咨询与建议

限定检索结果

文献类型

  • 1,483 篇 会议
  • 653 篇 期刊文献
  • 9 册 图书

馆藏范围

  • 2,145 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,408 篇 工学
    • 817 篇 计算机科学与技术...
    • 702 篇 软件工程
    • 296 篇 信息与通信工程
    • 208 篇 机械工程
    • 205 篇 控制科学与工程
    • 201 篇 光学工程
    • 157 篇 生物工程
    • 152 篇 生物医学工程(可授...
    • 129 篇 电子科学与技术(可...
    • 105 篇 电气工程
    • 92 篇 仪器科学与技术
    • 62 篇 化学工程与技术
    • 41 篇 交通运输工程
    • 33 篇 土木工程
    • 29 篇 建筑学
    • 27 篇 航空宇航科学与技...
    • 24 篇 安全科学与工程
  • 769 篇 理学
    • 463 篇 数学
    • 252 篇 物理学
    • 173 篇 生物学
    • 143 篇 统计学(可授理学、...
    • 61 篇 化学
    • 56 篇 系统科学
  • 258 篇 管理学
    • 146 篇 管理科学与工程(可...
    • 123 篇 图书情报与档案管...
  • 90 篇 医学
    • 78 篇 临床医学
    • 59 篇 基础医学(可授医学...
    • 48 篇 药学(可授医学、理...
  • 28 篇 法学
    • 23 篇 社会学
  • 27 篇 艺术学
    • 26 篇 设计学(可授艺术学...
  • 19 篇 农学
  • 10 篇 经济学
  • 10 篇 军事学
  • 9 篇 教育学
  • 5 篇 文学
  • 1 篇 哲学
  • 1 篇 历史学

主题

  • 215 篇 pattern recognit...
  • 199 篇 image processing
  • 137 篇 image segmentati...
  • 135 篇 feature extracti...
  • 80 篇 computer vision
  • 76 篇 shape
  • 68 篇 image reconstruc...
  • 67 篇 support vector m...
  • 66 篇 robustness
  • 65 篇 face recognition
  • 59 篇 cameras
  • 53 篇 image analysis
  • 53 篇 principal compon...
  • 52 篇 image edge detec...
  • 52 篇 image recognitio...
  • 52 篇 training
  • 48 篇 humans
  • 46 篇 object detection
  • 39 篇 data mining
  • 38 篇 pixel

机构

  • 262 篇 institute of ima...
  • 241 篇 institute of ima...
  • 74 篇 image processing...
  • 44 篇 institute of ima...
  • 35 篇 institute of ima...
  • 30 篇 inst. of image p...
  • 26 篇 institute of med...
  • 25 篇 institute of ima...
  • 22 篇 school of inform...
  • 21 篇 institute of ima...
  • 21 篇 pattern recognit...
  • 18 篇 intelligent reco...
  • 18 篇 institute for pa...
  • 18 篇 state key labora...
  • 17 篇 key laboratory o...
  • 17 篇 laboratory of in...
  • 17 篇 school of softwa...
  • 17 篇 institute of ima...
  • 17 篇 institute of ima...
  • 15 篇 pattern recognit...

作者

  • 197 篇 yang jie
  • 137 篇 jie yang
  • 68 篇 ping guo
  • 58 篇 yuncai liu
  • 52 篇 huang xiaolin
  • 48 篇 pengfei shi
  • 34 篇 yunhong wang
  • 33 篇 zhang tianxu
  • 32 篇 kropatsch walter...
  • 31 篇 guo ping
  • 25 篇 qian yin
  • 25 篇 wang yunhong
  • 24 篇 zhou yue
  • 21 篇 liu yuncai
  • 21 篇 shi pengfei
  • 20 篇 wang lisheng
  • 20 篇 hong-bin shen
  • 20 篇 杨杰
  • 19 篇 h. bischof
  • 19 篇 xin yang

