搜索结果: 1-15 共查到“数学 Scale”相关记录56条 . 查询时间(0.093 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Nonlinear potentials at the fractional scale:sharp regularity
分数尺度 非线性势 尖锐 正则性
2023/11/29
Nonlinear potential theory and elliptic regularity theory are two classical topics in the modern analysis of partial differential equations. In this talk I show how these themes merge to solve the lon...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Statistical Management Theory for Business Applications with Massive Scale
大规模 商业应用 统计管理
2023/12/11
这是一个大数据与人工智能的时代，催生了各种各样大规模商务新场景。新场景常常呈现出：大规模、大数据、大模型的特点。这些特点对统计学的理论与计算方法都提出了新挑战，也提供了新机遇。对此，我将通过三个具体的真实案例分享，希望从中能够总结典型的统计学科学问题，洞察未来可能的研究机遇。这三个案例分别来自：金融科技、视频直播、和智慧零售三个不同商务场景。其中科技金融案例将展示如何通过二维码聚合支付数据助力面向...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Deep learning of multi-scale PDEs based on data generated from particle methods
粒子方法 数据 多尺度 偏微分方程 深度学习
2023/4/26
Solving multi-scale PDEs is difficult in high-dimensional and/or convection-dominant cases. The interacting particle methods (IPM) are shown to outperform solving PDEs directly. Examples include compu...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Multi-scale analysis-driven tourism forecasting: Insights from the peri-COVID-19
多尺度分析 驱动 旅游预测 COVID-19 周边见解
2023/5/5
Tourism managers and practitioners rely on accurate demand forecasting and well-informed management guidance. Given the pandemic's consequences on tourism, future analysis in the during-epidemic era i...
中国地质大学科学技术发展院唐厂，王力哲 等，计算机学院. IEEE T-PAMI (2020), DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-scale Deep Features
基于多尺度；深度；特征；迭代融合；修正；图像模糊；检测网络
2021/10/15
2020年8月6日，IEEE模式分析与机器智汇刊《IEEE Transactions on Pattern Analysis and Machine Intelligence》正式首次刊发了中国地质大学计算机学院唐厂副教授与国防科技大学、澳大利亚卧龙岗大学、悉尼大学等单位合作完成的研究成果——DeFusionNET: Defocus Blur Detection via Recurrently F...
中国地质大学科学技术发展院唐厂，王力哲 等，计算机学院. AAAI (2020), R2MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features
基于；循环多尺度；残差；特征；修正；神经网络；图像；模糊检测
2021/10/15
2020年5月，国际人工智能协会顶级会议AAAI Conference on Artificial Intelligence (AAAI)正式刊发了2020年第34届会议接收的论文集。其中包括中国地质大学计算机学院唐厂副教授、王力哲教授以及孙琨副教授与国防科技大学、悉尼大学以及阿里巴巴达摩院合作完成的研究成果——R2MRF: Defocus Blur Detection via Recurrent...
MATHEMATICAL ANALYSIS OF VEHICLE DELIVERY SCALE OF BIKE-SHARING RENTAL NODES
Bike-sharing Vehicle Delivery Scale of Rental Nodes Markov Chain Steady State Scale Virtual Two-Node Vehicle Scale Solution Algorithm
2018/5/16
Aiming at the lack of scientific and reasonable judgment of vehicles delivery scale and insufficient optimization of scheduling decision, based on features of the bike-sharing usage, this paper analys...
2018极限科学研讨会（Workshop on Science at Extreme Scales: Where Big Data Meets Large-Scale Computing Tutorials）
2018 极限科学 研讨会
2017/12/20
The program opens with four days of tutorials that will provide an introduction to major themes of the entire program and the four workshops. The goal is to build a foundation for the participants of...
Increasingly large data sets are being ingested and produced by simulations. What experience from large-scale simulation is transferable to big data applications? Conversely, what new optimal algorith...
TIME-FREQUENCY AND TIME-SCALE CANONICAL REPRESENTATIONS OF DOUBLY SPREAD CHANNELS
TIME-FREQUENCY TIME-SCALE CANONICAL REPRESENTATIONS DOUBLY SPREAD CHANNELS
2015/9/29
A general technique for the generation of canonical channel models and demonstrate the application of the technique to time-frequency and time-scale integral kernel operators is developed. As an examp...
BROADBAND SENSOR LOCATION SELECTION USING CONVEX OPTIMIZATION IN VERY LARGE SCALE ARRAYS
array processing multi-frequency beam pattern design sensor location selection very large scale arrays convex optimization simulated annealing
2015/9/29
Consider a sensing system using a large number of N microphones placed in multiple dimensions to monitor a broadband acoustic field. Using all the microphones at once is impractical because of the amo...
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
sparse inverse covariance selection sparsity graphical lasso Gaussian graphical models graph connected components concentration graph large scale covariance estimation
2015/8/21
We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding the entries of the sampl...
Selection and Estimation for Large-Scale Simultaneous Inference
Large-Scale Simultaneous Inference Selection
2015/8/20
Modern scientific technology is providing a new class of simultaneous inference
problems for the applied statistician, where there are hundreds or thousands or even
more hypothesis tests to co...
Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis
Null Hypothesis Simultaneous Hypothesis Testing
2015/8/20
Current scientific techniques in genomics and image processing routinely produce hypothesis testing problems with hundreds or thousands of cases to consider simultaneously.
This poses new di...
Correlated z-values and the accuracy of large-scale statistical estimates
large-scale statistical estimates Correlated z-values
2015/8/20
We consider large-scale studies in which there are hundreds or thousands of correlated cases to investigate, each represented by its own normal variate, typically a
z-value. A familiar example is pro...