云南高校图书馆联盟文献共享服务平台- GENERALIZATION

GENERALIZATION: 作品数：377被引量：317H指数：8; 导出分析报告; 相关领域：理学更多>>; 相关作者：孙经先郝稚传李陶深韦艳艳乐友喜更多>>; 相关机构：南京师范大学广西大学东南大学山东大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家教育部博士点基金广东省自然科学基金更多>>

TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification: 《Machine Intelligence Research》2025年第2期337-351,共15页Yichao Yan Junjie Li Shengcai Liao Jie Qin; Domain generalizable person re-identification(reid)is a challenging task in computer vision,which aims to apply a trained reid model to unseen domains.Prior works either combine the data in all the training domains to...; 关键词：Person re-identification domain generalization image retrieval representation learning computer vision.

GENERALIZATION ANALYSIS FOR CVaR-BASED MINIMAX REGRET OPTIMIZATION: 《数学杂志》2025年第2期111-121,共11页TAO Yan-fang DENG Hao; Supported by Education Science Planning Project of Hubei Province(2020GB198);Natural Science Foundation of Hubei Province(2023AFB523).; This paper analyzes the generalization of minimax regret optimization(MRO)under distribution shift.A new learning framework is proposed by injecting the measure of con-ditional value at risk(CVaR)into MRO,and its gene...; 关键词：Minimax regret optimization(MRO) conditional value at risk(CVaR) distri-bution shift generalization error

Significance extraction based on data augmentation for reinforcement learning: 《Frontiers of Information Technology & Electronic Engineering》2025年第3期385-399,共15页Yuxi HAN Dequan LI Yang YANG; Project supported by the Academic and Technical Leaders and Backup Candidates Program of Anhui Province,China(No.2019h211);the Natural Science Foundation of Anhui Province,China(No.2208085ME128)。; Deep reinforcement learning has shown remarkable capabilities in visual tasks,but it does not have a good generalization ability in the context of interference signals in the input images;this approach is therefore ha...; 关键词：Deep reinforcement learning Visual tasks GENERALIZATION Data augmentation SIGNIFICANCE DeepMind Control generalization benchmark

Semi-supervised cardiac magnetic resonance image segmentation based on domain generalization: 《High Technology Letters》2025年第1期41-52,共12页SHAO Hong HOU Jinyang CUI Wencheng; Supported by the National Natural Science Foundation of China(No.62001313);the Key Project of Liaoning Provincial Department of Science and Technology(No.2021JH2/10300134,2022JH1/10500004)。; In the realm of medical image segmentation,particularly in cardiac magnetic resonance imaging(MRI),achieving robust performance with limited annotated data is a significant challenge.Performance often degrades when fa...; 关键词：SEMI-SUPERVISED domain generalization(DG) cardiac magnetic resonance image segmentation

Privacy-Preserving Fingerprint Recognition via Federated Adaptive Domain Generalization: 《Computers, Materials & Continua》2025年第3期5035-5055,共21页Yonghang Yan Xin Xie Hengyi Ren Ying Cao Hongwei Chang; supported by the National Natural Science Foundation of China(Nos.62002100,61902237);Key Research and Promotion Projects of Henan Province(Nos.232102240023,232102210063,222102210040).; Fingerprint features,as unique and stable biometric identifiers,are crucial for identity verification.However,traditional centralized methods of processing these sensitive data linked to personal identity pose signifi...; 关键词：Fingerprint recognition privacy protection federated learning adaptive weight adjustment

Adaptive network combination for single-image reflection removal:a domain generalization perspective: 《Frontiers of Computer Science》2025年第1期171-173,共3页Ming LIU Jianan PAN Zifei YAN Wangmeng ZUO Lei ZHANG; supported in part by the National Natural Science Foundation of China(Grant No.U19A2073).; 1 Introduction Recently,multiple synthetic and real-world datasets have been built to facilitate the training of deep single-image reflection removal(SIRR)models.Meanwhile,diverse testing sets are also provided with d...; 关键词：testing GENERALIZATION WHILE

Cutting Force and State Identification in High-Speed Milling:a Semi-Analytical Multi-Dimensional Approach: 《Chinese Journal of Mechanical Engineering》2025年第1期140-160,共21页Yu Zhang Xianyin Duan Kunpeng Zhu; Supported by National Natural Science Foundation of China(Grant No.52175528).; High-speed milling(HSM)is advantageous for machining high-quality complex-structure surface components with various materials.Identifying and estimating cutting force signals for characterizing HSM is of high signific...; 关键词：Cutting force Tool runout Bisection method Discrete Fourier transform Generalization Table 1 The recursive algorithm of the least-squares solution of the coefficient matrix Kx

Domain generalization with semi-supervised learning for people-centric activity recognition: 《Science China(Information Sciences)》2025年第1期168-185,共18页Jing LIU Wei ZHU Di LI Xing HU Liang SONG; supported in part by China Mobile Research Fund of the Chinese Ministry of Education(Grant No.KEH2310029);Specific Research Fund of the Innovation Platform for Academicians of Hainan Province(Grant No.YSPTZX202314);supported by the Shanghai Key Research Laboratory of NSAI and the Joint Laboratory on Networked AI Edge Computing Fudan University-Changan.; People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems,healthcare services,and brain-computer interfaces.La...; 关键词：activity recognition deep learning domain generalization semi-supervised learning adversarial training

Generalizable data driven full waveform inversion for complex structures and severe topographies: 《Petroleum Science》2024年第6期4025-4033,共9页Mahdi Saadat Hosein Hashemi Majid Nabi-Bidhendi; Traditionally, simplification has been used in scientific modeling practices. However, recent advancements in deep learning techniques have provided a means to represent complex models. As a result, deep neural networ...; 关键词：Deep learning GENERALIZATION Full waveform inversion Data-driven inversion Complex structure

Universal Scaling Laws in Quantum-Probabilistic Machine Learning by Tensor Network: Toward Interpreting Representation and Generalization Powers: 《Chinese Physics Letters》2024年第12期35-45,共11页Sheng-Chen Bai Shi-Ju Ran; supported in part by the Beijing Natural Science Foundation (Grant No. 1232025);the Ministry of Education Key Laboratory of Quantum Physics and Photonic Quantum Information (Grant No. ZYGX2024K020);Academy for Multidisciplinary Studies, Capital Normal University.; The interpretation of representations and generalization powers has been a long-standing challenge in the fields of machine learning(ML)and artificial intelligence.This study contributes to understanding the emergence...; 关键词：QUANTUM GENERALIZATION SCALING

GENERALIZATION