语言

  • 2,031 篇 英文
  • 81 篇 中文
  • 36 篇 其他
检索条件"机构=Pattern Recognition and Image Processing Processing Laboratory"
2145 条 记 录,以下是11-20 订阅
排序:
C2DFL: cross-view cross-layer discriminative feature learning for fine-grained 3D shape classification
收藏 引用
Neural Computing and Applications 2025年
作者: Jiang, Jinzhe Bai, Jing Ma, Xiangyu The School of Computer Science and Engineering North Minzu University Yinchuan750021 China The Key Laboratory of Images Processing and Pattern Recognition Laboratory North Minzu University Yinchuan750021 China
Fine-grained 3D shape classification poses challenges in effectively capturing and integrating discriminative features residing in subtle local regions. Previous methods typically extract features independently from i... 详细信息
来源: 评论
Application of Classification Framework Based on CDR and CNN in Ophthalmic Prediagnosis  1st
Application of Classification Framework Based on CDR and CNN...
收藏 引用
1st International Conference on pattern Analysis and Machine Intelligence, ICPAMI 2024
作者: Xu, Yunjiao Yang, Jie Guo, Tianjiao Scientific Research Office Shanghai Normal University Tianhua College Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
The seven-field classification plays a key role in ophthalmology, especially in the diagnosis and treatment of diabetic retinopathy. In this paper, we designed a framework that can classify 7 fields of each eye simult... 详细信息
来源: 评论
Family Doctor Model Training Based on Large Language Model Tuning  1st
Family Doctor Model Training Based on Large Language Model T...
收藏 引用
1st International Conference on pattern Analysis and Machine Intelligence, ICPAMI 2024
作者: Zhu, Yu Li, Wangtao Ling, Xufeng Yang, Jie Shanghai China School of AI Shanghai Normal University Tianhua College Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
As society increasingly focuses on health issues, the importance of the role of family doctors becomes more apparent. The question of how to use cutting-edge technology to improve the accessibility and efficiency of m... 详细信息
来源: 评论
Reflecting topology consistency and abnormality via learnable attentions for airway labeling
收藏 引用
International Journal of Computer Assisted Radiology and Surgery 2025年 1-9页
作者: Li, Chenyu Zhang, Minghui Zhang, Chuyan Gu, Yun Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Flexible Medical Robotics Tongren Hospital Shanghai Jiao Tong University Shanghai China
Purpose: Accurate airway anatomical labeling is crucial for clinicians to identify and navigate complex bronchial structures during bronchoscopy. Automatic airway labeling is challenging due to significant anatomical ... 详细信息
来源: 评论
DLS-HCAN: Duplex Label Smoothing Based Hierarchical Context-Aware Network for Fine-grained 3D Shape Classification
收藏 引用
IEEE Transactions on Multimedia 2025年
作者: Bai, Shaojin Zheng, Liang Bai, Jing Ma, Xiangyu North Minzu University School of Computer Science and Engineering Yinchuan750021 China Liupanshan Laboratory Yinchuan750021 China North Minzu University Key Laboratory of Images Processing and Pattern Recognition LaboratoryCommission: IPPRLab Yinchuan750021 China
Fine-grained 3D shape classification (FGSC) has garnered significant attention recently and has made notable advancements. However, due to high inter-class similarity and intra-class diversity, it is still a challenge... 详细信息
来源: 评论
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
arXiv
收藏 引用
arXiv 2025年
作者: Guan, Xinyan Zeng, Jiali Meng, Fandong Xin, Chunlei Lu, Yaojie Lin, Hongyu Han, Xianpei Sun, Le Zhou, Jie Chinese Information Processing Laboratory Institute of Software Chinese Academy of Sciences China University of Chinese Academy of Sciences China Pattern Recognition Center WeChat AI Tencent Inc China
Large Language Models (LLMs) have shown remarkable potential in reasoning while they still suffer from severe factual hallucinations due to timeliness, accuracy, and coverage of parametric knowledge. Meanwhile, integr...
来源: 评论
TNIE-SLAM: Neural Implicit Surface Reconstruction for Tracking-Oriented SLAM
收藏 引用
Journal of Intelligent & Robotic Systems 2025年 第2期111卷 1-22页
作者: Gan, Baolin Zhang, Congxuan Chen, Shuaixin Chen, Zhen He, Chao Lu, Ke Lu, Feng School of Instrument Science and Optoelectronic Engineering Nanchang Hangkong University Nanchang China Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang China School of Information Engineering Nanchang Hangkong University Nanchang China The College of Engineering Science University of Chinese Academy of Sciences Beijing China
Recent studies on simultaneous localization and mapping (SLAM) have tended to employ implicit neural representation, which can improve the efficiency and robustness of SLAM system. However, these methodologies still f...
来源: 评论
CATransUnetLBP: Accurate Prediction of Protein-Ligand Binding Pockets Using a Hybrid Network
IEEE Transactions on Computational Biology and Bioinformatic...
收藏 引用
IEEE Transactions on Computational Biology and Bioinformatics 2025年 第1期22卷 355-367页
作者: Cheng Cai Zhaohong Deng Andong Li Yun Zuo Haoran Chen Zhisheng Wei Lei Wang Xiaoyong Pan Hong-Bin Shen Dong-Jun Yu School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China Shanghai Key Lab of Intell. Info. Processing School of CS Fudan University Shanghai China School of Biotechnology Jiangnan University Wuxi China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China
The development of intelligent methods capable of predicting protein-ligand binding sites has become a popular research field. Recently, deep learning based methods have been proposed as a promising solution for this ... 详细信息
来源: 评论
Contour detection network simulating the primary visual pathway
收藏 引用
Digital Signal processing 2025年 165卷
作者: Ke Chen Yingle Fan Tao Fang Laboratory of Pattern Recognition and Image Processing Hangzhou Dianzi University Hangzhou 310018 Zhejiang China
Biological vision exhibits exceptional contour perception capabilities. In view of this, research on contour detection guided by biological vision is gradually gaining attention. Inspired by the transmission and proce...
来源: 评论
A Research Mode Based Evolutionary Algorithm for Many-Objective Optimization
收藏 引用
Chinese Journal of Electronics 2019年 第4期28卷 764-772页
作者: CHEN Guoyu LI Junhua Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University
The development of algorithms to solve Many-objective optimization problems(MaOPs) has attracted significant research interest in recent *** various types of Pareto front(PF) is a daunting challenge for evolutionary a... 详细信息
来源: 评论