咨询与建议

限定检索结果

文献类型

  • 30 篇 期刊文献
  • 28 篇 会议
  • 1 册 图书

馆藏范围

  • 59 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 31 篇 工学
    • 24 篇 计算机科学与技术...
    • 21 篇 软件工程
    • 8 篇 信息与通信工程
    • 6 篇 机械工程
    • 6 篇 生物工程
    • 5 篇 控制科学与工程
    • 4 篇 光学工程
    • 2 篇 仪器科学与技术
    • 2 篇 电气工程
    • 2 篇 电子科学与技术(可...
    • 1 篇 材料科学与工程(可...
    • 1 篇 化学工程与技术
    • 1 篇 生物医学工程(可授...
  • 20 篇 理学
    • 13 篇 数学
    • 6 篇 生物学
    • 6 篇 统计学(可授理学、...
    • 3 篇 物理学
    • 1 篇 化学
    • 1 篇 系统科学
  • 8 篇 管理学
    • 4 篇 管理科学与工程(可...
    • 4 篇 图书情报与档案管...
    • 1 篇 工商管理
  • 1 篇 医学

主题

  • 7 篇 training
  • 4 篇 pattern recognit...
  • 4 篇 algorithm design...
  • 4 篇 feature extracti...
  • 3 篇 alzheimer's dise...
  • 3 篇 signal processin...
  • 3 篇 face recognition
  • 3 篇 semantics
  • 3 篇 face
  • 3 篇 image processing
  • 3 篇 clustering algor...
  • 3 篇 testing
  • 3 篇 data models
  • 2 篇 biomarkers
  • 2 篇 deep learning
  • 2 篇 training data
  • 2 篇 filtering
  • 2 篇 voting
  • 2 篇 vector spaces
  • 2 篇 neural networks

机构

  • 10 篇 centre for visio...
  • 7 篇 jiangsu provinci...
  • 5 篇 school of artifi...
  • 3 篇 jiangsu provinci...
  • 3 篇 department of ne...
  • 2 篇 the center for v...
  • 2 篇 pattern recognit...
  • 2 篇 shandong provinc...
  • 2 篇 jiangsu provinci...
  • 2 篇 pattern recognit...
  • 2 篇 machine vision a...
  • 2 篇 shanghai key lab...
  • 2 篇 signal processin...
  • 2 篇 centre for visio...
  • 2 篇 school of intern...
  • 2 篇 department of ps...
  • 2 篇 department of si...
  • 2 篇 centre for visio...
  • 1 篇 signal processin...
  • 1 篇 state key labora...

作者

  • 14 篇 wu xiao-jun
  • 14 篇 kittler josef
  • 11 篇 robi polikar
  • 5 篇 ma zhanyu
  • 4 篇 josef kittler
  • 4 篇 feng zhen-hua
  • 4 篇 bilge gunsel
  • 4 篇 xu tianyang
  • 4 篇 li hui
  • 4 篇 song yi-zhe
  • 3 篇 he fan
  • 3 篇 christopher m. c...
  • 3 篇 yin he-feng
  • 3 篇 huang xiaolin
  • 3 篇 wang rui
  • 3 篇 guo jun
  • 3 篇 b. gunsel
  • 3 篇 he mingzhen
  • 2 篇 chang dongliang
  • 2 篇 ke chen

