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| Link zu diesem Datensatz | https://d-nb.info/1377290980 |
| Art des Inhalts | Konferenzschrift |
| Titel | Pattern Recognition : 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part I / edited by Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel |
| Person(en) |
Cremers, Daniel (Herausgeber) Lähner, Zorah (Herausgeber) Moeller, Michael (Herausgeber) Nießner, Matthias (Herausgeber) Ommer, Björn (Herausgeber) Triebel, Rudolph (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XVII, 365 p. 113 illus., 103 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-85180-3 Printed edition:: ISBN: 978-3-031-85182-7 |
| Inhalt | -- Clustering and Segmentation. -- PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks. -- A State-of-the-Art Cutting Plane Algorithm for Clique Partitioning. -- Self-Supervised Semantic Segmentation from Audio-Visual Data. -- BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation. -- Learning Techniques. -- FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks. -- Self-Masking Networks for Unsupervised Adaptation. -- A Theoretical Formulation on the Use of Multiple Positive Views in Contrastive Learning -- Decoupling of neural network calibration measures. -- Examining Common Paradigms in Multi-Task Learning. -- DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning. -- Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval .. -- Anomaly Detection with Conditioned Denoising Diffusion Models. -- Medical and Biological Applications. -- SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network. -- Foundation Models Permit Retinal Layer Segmentation Across OCT Devices. -- Correlation Clustering of Organoid Images. -- Animal Identification with Independent Foreground and Background Modeling. -- Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks. -- Bigger Isn’t Always Better: Towards a General Prior for Medical Image Reconstruction. -- Uncertainty and Explainability. -- Latent Diffusion Counterfactual Explanations. -- Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations. -- Uncertainty Voting Ensemble for Imbalanced Deep Regression. -- Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2509240406246.625480421542 DOI: 10.1007/978-3-031-85181-0 |
| URL | https://doi.org/10.1007/978-3-031-85181-0 |
| ISBN/Einband/Preis | 978-3-031-85181-0 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15297 |
| DDC-Notation | 006.42 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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