Neural Information Processing
Springer Verlag, Singapore
978-981-99-8180-9 (ISBN)
The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions.
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.
Applications.- Road Surface Segmentation and Detection Under Extreme Weather Conditions Based on Mask-RCNN.- I-RAFT: Optical Flow Estimation Model Based on Multi-scale Initialization Strategy.- Educational Pattern Guided Self-Knowledge Distillation for Siamese Visual Tracking.- LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0.- Depth Normalized Stable View Synthesis.- Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study.- Image Inpainting with Semantic U-Transformer.- Multi-scale Context Aggregation for Video-based Person Re-identification.- Enhancing LSTM and fusing articles of law for legal text summarization.- Text Spotting of Electrical Diagram Based on Improved PP-OCRv3.- Topic-aware Two-layer Context-enhanced Model for Chinese Discourse Parsing.- A Malicious Code Family Classification Method Based on RGB Images and Lightweight Model.- Research on Relation Extraction Based on BERT with Multifaceted Semantics.- NMPose: Leveraging Normal Maps for 6D Pose Estimation.- BFTracker: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-Object Tracking.- Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search.- DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation.- Reversible Data Hiding in Encrypted Images based on Image Reprocessing and Polymorphic Compression.- All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures.- TRFN: Triple-Receptive-Field Network for Regional-Texture and Holistic-Structure Image Inpainting.- PMFNet: A Progressive Multichannel Fusion Network for Multimodal Sentiment Analysis.- Category-wise Meal Recommendation.- A Data-freeSubstitute Model Training Method for Textual Adversarial Attacks.- Detect Overlapping Community via Graph Neural Network and Topological Potential.- DeFusion: Aerial Image Matching Based on Fusion of Handcrafted and Deep Features.- Unsupervised Fabric Defect Detection Framework based on Knowledge Distillation.- Data Protection and Privacy: Risks and Solutions in The Contentious Era of AI-driven Ad Tech.- Topic Modeling for Short Texts via Adaptive Pólya Urn Dirichlet Multinomial Mixture.- Informative Prompt Learning for Low-shot Commonsense Question Answering via Fine-Grained Redundancy Reduction.- Rethinking unsupervised domain adaptation for nighttime tracking.- A Bi-Directional Optimization Network for De-Obscured 3D High-Fidelity Surface Reconstruction.- Jointly extractive and abstractive training paradigm for text summarization.- A Three-Stage Framework For Event-Event Relation Extraction with Large Language Model.- MEFaceNets: Muti-scale Efficient CNNs for Real-time Face Recognition on Embedded Devices.- Optimal Low-rank QR Decomposition with an Application on RP-TSOD.- EDDVPL: A Web Attribute Extraction Method with Prompt Learning.- CACL:Commonsense-Aware Contrastive Learning for Knowledge Graph Completion.- Graph Attention Hashing via Contrastive Learning for Unsupervised Cross-modal Retrieval.- A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing.- Botnet Detection Method based on NSA and DRN.- ASRCD: Adaptive Serial Relation-based Model for Cognitive Diagnosis.- PyraBiNet: A Hybrid Semantic Segmentation Network Combining PVT and BiSeNet for deformable objects in indoor environments.- Classification of Hard and Soft Wheat Species using Hyperspectral Imaging and Machine Learning Models.- Mitigation of Voltage Violation for Battery Charging Based on Data-Driven Optimization.
| Erscheinungsdatum | 28.11.2023 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | 174 Illustrations, color; 18 Illustrations, black and white; XXI, 593 p. 192 illus., 174 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | affective and cognitive learning • Big Data • Bioinformatics • brain-machine interface • Computational Finance • Computational Intelligence • control and decision theory • Data Mining • Human-Computer interaction • Image processing & computer vision • machine learning • Natural Language Processing • neural data analysis • neural network • Neurodynamics • Optimization • pattern recognition • Recommender Systems • Robotics and control • Social Networks |
| ISBN-10 | 981-99-8180-8 / 9819981808 |
| ISBN-13 | 978-981-99-8180-9 / 9789819981809 |
| Zustand | Neuware |
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