语言

  • 55 篇 英文
  • 2 篇 其他
  • 2 篇 中文
检索条件"机构=Signal Processing and Pattern Recognition Laboratory"
59 条 记 录,以下是1-10 订阅
排序:
Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature
arXiv
收藏 引用
arXiv 2024年
作者: Yang, Ruikai He, Fan He, Mingzhen Yang, Jie Huang, Xiaolin The Institute of Image Processing and Pattern Recognition The MOE Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai200240 China The STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven LeuvenB-3001 Belgium
Random feature (RF) has been widely used for node consistency in decentralized kernel ridge regression (KRR). Currently, the consistency is guaranteed by imposing constraints on coefficients of features, necessitating... 详细信息
来源: 评论
STRNet:Triple-stream Spatiotemporal Relation Network for Action recognition
收藏 引用
International Journal of Automation and computing 2021年 第5期18卷 718-730页
作者: Zhi-Wei Xu Xiao-Jun Wu Josef Kittler School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi 214122China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi 214122China Centre for Vision Speech and Signal ProcessingUniversity of SurreyGuildfordGU27XHUK
Learning comprehensive spatiotemporal features is crucial for human action recognition. Existing methods tend to model the spatiotemporal feature blocks in an integrate-separate-integrate form, such as appearance-and-... 详细信息
来源: 评论
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning
arXiv
收藏 引用
arXiv 2024年
作者: He, Fan He, Mingzhen Shi, Lei Huang, Xiaolin Suykens, Johan A.K. STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium MOE Key Laboratory of System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory for Contemporary Applied Mathematics School of Mathematical Sciences Fudan University Shanghai200433 China Shanghai Artificial Intelligence Laboratory Shanghai200232 China MOE Key Laboratory of System Control and Information Processing Institute of Image Processing and Pattern Recognition Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China
Ridgeless regression has garnered attention among researchers, particularly in light of the "Benign Overfitting" phenomenon, where models interpolating noisy samples demonstrate robust generalization. Howeve... 详细信息
来源: 评论
A Riemannian Residual Learning Mechanism for SPD Network
A Riemannian Residual Learning Mechanism for SPD Network
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Zhenyu Cai Rui Wang Tianyang Xu Xiaojun Wu Josef Kittler School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Wuxi China Centre for Vision Speech and Signal Processing University of Surrey Guildford U.K.
The generalization of Euclidean network paradigm to the Riemannian manifolds has attracted much attention for offering useful geometric representations in processing manifold-valued data in recent years. However, the ... 详细信息
来源: 评论
Zero-Shot Audio Captioning Using Soft and Hard Prompts
IEEE Transactions on Audio, Speech and Language Processing
收藏 引用
IEEE Transactions on Audio, Speech and Language processing 2025年 33卷 2045-2058页
作者: Yiming Zhang Xuenan Xu Ruoyi Du Haohe Liu Yuan Dong Zheng-Hua Tan Wenwu Wang Zhanyu Ma Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Centre for Vision Speech and Signal Processing University of Surrey Guildford U.K. Department of Electronic Systems Aalborg University Aalborg Denmark
In traditional audio captioning methods, a model is usually trained in a fully supervised manner using a human-annotated dataset containing audio-text pairs and then evaluated on the test set from the same dataset. Su... 详细信息
来源: 评论
ENHANCING KERNEL FLEXIBILITY VIA LEARNING ASYMMETRIC LOCALLY-ADAPTIVE KERNELS
arXiv
收藏 引用
arXiv 2023年
作者: He, Fan He, Mingzhen Shi, Lei Huang, Xiaolin Suykens, Johan A.K. STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Belgium Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Shanghai Key Laboratory for Contemporary Applied Mathematics School of Mathematical Sciences Fudan University China
The lack of sufficient flexibility is the key bottleneck of kernel-based learning that relies on manually designed, pre-given, and non-trainable kernels. To enhance kernel flexibility, this paper introduces the concep... 详细信息
来源: 评论
Riemannian Self-Attention Mechanism for SPD Networks
arXiv
收藏 引用
arXiv 2023年
作者: Wang, Rui Wu, Xiao-Jun Li, Hui Kittler, Josef School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
Symmetric positive definite (SPD) matrix has been demonstrated to be an effective feature descriptor in many scientific areas, as it can encode spatiotemporal statistics of the data adequately on a curved Riemannian m... 详细信息
来源: 评论
Zero-Shot Audio Captioning Using Soft and Hard Prompts
arXiv
收藏 引用
arXiv 2024年
作者: Zhang, Yiming Xu, Xuenan Du, Ruoyi Liu, Haohe Dong, Yuan Tan, Zheng-Hua Wang, Wenwu Ma, Zhanyu The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China The Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China The Department of Electronic Systems Aalborg University Aalborg9220 Denmark The Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
In traditional audio captioning methods, a model is usually trained in a fully supervised manner using a human-annotated dataset containing audio-text pairs and then evaluated on the test sets from the same dataset. S... 详细信息
来源: 评论
Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking
arXiv
收藏 引用
arXiv 2022年
作者: Tang, Zhangyong Xu, Tianyang Li, Hui Wu, Xiao-Jun Zhu, XueFeng Kittler, Josef Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China The Center for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
We address the problem of multi-modal object tracking in video and explore various options of fusing the complementary information conveyed by the visible (RGB) and thermal infrared (TIR) modalities including pixel-le... 详细信息
来源: 评论
Parameter estimation of photovoltaic modules using analytical and numerical/iterative approaches: A comparative study
收藏 引用
Materials Today: Proceedings 2022年 52卷 1-6页
作者: Souad Lidaighbi Mustapha Elyaqouti Khalid Assalaou Dris Ben Hmamou Driss Saadaoui Jihad H'roura Materials and Renewable Energy Laboratory Agadir Faculty of Sciences Ibn Zohr University BP 8106 80000 Agadir Morocco Laboratory of Electronics Signal Processing and Physical Modeling Faculty of Sciences of Agadir Ibn Zohr University BP 8106 80000 Agadir Morocco Laboratory of Images and Pattern Recognition - Intelligent and Communicating Systems Faculty of Sciences of Agadir Ibn Zohr University BP 8106 80000 Agadir Morocco
Modeling photovoltaic (PV) modules is fundamental for analyzing their efficiency and performance under different operating conditions. Generally, photovoltaic module modeling is based on a suitable equivalent circuit ... 详细信息
来源: 评论