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| Link zu diesem Datensatz | https://d-nb.info/1347219854 |
| Art des Inhalts | Konferenzschrift |
| Titel | Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part I / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu |
| Person(en) |
Lin, Zhouchen (Herausgeber) Cheng, Ming-Ming (Herausgeber) He, Ran (Herausgeber) Ubul, Kurban (Herausgeber) Silamu, Wushouer (Herausgeber) Zha, Hongbin (Herausgeber) Zhou, Jie (Herausgeber) Liu, Cheng-Lin (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XIV, 569 p. 155 illus., 149 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9784-86-8 Printed edition:: ISBN: 978-981-9784-88-2 |
| Inhalt | Cluster center initialization for fuzzy K-modes clustering using outlier detection technique -- Few-Shot Class-Incremental Learning via Cross-Modal Alignment with Feature Replay -- Generalizing soft actor-critic algorithms to discrete action spaces -- LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier -- Exploring Out-of-distribution Scene Text Recognition for Driving Scenes with Hybrid Test-time Adaptation -- PhaseNN: An Unsupervised and Spatial-Frequency Integrated Network for Phase Retrieval -- Sequential Transfer of Pose and Texture for Pose Guided Person Image Generation -- Balanced Clustering with Discretely Weighted Pseudo-Label -- Tensor Robust Principal Component Analysis with Hankel Structure -- Self-Distillation via Intra-class Compactness -- An Enhanced Dual-Channel-Omni-Scale 1DCNN for Fault Diagnosis -- Visual-Guided Reasoning Path Generation for Visual Question Answering -- FedGC: Federated Learning on Non-IID Data via Learning from Good Clients -- Inter-class Correlation-based Online Knowledge Distillation -- Accelerating Domain Adaptation with Cascaded Adaptive Vision Transformer -- Multistage Compression Optimization Strategies for Accelerating Diffusion Models -- Defending Adversarial Patches via Joint Region Localizing and Inpainting -- Multi-view Spectral Clustering Based on Topological Manifold Learning -- Client selection mechanism for federated learning based on class imbalance -- A New Paradigm for Enhancing Ensemble Learning through Parameter Diversification -- Adaptive Multi-Information Feature Fusion MLP with Filter Enhancement for Sequential Recommendation -- FedDCP: Personalized Federated Learning Based on Dual Classifiers and Prototypes -- AtomTool: Empowering Large Language Models with Tool Utilization Skills -- Making the Primary Task Primary: Boosting Few-Shot Classification by Gradient-biased Multi-task Learning -- Cascade Large Language Model via In-Context Learning for Depression Detection on Chinese Social Media -- TRAE : Reversible Adversarial Example with Traceability -- A Two-stage Active Domain Adaptation Framework for Vehicle Re-Identification -- FBR-FL: Fair and Byzantine-Robust Federated Learning via SPD Manifold -- SecBFL-IoV: A Secure Blockchain-Enabled Federated Learning Framework for Resilience against Poisoning Attacks in Internet of Vehicles -- Adapt and Refine: A Few-Shot Class-Incremental Learner via Pre-trained Models -- Learning Fully Parametric Subspace Clustering -- A Comprehensive Exploration on Detecting Fake Images Generated by Stable Diffusion -- Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning -- SACTGAN-EE imbalanced data processing method for credit default prediction -- FedHC: Learning Imbalanced Clusters via Federated Hierarchical Clustering -- Enhancing Time Series Classification with Explainable Time-frequency Features Representation -- Adaptive Unified Framework with Global Anchor Graph for Large-scale Multi-view Clustering -- SLRL: Structured Latent Representation Learning for Multi-view Clustering |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2411050325320.377388063419 DOI: 10.1007/978-981-97-8487-5 |
| URL | https://doi.org/10.1007/978-981-97-8487-5 |
| ISBN/Einband/Preis | 978-981-97-8487-5 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15031 |
| DDC-Notation | 006.31 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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