PRIORS

作品数:44被引量:55H指数:5
导出分析报告
相关领域:理学更多>>
相关期刊:《Science China Mathematics》《International Journal of Digital Earth》《Computer Modeling in Engineering & Sciences》《Statistical Theory and Related Fields》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河南省自然科学基金国家社会科学基金更多>>
-

检索结果分析

结果分析中...
条 记 录,以下是1-10
视图:
排序:
Graph reinforcement learning with relational priors for predictive power allocation
《Science China(Information Sciences)》2025年第2期226-243,共18页Jianyu ZHAO Chenyang YANG 
supported in part by National Key R&D Program of China(Grant No.2022YFB2902002);National Natural Science Foundation of China(Grant No.62271024)。
Deep reinforcement learning for resource allocation has been investigated extensively owing to its ability of handling model-free and end-to-end problems.However,its slow convergence and high time complexity during on...
关键词:reinforcement learning graph neural network relational priors resource allocation 
Azimuth-dimensional RCS prediction method based on physical model priors
《Journal of Systems Engineering and Electronics》2025年第1期1-14,共14页TAN Jiaqi LIU Tianpeng JIANG Weidong LIU Yongxiang CHENG Yun 
National Natural Science Foundation of China(61921001,62201588,62022091)。
The acquisition,analysis,and prediction of the radar cross section(RCS)of a target have extremely important strategic significance in the military.However,the RCS values at all azimuths are hardly accessible for non-c...
关键词:HARDLY prediction CONSTRUCTING 
Robust Principal Component Analysis Integrating Sparse and Low-Rank Priors
《Journal of Computer and Communications》2024年第4期1-13,共13页Wei Zhai Fanlong Zhang 
Principal Component Analysis (PCA) is a widely used technique for data analysis and dimensionality reduction, but its sensitivity to feature scale and outliers limits its applicability. Robust Principal Component Anal...
关键词:Robust Principal Component Analysis Sparse Matrix Low-Rank Matrix Hyperspectral Image 
Frequentist and Bayesian Sample Size Determination for Single-Arm Clinical Trials Based on a Binary Response Variable: A Shiny App to Implement Exact Methods
《Open Journal of Statistics》2024年第1期90-105,共16页Susanna Gentile Valeria Sambucini 
Sample size determination typically relies on a power analysis based on a frequentist conditional approach. This latter can be seen as a particular case of the two-priors approach, which allows to build four distinct ...
关键词:Binomial Proportion Frequentist and Bayesian Power Functions Exact Sample Size Determination Shiny App Two-Priors Approach 
Neural 3D reconstruction from sparse views using geometric priors被引量:1
《Computational Visual Media》2023年第4期687-697,共11页Tai-Jiang Mu Hao-Xiang Chen Jun-Xiong Cai Ning Guo 
supported by the National Natural Science Foundation of China(Grant No.61902210).
Sparse view 3D reconstruction has attracted increasing attention with the development of neural implicit 3D representation.Existing methods usually only make use of 2D views,requiring a dense set of input views for ac...
关键词:sparse views 3D reconstruction volume rendering geometric priors neural implicit 3D representation 
Deep Multi-Module Based Language Priors Mitigation Model for Visual Question Answering
《Journal of Donghua University(English Edition)》2023年第6期684-694,共11页于守健 金学勤 吴国文 石秀金 张红 
The original intention of visual question answering(VQA)models is to infer the answer based on the relevant information of the question text in the visual image,but many VQA models often yield answers that are biased ...
关键词:visual question answering(VQA) language priors natural language processing multimodal fusion computer vision 
Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis被引量:2
《IEEE/CAA Journal of Automatica Sinica》2023年第11期2136-2153,共18页Baoshun Shi Kexun Liu 
supported in part by the National Natural Science Foundation of China (62371414,61901406);the Hebei Natural Science Foundation (F2020203025);the Young Talent Program of Universities and Colleges in Hebei Province (BJ2021044);the Hebei Key Laboratory Project (202250701010046);the Central Government Guides Local Science and Technology Development Fund Projects(216Z1602G)。
Plug-and-play priors are popular for solving illposed imaging inverse problems. Recent efforts indicate that the convergence guarantee of the imaging algorithms using plug-andplay priors relies on the assumption of bo...
关键词:Bounded denoiser compressed sensing magnetic resonance imaging(CSMRI) dual frames plug-and-play priors REGULARIZATION 
ASPPR:active single-image piecewise planar 3D reconstruction based on geometric priors
《Science China(Information Sciences)》2023年第7期293-295,共3页Wei WANG Qiulei DONG Zhanyi HU 
supported by National Natural Science Foundation of China(Grant Nos.61991423,U1805264);Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB32050100);Beijing Municipal Science and Technology Project(Grant No.Z211100011021004)。
Single-image piecewise planar reconstruction aims at recovering piecewise planar structures of a building from an image.Considering the intrinsic spatial ambiguity in a single image,it is an enormous challenge for exi...
关键词:PIECEWISE PLANAR GEOMETRIC 
Facial optical flow estimation via neural non-rigid registration
《Computational Visual Media》2023年第1期109-122,共14页Zhuang Peng Boyi Jiang Haofei Xu Wanquan Feng Juyong Zhang 
This work was supported by National Natural Science Foundation of China(No.62122071);the Youth Innovation Promotion Association CAS(No.2018495);the Fundamental Research Funds for the Central Universities(No.WK3470000021);through the Alibaba Innovation Research Program(AIR).
Optical flow estimation in human facial video,which provides 2D correspondences between adjacent frames,is a fundamental pre-processing step for many applications,like facial expression capture and recognition.However...
关键词:human face optical flow self-supervised non-rigid registration neural networks facial priors 
One-Sample Bayesian Predictive Analyses for a Nonhomogeneous Poisson Process with Delayed S-Shaped Intensity Function Using Non-Informative Priors
《Open Journal of Statistics》2023年第5期717-733,共17页Otieno Collins Orawo Luke Akong’o Matiri George Munene 
The delayed S-shaped software reliability growth model (SRGM) is one of the non-homogeneous Poisson process (NHPP) models which have been proposed for software reliability assessment. The model is distinctive because ...
关键词:Failure Intensity Non-Informative Priors Software Reliability Model Bayesian Approach Non-Homogeneous Poisson Process 
检索报告 对象比较 聚类工具 使用帮助 返回顶部