• Produktbild: PRICAI 2024: Trends in Artificial Intelligence
  • Produktbild: PRICAI 2024: Trends in Artificial Intelligence
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PRICAI 2024: Trends in Artificial Intelligence 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18–24, 2024, Proceedings, Part IV

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.11.2024

Herausgeber

Rafik Hadfi + weitere

Verlag

Springer Singapore

Seitenzahl

443

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

703 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9601-24-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.11.2024

Herausgeber

Verlag

Springer Singapore

Seitenzahl

443

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

703 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9601-24-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: PRICAI 2024: Trends in Artificial Intelligence
  • Produktbild: PRICAI 2024: Trends in Artificial Intelligence
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    .- WFSFA-Net: Weighted Feature Supplementation and Cross-modal Feature Alignment for Visible-Infrared Person Re-Identification.

    .- JaPOC: Japanese Post-OCR Correction Benchmark using Vouchers.

    .- Viewpoint Modeling with Multi-Task Learning for Vehicle Re-Identification.

    .- Optimal Illumination Distance Metrics for Person Re-identification.

    .- Video-Audio Multimodal Fall Detection Method in Challenging Conditions.

    .- Space-View Decoupled 3D Gaussians for Novel-View Synthesis of Mirror Reflections.

    .- Multi-Scale Traffic Camera Image Detection Network Based on Improved YOLOv8.

    .- Node-level lymph node automatic segmentation in CT images using deep parallel structure-related 3D U-net variant.

    .- Prior Mask-Guided Highly Accurate Dichotomous Image Segmentation.

    .- Text to Image Generation Based on Adaptive Attention.

    .- TEBN: Texture-Enhanced Branching Network for Fine-Grained Tea Classification.

    .- Splitting Objectives: A Method for Improving Training Process of Image Generation Models.

    .- YOLO-SOD: Improved YOLO Small Object detection.

    .- Sparse Context Transformer for Few-Shot Object Detection.

    .- RSANet: Relationship-aware Symmetric Alignment Network for Fine-grained Video-Text Retrieval.

    .- UDUIE: Unpaired Domain-Irrelevant Underwater Image Enhancement.

    .- Zero-shot Referring Image Segmentation with Hierarchical Prompts and Frequency Domain Fusion.

    .- Autonomous Driving.

    .- Enhance Statistical Features with Changepoint Detection for Driver Behaviour Analysis.

    .- MSAN: Multi-Scale Adaptive Network Guided by Human Attention for Accident Prediction.

    .- S2A-Attention for Multimodal 3D Semantic Segmentation Using LiDAR and Cameras in Autonomous Driving.

    .- Agents and Multiagent Systems.

    .- Automated Negotiation Mechanisms for Autonomous Vehicles at Intersections.

    .- Enhancing the Efficiency of Systems with Overlapping Coalition Formation.

    .- Incentive Mechanism Design for ROI-Constrained Auto-Bidding.

    .- Knowledge Graphs.

    .- Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion.

    .- TeMME: Temporal Knowledge Graph Completion using Multi-grade Multivector Embeddings.

    .- Highway Gates Dynamic Adaptation Network For Knowledge Graph Entity Alignment.

    .- Speech Processing.

    .- Low-Resource VITS-Based Emotion Speech Synthesis Using KNN Algorithm.

    .- MSCACodec : A Low-rate Neural Speech Codec With Multi-scale Residual Channel Attention.

    .- Expressive Speech Synthesis Enhancement with Conditional Embeddings.

    .- Integrating Voice Activity Detection to Enhance Robustness of On-Device Speaker Verification.

    .- Spoofing Speech Detection Method Based on Self-Supervised Front End and Feature Enhancement.

    .- Optimization.

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