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EMBEDDING: 作品数：637被引量：933H指数：11; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：禹龙田生伟赵建国孟欣裴楠更多>>; 相关机构：新疆大学华东师范大学微梦创科网络科技(中国)有限公司吉林大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划广东省自然科学基金更多>>

Embedding prescribed-time adaptive control protocol unveiling distributed consensus in multirobot systems via directed topology: 《Science China(Information Sciences)》2025年第2期379-380,共2页Yonghao XIE Xinru MA Hengyu LI Shaorong XIE; supported in part by Major Program of the National Natural Science Foundation of China(Grant No.61991415);General Program of the National Natural Science Foundation of China(Grant No.62073209)。; Recently,multirobot systems(MRSs)have found extensive applications across various domains,including industrial manufacturing,collaborative formation of unmanned equipment,emergency disaster relief,and war scenarios[1]...; 关键词：theory PRESCRIBED TOPOLOGY

Siamese transformer with hierarchical concept embedding for fine-grained image recognition被引量：1: 《Science China(Information Sciences)》2023年第3期184-199,共16页Yilin LYU Liping JING Jiaqi WANG Mingzhe GUO Xinyue WANG Jian YU; supported by National Key Research and Development Program of China (Grant No. 2020AAA0106800);Beijing Natural Science Foundation (Grant Nos. Z180006, L211016);National Natural Science Foundation of China (Grant No. 62176020);CAAI-Huawei Mind Spore Open Fund;Chinese Academy of Sciences (Grant No. OEIP-O-202004); Distinguishing the subtle differences among fine-grained images from subordinate concepts of a concept hierarchy is a challenging task.In this paper,we propose a Siamese transformer with hierarchical concept embedding...; 关键词：fine-grained image recognition TRANSFORMER hierarchical concept embedding adaptive sampling Siamese network

Reinforcement learning of non-additive joint steganographic embedding costs with attention mechanism被引量：2: 《Science China(Information Sciences)》2023年第3期269-282,共14页Weixuan TANG Bin LI Weixiang LI Yuangen WANG Jiwu HUANG; supported by National Natural Science Foundation of China(Grant Nos.62002075,61872244,61872099,U19B2022);Guangdong Basic and Applied Basic Research Foundation(Grant No.2019B151502001);Shenzhen R&D Program(Grant No.JCYJ20200109105008228).; Image steganography is the art and science of secure communication by concealing information within digital images.In recent years,the techniques of steganographic cost learning have developed rapidly.Although the exi...; 关键词：information hiding non-additive steganography STEGANALYSIS cost learning image processing

Representation learning on textual network with personalized Page Rank: 《Science China(Information Sciences)》2021年第11期91-100,共10页Teng LI Yong DOU; supported by National Science and Technology Major Projects on Core Electronic Devices,High-End Generic Chips and Basic Software(Grant No.2018ZX01028101);National Natural Science Foundation of China(Grant No.61732018)。; Representation learning on textual network or textual network embedding, which leverages rich textual information associated with the network structure to learn low-dimensional embedding of vertices, has been useful i...; 关键词：representation learning network embedding Page Rank textual network personalized Page Rank

Sampling informative context nodes for network embedding: 《Science China(Information Sciences)》2021年第11期116-126,共11页Danhao ZHU Xin-Yu DAI Jiajun CHEN Jie YIN; supported in part by Social Science Foundation of the Jiangsu Higher Education Institutions of China(Grant No.2018SJA0455);National Nature Science Foundation of China(Grant No.61472183);Social Science Foundation of Jiangsu Province(Grant No.19TQD002)。; Several modern network embedding methods learn vector representations from sampled context nodes. The sampling strategies are often carefully designed and controlled by specific parameters that enable them to adapt to...; 关键词：network embedding representation learning random walk ENTROPY weighted entropy

Fault diagnosis of industrial process based on the optimal parametric t-distributed stochastic neighbor embedding被引量：4: 《Science China(Information Sciences)》2021年第5期229-231,共3页Ruixue JIA Jing WANG Jinglin ZHOU; supported by National Natural Science Foundation of China(Grant Nos.61573050,61473025);Fundamental Research Funds for the Central Universities of China(Grant No.XK1802-4);Open-Project Grant Funded by the State Key Laboratory of Synthetical Automation for Process Industry at the Northeastern University(Grant No.PAL-N201702)。; Dear editor,Fault diagnosis of industrial production processes are crucial for early detection of abnormal conditions and help operators to prevent accidents in a timely manner.Therefore,reasonably establishing a faul...; 关键词：STOCHASTIC EMBEDDING OPERATORS

Dynamic network embedding via incremental skip-gram with negative sampling被引量：4: 《Science China(Information Sciences)》2020年第10期85-103,共19页Hao PENG Jianxin LI Hao YAN Qiran GONG Senzhang WANG Lin LIU Lihong WANG Xiang REN; supported by National Key R&D Program of China(Grant No.2016YFB1000103);National Natural Science Foundation of China(Grant Nos.61872022,61772151,61421003,SKLSDE-2018ZX-16)。; Network representation learning,as an approach to learn low dimensional representations of vertices,has attracted considerable research attention recently.It has been proven extremely useful in many machine learning t...; 关键词：dynamic network embedding bound and convergence analysis multi-label classification link prediction

Kernel semi-supervised graph embedding model for multimodal and mixmodal data被引量：3: 《Science China(Information Sciences)》2020年第1期243-245,共3页Qi ZHANG Rui LI Tianguang CHU; supported by National Natural Science Foundation of China (Grant Nos. 61673027, 61503375);Fundamental Research Funds for the Central Universities (Grant Nos. CXTD10-05, 18QD18 in UIBE, DUT19LK18); Dear editor,Semi-supervised learning has obtained increasing interests in machine learning,because making use of both labeled and unlabeled training samples helps extracting discriminative features and meanwhile reduc...; 关键词：MODAL EMBEDDING EXTRACTING

Large margin deep embedding for aesthetic image classification被引量：4: 《Science China(Information Sciences)》2020年第1期225-227,共3页Guanjun GUO Hanzi WANG Yan YAN Liming ZHANG Bo LI; supported by National Natural Science Foundation of China (Grant Nos. U1605252, 61872307, 61472334, 61571379);National Key R&D Program of China (Grant No. 2017YFB1302400);UM Multi-Year Research (Grant No. MYRG201700218-FST); Dear editor,The problem of aesthetic image classification has attracted much attention during the past few years.The recently proposed methods[1–4]based on the deep convolutional neural network(CNN)[5,6]have achieved...; 关键词：EDITOR IMAGE NEURAL

Anchor-based manifold binary pattern for finger vein recognition被引量：2: 《Science China(Information Sciences)》2019年第5期129-144,共16页Haiying LIU Gongping YANG Lu YANG Kun SU Yilong YIN; supported by National Natural Science Foundation of China (Grant Nos. 61472226, 61573219, 61703235);Key Research and Development Project of Shandong Province (Grant No. 2018GGX101032); This paper proposes a novel learning method of binary local features for recognition of the finger vein. The learning methods existing in local features for image recognition intend to maximize the data variance, redu...; 关键词：FINGER VEIN recognition feature LEARNING local linear EMBEDDING fusion MANIFOLD LEARNING ANCHOR

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