國立虎尾科技大學 |

Pattern recognition and computer vision = 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024 : proceedings.. Part I /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Pattern recognition and computer vision/ edited by Zhouchen Lin ... [et al.].
其他題名:	7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024 : proceedings.
其他題名:	PRCV 2024
其他作者:	Lin, Zhouchen.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xiv, 569 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-981-97-8487-5
ISBN:	9789819784875

Pattern recognition and computer vision = 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024 : proceedings.. Part I /
Pattern recognition and computer vision7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024 : proceedings.Part I /[electronic resource] :PRCV 2024edited by Zhouchen Lin ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiv, 569 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,150311611-3349 ;. - Lecture notes in computer science ;6140..

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.

This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.

ISBN: 9789819784875

Standard No.: 10.1007/978-981-97-8487-5doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Pattern recognition and computer vision = 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024 : proceedings.. Part I /
LDR:05063nam a2200349 a 4500 001 1160033
003 DE-He213
005 20241103115736.0
006 m d
007 cr nn 008maaau
008 251029s2025 si s 0 eng d
020 $a 9789819784875 $q (electronic bk.)
020 $a 9789819784868 $q (paper)
024 7 $a 10.1007/978-981-97-8487-5 $2 doi
035 $a 978-981-97-8487-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.P3
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYT $2 thema
082 0 4 $a 006.4 $2 23
090 $a TK7882.P3 $b P921 2024
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Pattern recognition and computer vision $h [electronic resource] : $b 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024 : proceedings. $n Part I / $c edited by Zhouchen Lin ... [et al.].
246 3 $a PRCV 2024
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xiv, 569 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15031
505 0 $a 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.
520 $a This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18-20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Computer System Implementation. $3 669803
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Computer and Information Systems Applications. $3 1365732
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
650 0 $a Pattern recognition systems $v Congresses. $3 568203 $3 727337
650 0 $a Computer vision $v Congresses. $3 643975 $3 727782
700 1 $a Lin, Zhouchen. $e editor. $3 1303451
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
856 4 0 $u https://doi.org/10.1007/978-981-97-8487-5
950 $a Computer Science (SpringerNature-11645)