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ORCID7th PRCV 2024: Urumqi, China - Part I
- Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15031, Springer 2025, ISBN 978-981-97-8486-8
Machine Learning
- Yuqi Sha, Junwei Du, Zhiyong Yang, Feng Jiang:
Cluster Center Initialization for Fuzzy K-Modes Clustering Using Outlier Detection Technique. 3-18 - Yanan Li, Linpu He, Feng Lin, Donghui Wang:
Few-Shot Class-Incremental Learning via Cross-Modal Alignment with Feature Replay. 19-33 - Le Zhang, Yong Gu, Xin Zhao, Yanshuo Zhang, Shu Zhao, Yifei Jin, Xinxin Wu:
Generalizing Soft Actor-Critic Algorithms to Discrete Action Spaces. 34-49 - Haojun Yu, Di Dai, Ziwei Zhao, Di He, Han Hu, Liwei Wang:
LarvSeg: Exploring Image Classification Data for Large Vocabulary Semantic Segmentation via Category-Wise Attentive Classifier. 50-64 - Xiaoyu Xian, Jinghui Qin, Yukai Shi, Daxin Tian, Liang Lin:
Exploring Out-of-Distribution Scene Text Recognition for Driving Scenes with Hybrid Test-Time Adaptation. 65-80 - Haining Hu, Jie Tan, Xiaoguang Ren, Yuchen Hua, Xin Liu:
PhaseNN: An Unsupervised and Spatial-Frequency Integrated Network for Phase Retrieval. 81-94 - Zifan Li, Qingxuan Shi, Shuishui Cheng:
Sequential Transfer of Pose and Texture for Pose Guided Person Image Generation. 95-109 - Zien Liang, Shuping Zhao, Zhuojie Huang, Jigang Wu:
Balanced Clustering with Discretely Weighted Pseudo-label. 110-124 - Chao Xu, Hao Tan, Qingrong Feng, Yue Zhang, Jianjun Wang:
Tensor Robust Principal Component Analysis with Hankel Structure. 125-138 - Jiaye Lin, Lin Li, Baosheng Yu, Weihua Ou, Jianping Gou:
Self-Distillation via Intra-Class Compactness. 139-151 - Xiaona Zheng, Qintai Hu, Chunlin Li, Shuping Zhao:
An Enhanced Dual-Channel-Omni-Scale 1DCNN for Fault Diagnosis. 152-166 - Xinyu Liu, Chenchen Jing, Mingliang Zhai, Yuwei Wu, Yunde Jia:
Visual-Guided Reasoning Path Generation for Visual Question Answering. 167-180 - Xu Ji, Hao-Tian Wu, Ting Cui, Yiqun Zhang, Lingling Xu:
FedGC: Federated Learning on Non-IID Data via Learning from Good Clients. 181-194 - Hongfang Zhu, Jianping Gou, Lan Du, Weihua Ou:
Inter-Class Correlation-Based Online Knowledge Distillation. 195-208 - Qilin Jiang, Chaoran Cui, Chunyun Zhang, Yongrui Zhen, Shuai Gong, Ziyi Liu, Fan'an Meng, Hongyan Zhao:
Accelerating Domain Adaptation with Cascaded Adaptive Vision Transformer. 209-221 - Weiquan Huang, Qiang Chen:
Multistage Compression Optimization Strategies for Accelerating Diffusion Models. 222-235 - Yafu Zhang, Shiji Zhao, Xingxing Wei, Sha Wei:
Defending Adversarial Patches via Joint Region Localizing and Inpainting. 236-250 - Shaojun Shi, Yibing Liu, Canyu Zhang, Xueling Chen:
Multi-view Spectral Clustering Based on Topological Manifold Learning. 251-265 - Linlin Zhang, Congjie Lin, Zhangshuai Bie, Shuo Li, Xuehua Bi, Kai Zhao:
Client Selection Mechanism for Federated Learning Based on Class Imbalance. 266-278 - Jiaqi Jiang, Fangqing Gu, Chikai Shang:
A New Paradigm for Enhancing Ensemble Learning Through Parameter Diversification. 279-293 - Shuangquan Li, Xing-Yao Yang, Hongtao Shen, Jiong Yu, Yanfu Wu:
Adaptive Multi-information Feature Fusion MLP with Filter Enhancement for Sequential Recommendation. 294-308 - Xiangxiang Li, Yang Hua, Xiaoning Song, Wenjie Zhang, Xiao-Jun Wu:
FedDCP: Personalized Federated Learning Based on Dual Classifiers and Prototypes. 309-322 - Yongle Li, Zheng Zhang, Junqi Zhang, Wenbo Hu, Yongyu Wu, Richang Hong:
AtomTool: Empowering Large Language Models with Tool Utilization Skills. 323-337 - Yunchen Wu, Boyao Shi, Jing Huo, Wenbin Li, Yang Gao, Hao Liu, Yunhao Wang, Tinghao Yu:
Making the Primary Task Primary: Boosting Few-Shot Classification by Gradient-Biased Multi-task Learning. 338-352 - Tong Zheng, Yanrong Guo, Richang Hong:
Cascade Large Language Model via In-Context Learning for Depression Detection on Chinese Social Media. 353-366 - Zhuo Tian, Xiaoyi Zhou, Fan Xing, Wentao Hao, Ruiyang Zhao:
TRAE: Reversible Adversarial Example with Traceability. 367-379 - Linzhi Shang, Dawei Zhao, Yiming Nie, Kunlong Zhao, Liang Xiao, Bin Dai:
A Two-Stage Active Domain Adaptation Framework for Vehicle Re-Identification. 380-394 - Tao Zhang, Haoshuo Li, Teng Liu, Anxiao Song, Yulong Shen:
FBR-FL: Fair and Byzantine-Robust Federated Learning via SPD Manifold. 395-409 - Irshad Ullah, Xiaoheng Deng, Xinjun Pei, Husnain Mushtaq:
SecBFL-IoV: A Secure Blockchain-Enabled Federated Learning Framework for Resilience Against Poisoning Attacks in Internet of Vehicles. 410-428
Pattern Classification and Cluster Analysis
- Sunyuan Qiang, Zhu Xiong, Yanyan Liang, Jun Wan, Du Zhang:
Adapt and Refine: A Few-Shot Class-Incremental Learner via Pre-Trained Models. 431-444 - Xuanrong Chen, Jianjun Qian, Shuo Chen, Guangyu Li, Jian Yang, Jun Li:
Learning Fully Parametric Subspace Clustering. 445-460 - Jingyi Chen, Xiaolong Wang, Zhijian He, Xiaojiang Peng:
A Comprehensive Exploration on Detecting Fake Images Generated by Stable Diffusion. 461-475 - Zhongren Yao, Xiaobin Chang:
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning. 476-489 - Shuxian Liu, Guoqiang Wang, Zhida Liu:
SACTGAN-EE Imbalanced Data Processing Method for Credit Default Prediction. 490-504 - Yue Zhang, Xinfa Liao, Qingsheng Chen, Haotian Wu, Yiqun Zhang:
FedHC: Learning Imbalanced Clusters via Federated Hierarchical Clustering. 505-521 - Tao Ding, Wenjun Zhou, Bo Peng:
Enhancing Time Series Classification with Explainable Time-Frequency Features Representation. 522-536 - Lin Shi, Wangjie Chen, Yi Liu, Lihua Zhuang, Guangqi Jiang:
Adaptive Unified Framework with Global Anchor Graph for Large-Scale Multi-view Clustering. 537-550 - Zhangci Xiong, Meng Cao:
SLRL: Structured Latent Representation Learning for Multi-view Clustering. 551-566
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