliniken, in denen schwere Erkrankungen mit modernen erfolgversprechenden Massnahmen be- handelt werden, wird die Notwendigkeit einer systematischen weiteren Uberwachung dieser Patienten immer dringlicher erachtet. Die Beob- achtung des weiteren Schicksals, die arztliche Betreuung und die Bewertung der zeitlichen Verlaufe ergeben Ansatzpunkte fur die weitere Verbesserung der Therapie. Diese Aufgabe lasst sich nur be- waltigen, wenn die dabei auftretenden Probleme der planvollen Doku- mentation, der Informationsubermittlung, der Datenspeicherung und der statistischen Auswertung von den Vertretern unseres Faches aktiv in Angriff genommen werden. Nach 25 Jahren einer sturmischen techno- logischen und Methodenentwicklung ist unsere junge medizinische Dis- ziplin in der Lage - wenn die erforderliche apparative und perso- nelle Ausstattung zur Verfugung steht -, die Probleme der Nachsorge und Krankheitsverlaufsanalyse in Zusammenarbeit mit Klinikern und Allgemeinmedizinern wirksam zu bearbeiten und Ergebnisse zu zeitigen, die fur den Arzt relevant sind. Die Tagung soll dazu Anregungen ver- mitteln und Losungswege aufzeigen. Funf Workshops und apparative, organisatorische und methodische Pro- bleme runden den Bezug unserer Arbeit auf die Probleme der !1edizin von heute ab. Erlangen hat eine traditionelle Verbundenheit mit der technologischen Entwicklung in der Medizin. Auch heute besteht, sowohl in der Medi- zinischen wie in der Technischen Fakultat, auf deren Campus wir tragen, ein waches Interesse fur den humanen Einsatz technologischer Neuerungen, insbesondere auch der elektronischen Datenverarbeitung. L.Table of ContentsErÖffnung der 25. Jahrestagung der Deutschen Gesellschaft FÜr Medizinische Dokumentation, Informatik und Statistik.- Zufall und lebendiges Geschehen.- Nachsorge und Krankheitsverlaufsanalyse-Einführung in die Thematik.- Nachsorge nach Krebsoperationen.- Probleme der Verlaufsbeobachtung und der prognostischen Beurteilung bei Herzkrankheiten.- Prognosestellung beim Rektumkarzinom mit Hilfe des COX-Modells.- Mathematische Modelle zur Analyse des Krankheitsverlaufs von Patienten mit Hirntumoren.- Analyse des Krankheitsverlaufs bei Prostatakarzinompatienten.- Statistische Auswertung des Krankheitsverlaufs von Tumorpatienten am Beispiel einer Studie über Karzinome der Mundhöhle.- Mehrkompartiment-Modelle in der Carcinogenese:Numerische Realisierung der Kleinste-Quadrate-Anpassung von Konzentrationsmessungen in der Maus.- Latenzzeitmessung bei Krebs am Beispiel einer Seite Fall-Kontroll-Studie an Lymphom- und Leukämiefällen in der amerikanischen Reifen- und Gummiindustrie.- Verlaufsuntersuchungen bei oralen Leukoplakien und Carcinomen.- Verteilungsfreie Teststatistiken bei Zen- sorierten Daten - Neue Entwicklungen.- Mathematisches Modell zur Prognose des Krankheitsverlaufs der Hepatitis B.- Methodische Probleme bei Langzeitstudien; insbesondere das Problem des Therapie-Abbruchs.- Nichtparametrischer Vergleich zweier Scharen von Verlaufskurven.- Anwendung eines Kompartimentmodelles zur Beurteilung von Behandlungsmethoden.- Probleme der statistischen Analyse einer Kohlenhydrat-Infusionsstudie.- Parametrische Tests für den Vergleich von Mittelwertsprofilen bei unverbundenen Beobachtungen mit homogenen Varianzen.- Variabilitätsuntersuchungen wesentlicher Spektralparameter im Verlaufe von EEG- Routine-Ableitungen.- Alternativen zur Bonferroni-Prozedur.- Variablenselektion bei multinomialen Klassifikationsproblemen.- Zur Problematik der Beurteilung abhängiger Häufigkeiten.- Explorative Datenanalyse - Schlußfolgerungen aus der Frühjahrstagung.- Die Integration der Nachsorgeorganisation und der Krankheitsverlaufsorganisation in ein allgemeines Befunddokumentationssystem.- Computerunterstützte Nachsorge und Krankheitsverlaufsanalyse – eine Komponente des medizinischen Auswertungssystems WAMAS.- Basisfunktionen für die Analyse von Verlaufsdaten.- ZEISIG Zytologisches Erfassungs- und Informationssystem in der Gynäkologie.- Betriebsärztliche Informationssysteme Schlußfolgerungen aus der Frühjahrstagung 1980.- Paket-Konzept und Refinement-Konstrukt Erste Erfahrungen mit einem Software-Entwicklungs-Instrument.- Verfahren zur Vereinheitlichung der Darstellung und Speicherung von Laborresultaten.- Implementierung eines Datenmodells auf einer operativen Intensivstation.- Das computergestützte Nachsorgesystem der I. Chirutgischen Universitätsklinik in Wien.- Computer-gestützte Nachsorge von Schrittmacher-Patienten.- Befunddokumentation in der hämostaseologischen Ambulanz der Medizinischen Hochschule Hannover.- Zur Frage des Aussagewertes einer routinemäßigen Thoraxübersichtsaufnahme bei der Diagnostik des Emphysems der Quarzstaublunge und dem Cor Pulmonale.- Auswertung von Krankheitsverläufen - Probleme und Lösungsmöglichkeiten: Dargestellt am Beispiel der akuten Virushepatitis.- Stoffwechselmetaboliten-Verlauf unter 48-stündiger Dauerinfusion von Glukose allein und in Mischung mit Sorbit, Fruktose oder Xylit bei Diabetikern.- EDV- Einsatz für die Bakteriologische Verlaufsund Befunddokumentation.- Erfassen und Auswerten von Antibiogrammen.- Institutionskarrieren schizophrener Kranker.- Das Fallregister psychisch Behinderter am PLK Weinsberg. Konzeption, Realisierung und erste Erfahrungen.- Prognose und Probleme der Verlaufsbeobachtung fokaler zerebraler Ischämie/Infarkte bei jungen Erwachsenen.- Langzeitverlauf nach Karotis-Operationen: Bedeutung der Neuropsychiatrischen Symptomatik.- Neuere Entwicklungen und Technologische Möglichkeiten der Mikroelektronik.- Ein Mikrorechner für die Eingliederung eines Analysenautomaten in dezentral organisierte Laborautomatisierungssysteme.- Mikroprozessoreinsatz im Physiologischen Labor.- Zur Bestimmung der Pulswellengeschwindigkeit.- On-line Verarbeitung von Hämoglobin-Reflexionsspektren hoher Repetitionsraten.- Anforderung an ein Mikroprozessorsystem zur Biosignalverarbeitung.- Entwurf und Aufbau eines Mikroprozessorsystems zur Biosignalverarbeitung.- Ein Mikrocomputer als Subsystem im 24-Stunden Betrieb.- Der Mikroprozessor als integrierender Bestandteil eines autonomen Meßplatzes im klinischen Laboratorium.- Implementierung des Programmes HES EKG in vor Ort auswertende Mikroprozessoren.- Erfahrungen im 3-jährigen Einsatz eines dezentralen Dokumentations- und Auskunftssystems für chronisch Kranke mit einem Minicomputer.- Ergebnisbericht der Moderatoren: Workshop 1 Mikroelektronik in der Medizin.- Die Basisdokumentation für Tumorkranke der Arbeitsgemeinschaft Deutscher Tumorzentren (ADT).- Das klinische Krebsregister des Tumorzentrums Köln.- Das Register für Onkologische Nachsorge der GBK in Münster.- Bericht über ein computergestütztes klinischpathologisches Krebsregister der ersten Ausbaustufe.- Ein klinisches Krebsregister als Basis für Nachsorge und statistische Auswertung – ein Erfahrungsbericht.- Das Dokumentations-, Kommunikations- und Organisations-System des Tumorzentrums Heidelberg/ Mannheim mit KRAZTUR.- Computerunterstützte Nachsorge und Basisdokumentation in der Radioonkologie.- Ein Patienteninformationssystem für die Strahlentherapie – Nachsorgeorganisation und Langzeitanalyse -.- Kooperative Dokumentation von Malignomen im Kindesalter.- Computerunterstütztes Magenbiopsieregister.- Computergestützte Erfassung und Nachsorge von Patienten mit kolorektalen Polypen.- Ergebnisbericht der Moderatoren: Workshop 2 Dokumentation, Datenverarbeitung und Statistik in medizinischen Krebszentren.- Therapiestudien im Kontext der Evaluationsforschung.- Organisatorische und methodische Probleme bei der Durchführung kontrollierter Psychopharmakastudien in der Praxis niedergelassener Ärzte.- Methodology and results of a long-term, controlled study of the effectiveness of immunosuppressive treatment of multiple sclerosis.- Der Wirksamkeitsnachweis in der Therapie des Ovarialkarzinoms.- Strategien zum Abbruch von kontrollierten Therapiestudien - Probleme und gegenwärtig diskutierte Ansätze.- Integrierung von Beobachtungen aus dem nichtärztlichen Bereich in die Krankheitsverlaufsanalysen.- Ergebnisbericht der Moderatoren: Workshop 3 Kontrollierte klinische Studien.- Klinische Datenverarbeitung in der Fakultät für Medizin der Technischen Universität München.- Klinische Basisdokumentation als Teil eines Informations-Systems in einem Rehabilitations-Krankenhaus Konzeption und Implementierung.- Klinische Dokumentation an einer Neurochirurgischen Klinik.- Dialogunterstützte klinische Dokumentation am Universitätsklinikum Göttingen.- Ergebnisbericht der Moderatoren: Workshop 4 Dokumentation und Verarbeitung klinischer Daten.- Verwaltung und Krankenhaus-Informationssystem Eine Strukturanalyse.- Untersuchung zur Inanspruchnahme eines Universitäts klinikums im stationären und ambulanten Bereich - durchgeführt an den Universitätskliniken Marburg.- Sind “Kurzlieger” einer Medizinischen Klinik für die Unterbringung in Hostelbetten geeignet? Die Bedeutung der Diagnosestatistik bei einer Planungsaufgabe.- Personalbedarfsplanung für den Krankenhaus-Pflegebereich mit Modellen der linearen Programmierung.- Lagerhaltung verderblicher medizinischer Güter.- Bedarfsgesteuerte Blutspenden mit TRAMIDIS.- Ergebnisbericht der Moderatoren: Workshop 5 Medizinökonomie.- Autorenverzeichnis.

