Pattern Recognition: 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23–26, 2025, Proceedings - Couverture souple
Synopsis
This book constitutes the refereed proceedings of the 47th DAGM German Conference on Pattern Recognition, DAGM-GCPR 2025, held in Freiburg, Germany, during September 23-26, 2025.
The 40 full papers presented in this volume were carefully reviewed and selected from 85 submissions.
They are grouped into the following topics: Computer Vision Systems and Applications; Video Analysis and Synthesis; Machine Learning Methods; Applications of Foundation Models; Safety and Robustness; 3D Perception and Reconstruction; Photogrammetry and Remote Sensing.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Pattern Recognition (eng)
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Pattern Recognition (Paperback)
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Springer Nature Switzerland AG, Cham, 2026
ISBN 10 : 3032128390
ISBN 13 : 9783032128393
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Paperback. Etat : new. Paperback. This book constitutes the refereed proceedings of the 47th DAGM German Conference on Pattern Recognition, DAGM-GCPR 2025, held in Freiburg, Germany, during September 23-26, 2025.The 40 full papers presented in this volume were carefully reviewed and selected from 85 submissions. They are grouped into the following topics: Computer Vision Systems and Applications; Video Analysis and Synthesis; Machine Learning Methods; Applications of Foundation Models; Safety and Robustness; 3D Perception and Reconstruction; Photogrammetry and Remote Sensing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783032128393
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Pattern Recognition
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Springer, Berlin, Springer Nature Switzerland, Springer, 2026
ISBN 10 : 3032128390
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 47th DAGM German Conference on Pattern Recognition, DAGM-GCPR 2025, held in Freiburg, Germany, during September 23-26, 2025.The 40 full papers presented in this volume were carefully reviewed and selected from 85 submissions.They are grouped into the following topics: Computer Vision Systems and Applications; Video Analysis and Synthesis; Machine Learning Methods; Applications of Foundation Models; Safety and Robustness; 3D Perception and Reconstruction; Photogrammetry and Remote Sensing. 649 pp. Englisch. N° de réf. du vendeur 9783032128393
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Pattern Recognition: 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23-26, 2025, Proceedings
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Pattern Recognition: 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23-26, 2025, Proceedings
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Pattern Recognition: 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23-26, 2025, Proceedings
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Pattern Recognition: 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 2326, 2025, Proceedings (Lecture Notes in Computer Science, 16125)
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Pattern Recognition
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Springer, Springer Jan 2026, 2026
ISBN 10 : 3032128390
ISBN 13 : 9783032128393
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Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -.- Computer Vision Systems and Applications.- Box it and Track it: A Weakly Supervised Framework for Cell Tracking.- A Cascaded Dilated Convolution Approach for Mpox Lesion Classification.- HistDiST: Histopathological Diffusion-based Stain Transfer.- Deep Learning-Assisted Dynamic Mode Decomposition for Non-resonant Background Removal in CARS Spectroscopy.- ?-Quant: Towards Learnable Quantization for Low-bit PatternRecognition.- EVCS: A Benchmark for Fine-Grained Electric Vehicle ChargingStation Detection.- Video Analysis and Synthesis.- SegSLR: Promptable Video Segmentation for Isolated Sign LanguageRecognition.- Video Object Segmentation-aware Audio Generation.- MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices.- VisualChef: Generating Visual Aids in Cooking via Mask Inpainting.- StorySync: Training-Free Subject Consistency via Region Harmonization.- Structured Universal Adversarial Attacks on Object Detection forVideo Sequences.- Road Obstacle Video Segmentation.- Machine Learning Methods.- Don't Miss Out on Novelty: Importance of Novel Features for DeepAnomaly Detection.- LADB: Latent Aligned Diffusion Bridges for Semi-Supervised DomainTranslation.- On the Dangers of Bootstrapping Generation for Continual Learningand Beyond.- Combined Image Data Augmentations diminish the benefits ofAdaptive Label Smoothing.- Efficient Masked Attention Transformer for Few-Shot Classificationand Segmentation.- Applications of Foundation Models.- Using Knowledge Graphs to harvest datasets for efficient CLIP modeltraining.- Unlocking In-Context Learning for Natural Datasets Beyond LanguageModelling.- Investigating Structural Pruning and Recovery Techniques forCompressing Multimodal Large Language Models: An Empirical Study.- Assessing Foundation Models for Mold Colony Detection with LimitedTraining Data.- Common Data Properties Limit Object-Attribute Binding in CLIP.- subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validationin Drug Discovery.- Safety and Robustness.- synth-dacl: Does Synthetic Defect Data Enhance SegmentationAccuracy and Robustness for Real-World Bridge Inspections .- FedPCE: Federated Personalized Client Embeddings for Post-trainingKnowledge Distillation.- Object Risk Estimation for Autonomous Driving Safety.- Rethinking Semi-supervised Segmentation Beyond Accuracy:Robustness and Reliability.- Detection of Synthetic Face Images: Accuracy, Robustness, Generalization.- 3D Perception and Reconstruction.- MT-Occ: Single-View 3D Occupancy Prediction via Multi-Task Distillation.- Hierarchical Insights: Exploiting Structural Similarities for Reliable 3DSemantic Segmentation.- CoProU-VO: Combining Projected Uncertainty for End-to-EndUnsupervised Monocular Visual Odometry.- Combining Absolute and Semi-Generalized Relative Poses for VisualLocalization.- Graph Roof Reconstruction with Synthetic Data from Misaligned Labels.- sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for3D Reconstruction from Sparse-Views.- Photogrammetry and Remote Sensing.- NaT-ReX: Naturalness Assessment with Transformer-Based ReliableExplainability.- Semantic Segmentation of Structural Damage: A Comparative Studyof YOLO11 and Encoder-Decoder Networks.- Can Multitask Learning Enhance Model Explainability .- Out-of-Distribution Detection in LiDAR Semantic Segmentation UsingEpistemic Uncertainty from Hierarchical GMMs.- RadarSeq: A Temporal Vision Framework for User Churn Predictionvia Radar Sequence Chart.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 668 pp. Englisch. N° de réf. du vendeur 9783032128393
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Pattern Recognition | 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23-26, 2025, Proceedings
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Taschenbuch. Etat : Neu. Pattern Recognition | 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23-26, 2025, Proceedings | Margret Keuper (u. a.) | Taschenbuch | xv | Englisch | 2026 | Springer | EAN 9783032128393 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 134424929
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Pattern Recognition : 47th DAGM German Conference, DAGM GCPR 2025, Freiburg, Germany, September 23-26, 2025, Proceedings
Edité par
Springer, Springer International Publishing, 2026
ISBN 10 : 3032128390
ISBN 13 : 9783032128393
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 47th DAGM German Conference on Pattern Recognition, DAGM-GCPR 2025, held in Freiburg, Germany, during September 23-26, 2025.The 40 full papers presented in this volume were carefully reviewed and selected from 85 submissions.They are grouped into the following topics: Computer Vision Systems and Applications; Video Analysis and Synthesis; Machine Learning Methods; Applications of Foundation Models; Safety and Robustness; 3D Perception and Reconstruction; Photogrammetry and Remote Sensing. N° de réf. du vendeur 9783032128393
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