國立虎尾科技大學 |

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 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	PRICAI 2022: Trends in Artificial Intelligence/ edited by Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu.
其他題名:	19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part III /
其他作者:	Khanna, Sankalp.
面頁冊數:	XXI, 650 p. 224 illus., 216 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-20868-3
ISBN:	9783031208683

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 /
PRICAI 2022: Trends in Artificial Intelligence19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part III /[electronic resource] :edited by Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu. - 1st ed. 2022. - XXI, 650 p. 224 illus., 216 illus. in color.online resource. - Lecture Notes in Computer Science,136311611-3349 ;. - Lecture Notes in Computer Science,9324.

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 -- Joint Contrast: 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.

This three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 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.

ISBN: 9783031208683

Standard No.: 10.1007/978-3-031-20868-3doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

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 /
LDR:06045nam a22004215i 4500 001 1085165
003 DE-He213
005 20221103212810.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031208683 $9 978-3-031-20868-3
024 7 $a 10.1007/978-3-031-20868-3 $2 doi
035 $a 978-3-031-20868-3
050 4 $a Q334-342
050 4 $a TA347.A78
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a PRICAI 2022: Trends in Artificial Intelligence $h [electronic resource] : $b 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10–13, 2022, Proceedings, Part III / $c edited by Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2022.
300 $a XXI, 650 p. 224 illus., 216 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Computer Science, $x 1611-3349 ; $v 13631
505 0 $a 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 -- Joint Contrast: 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.
520 $a This three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10–13, 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.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computers. $3 565115
650 0 $a Computer engineering. $3 569006
650 0 $a Computer networks . $3 1365720
650 0 $a Application software. $3 528147
650 0 $a Image processing—Digital techniques. $3 1365735
650 0 $a Computer vision. $3 561800
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computing Milieux. $3 669921
650 2 4 $a Computer Engineering and Networks. $3 1365733
650 2 4 $a Computer and Information Systems Applications. $3 1365732
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
700 1 $a Khanna, Sankalp. $e editor. $1 https://orcid.org/0000-0001-6125-8871 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1391560
700 1 $a Cao, Jian. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 881977
700 1 $a Bai, Quan. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1065870
700 1 $a Xu, Guandong. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 782251
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031208676
776 0 8 $i Printed edition: $z 9783031208690
830 0 $a Lecture Notes in Computer Science, $x 0302-9743 ; $v 9324 $3 1258960
856 4 0 $u https://doi.org/10.1007/978-3-031-20868-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)