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Book SynopsisIm Buch „Bildverarbeitung“ finden Sie Grundlagen für Studium und Praxis über die Verarbeitung von digitalen Bildern. Beide Bände des Standardwerks Computergrafik und Bildverarbeitung setzen bewusst den Fokus auf Grundlagen und Anwendungen. Das erfolgreiche didaktische Konzept wurde aktualisiert und ergänzt.Der zweite Band des Standardwerks Computergrafik und Bildverarbeitung führt den Leser durch die Themen der Bildverarbeitung. Der Fokus liegt auf der anschaulichen Erklärung der Grundlagen der Bildverarbeitung. Profitieren Sie von dem kostenlosen Online-Service mit Beispiel-Software und Bildverarbeitungswerkzeugen.Table of ContentsZusammenhang Computergrafik – Bildverarbeitung - Digitale Bilddaten - Modifikation der Grauwerte - Operationen im Ortsbereich - Mathematische Morphologie - Kanten und Linien - Operationen im Frequenzbereich - Modifikation der Ortskoordinaten - Demosaicing - Szenenanalyse - Merkmale: Grauwert und Farbe - Merkmale aus mehrkanaligen Bildern - Merkmale aus Bildfolgen - Merkmale aus Umgebungen: Texturen - Korrespondenzen in Bildern - Gauß- und Laplace-Pyramiden - Scale Space Filtering - Baumstrukturen - Segmentierung und numerische Klassifikation - Klassifizierung mit neuronalen Netzen - Segmentierung mit Fuzzy Logic - Run-Length-Coding - Einfache segmentbeschreibende Parameter - Das Strahlenverfahren - Neuronale Netze und Segmentbeschreibung - Kalman-Filter - Zusammenfassen von Segmenten zu Objekten

