PRICAI 2022: Trends in Artificial Intelligence: 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part III: Lecture Notes in Computer Science, cartea 13631
Editat de Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xuen Limba Engleză Paperback – 4 noi 2022
The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.
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Specificații
ISBN-13: 9783031208676
ISBN-10: 3031208676
Pagini: 650
Ilustrații: XXI, 650 p. 224 illus., 216 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.93 kg
Ediția:1st ed. 2022
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031208676
Pagini: 650
Ilustrații: XXI, 650 p. 224 illus., 216 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.93 kg
Ediția:1st ed. 2022
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Recommender System.- Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.- MF-TagRec: Multi-feature fused tag recommendation for GitHub.- Co-contrastive Learning for Multi-behavior Recommendation.- Pattern Matching and Information-aware between Reviews and Ratings for Recommendation.- Cross-view Contrastive Learning for Knowledge-aware Session-based Recommendation.- Reinforcement Learning.- HiSA: Facilitating Efficient Multi-Agent Coordination and Cooperation by Hierarchical Policy with Shared Attention.- DDMA: Discrepancy-Driven Multi-Agent Reinforcement Learning.- PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control.- Identifying Multiple Influential Nodes for Complex Networks based on Multi-Agent Deep Reinforcement Learning.- Online Learning in Iterated Prisoner’s Dilemma to Mimic Human Behavior.- Optimizing Exploration-Exploitation Trade-off in Continuous Action Spaces via Q-ensemble.- Hidden Information General Game Playing With Deep Learning and Search.- Sequential Decision Making with “Sequential Information” in Deep Reinforcement Learning.- Two-Stream Communication-Efficient Federated Pruning Network.- Strong General AI.- Multi-scale Lightweight Neural Network for Real-time Object Detection.- Hyperspectral Image Classification Based On Transformer and Generative Adversarial Network.- Deliberation Selector for Knowledge-grounded Conversation Generation.- Training a Lightweight ViT Network for Image Retrieval.- Vision and Perception.- Segmented–original Image Pairs to Facilitate Feature Extraction in Deep Learning Models.- FusionSeg: Motion Segmentation by Jointly Exploiting Frames and Events.- Weakly-supervised Temporal Action Localization with Multi-head Cross-modal Attention.- CrGAN: Continuous Rendering of Image Style.- DPCN: Dual Path Convolutional Network for Single Image Deraining.- All Up to You: Controllable Video Captioning With a Masked Scene Graph.- A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image Denoising.- Learning Spatial Fusion and Matching for Visual Object Tracking.- Lightweight Wavelet-based Transformer for Image Super-resolution.- Efficient high-resolution human pose estimation.- The Geometry Enhanced Deep Implicit Function based 3D Reconstruction for objects in a real-scene image.- Multi-View Stereo Network with Attention Thin Volume.- 3D Point Cloud Segmentation Leveraging Global 2D-view Features.- Self-Supervised Indoor 360-Degree Depth Estimation via Structural Regularization.- Global Boundary Refinement for Semantic Segmentation via Optimal Transport.- Optimization-based Predictive Approach for On-Demand Transportation.- JointContrast: Skeleton-based Mutual Action Recognition with Contrastive Learning.- Nested Multi-Axis Learning Network for Single Image Super Resolution.- Efficient Scale Divide and Conquer Network for Object Detection.- Video-Based Emotion Recognition in the Wild for Online Education Systems.- Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network.- Self-Supervised Vision Transformer based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation.- Lightweight image dehazing neural network model based on estimating medium transmission map by intensity.- CMNet: Cross-aggregation Multi-branch Network for Salient Object Detection.- More than Accuracy: an Empirical Study of Consistency between Performance and Interpretability.- Object-scale Adaptive Optical Flow Estimation Network.- A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning.- Rotating Target Detection Based On Lightweight Network.- Corner Detection Based on a Dynamic Measure of Cornerity.