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Book SynopsisIn the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles. Table of ContentsIntroduction.- RelatedWork.- Development of Pattern Discovery Algorithms for Automotive Time Series.- Pattern-based Representative Cycles.- Evaluation.- Conclusion.

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Book SynopsisThis book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.Table of ContentsApplication of Big Data and Machine Learning for Astrological Predictions.- A Comparative Analysis of Machine Learning Approaches in Personality Prediction Using MBTI.- Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN.- Object Detection and Classification from a Real Time Video using SSD and YOLO Models.- A skin cancer image detection interface tool using VLF support vector machine classification.- Convolutional Neural Networks based Sentence Level Classification of Crime Documents.- An optimum fuzzy EOQ model for deteriorating items with shortages in a particular period.- Bangla Spoken numerals recognition by using HMM.

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Book SynopsisThis book constitutes the refereed proceedings of the 16th Conference on Image and Graphics Technologies and Applications, IGTA 2021, held in Beijing, China in June, 2021. The 21 papers presented were carefully reviewed and selected from 86 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphics and VR, as well as image technology applications. The volume contains the following thematic blocks: image processing and enhancement techniques (image information acquisition, image/video coding, image/video transmission, image/video storage, compression, completion, dehazing, reconstruction and display, etc.); biometric identification techniques (biometric identification and authentication techniques including face, fingerprint, iris and palm-print, etc.); machine vision and 3D reconstruction (visual information acquisition, camera calibration, stereo vision, 3D reconstruction, and applications of machine vision in industrial inspection, etc.); image/video big data analysis and understanding (object detection and recognition, image/video retrieval, image segmentation, matching, analysis and understanding); computer graphics (modeling, rendering, algorithm simplification and acceleration techniques, realistic scene generation, 3D reconstruction algorithm, system and application, etc.); virtual reality and human-computer interaction (virtual scene generation techniques, tracing and positioning techniques for large-scale space, augmented reality techniques, human-computer interaction techniques based on computer vision, etc.); applications of image and graphics (image/video processing and transmission, biomedical engineering applications, information security, digital watermarking, text processing and transmission, remote sensing, telemetering, etc.); other research works and surveys related to the applications of image and graphics technology.Table of ContentsImage processing and enhancement techniques.- Biometric identification techniques.- Machine vision and 3D reconstruction.- Image/Video big data analysis and understanding.- Computer graphics.- Virtual reality and human-computer interaction.- Applications of image and graphics.

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Book SynopsisThe four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications.The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.Table of Contents​Theory and Algorithms.- Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning.- Sequential three-way rules class-overlap under-sampling based on fuzzy hierarchical subspace for imbalanced data.- Two-stage Multilayer Perceptron Hawkes Process.- The Context Hierarchical Contrastive Learning for Time Series in Frequency Domain.- Hawkes Process via Graph Contrastive Discriminant representation Learning and Transformer capturing long-term dependencies.- A Temporal Consistency Enhancement Algorithm Based On Pixel Flicker Correction.- Data representation and clustering with double low-rank constraints.- RoMA: a Method for Neural Network Robustness Measurement and Assessment.- Independent Relationship Detection for Real-Time Scene Graph Generation.- A multi-label feature selection method based on feature graph with ridge regression and eigenvector centrality.- O3GPT: A Guidance-Oriented Periodic Testing Framework with Online Learning, Online Testing, and Online Feedback.- AFFSRN: Attention-Based Feature Fusion Super-Resolution Network.- Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks.- Graph Attention Transformer Network for Robust Visual Tracking.- GCL-KGE:Graph Contrastive Learning for Knowledge Graph Embedding.- Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments.- Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA model.- A High-Speed SSVEP-Based Speller Using Continuous Spelling Method.- AAT: Non-Local Networks for Sim-to-Real Adversarial Augmentation Transfer.- Aggregating Intra-class and Inter-class information for Multi-label Text Classification.- Fast estimation of multidimensional regression functions by the Parzen kernel-based method.- ReGAE: Graph autoencoder based on recursive neural networks.- Efficient Uncertainty Quantification for Under-constraint Prediction following Learning using MCMC.- SMART: A Robustness Evaluation Framework for Neural Networks.- Time-aware Quaternion Convolutional Network for Temporal Knowledge Graph Reasoning.- SumBART - An improved BART model for abstractive text summarization.- Saliency-Guided Learned Image Compression for Object Detection.- Multi-Label Learning with Data Self-Augmentation.- MnRec: A News Recommendation Fusion Model Combining Multi-granularity Information.- Infinite Label Selection Method for Mutil-label Classification.- Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning.- Searching for Textual Adversarial Examples with Learned Strategy.- Multivariate Time Series Retrieval with Binary Coding from Transformer. -Learning TSP Combinatorial Search and Optimization with Heuristic Search.- A Joint Learning Model for Open Set Recognition with Post-processing.- Cross-Layer Fusion for Feature Distillation.- MCHPT: A Weakly Supervise Based Merchant Pre-trained Model.- Progressive Latent Replay for efficient Generative Rehearsal.- Generalization Bounds for Set-to-Set Matching with Negative Sampling.- ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets.- Countering the Anti-detection Adversarial Attacks.- Evolving Temporal Knowledge Graphs by Iterative Spatio-Temporal Walks.- Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information.- Generative Generalized Zero-Shot Learning based on Auxiliary-Features.- Learning Stable Representations with Progressive Autoencoder (PAE).- Effect of Image Down-sampling on Detection of Adversarial Examples .- Boosting the Robustness of Neural Networks with M-PGD.- StatMix: Data augmentation method that relies on image statistics in federated learning.- Classification by Components Including Chow's Reject Option. -Community discovery algorithm based on improved deep sparse autoencoder.- Fairly Constricted Multi-Objective Particle Swarm Optimization.- Argument Classification with BERT plus Contextual, Structural and Syntactic Features as Text.- Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient.- Optimizing Knowledge Distillation Via Shallow Texture Knowledge Transfer.- Unsupervised Domain Adaptation Supplemented with Generated Images.- MAR2MIX: A Novel Model for Dynamic Problem in Multi-Agent Reinforcement Learning.- Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs.- Deep Contrastive Multi-view Subspace Clustering.

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Book Synopsis1. Introduction.- 2. Fingerprint Recognition.- 3. Face Recognition.- 4. Iris Recognition.- 5. Additional Biometric Traits.- 6. Biometrics.

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