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An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height
forest up-scaling regression kriging uncertainty LiDAR
2023/12/1
Forest canopy height is an essential parameter in estimating forest aboveground biomass (AGB), growing stock volume (GSV), and carbon storage, and it can provide necessary information in forest manage...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Heisenberg-Pauli-Weyl uncertainty principle based on Phase derivatives
相位导数 Heisenberg Pauli-Weyl不确定性原理
2023/11/13
In this talk we introduce some recent developments of Heisenberg-Pauli-Weyl uncertainty principle in the different settings.
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Some improved Caffarelli-Kohn-Nirenberg inequalities and uncertainty principles
Caffarelli Kohn-Nierberg不等式 不确定性原理
2023/11/13
In this talk we introduce some improved Caffarelli-Kohn-Nirenberg inequalities and uncertainty principle for complex- and vector-valued functions on ?n, which is a further study of the results given i...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Uncertainty from the Perspective of Resource
资源视角 不确定性 量子力学 不确定性
2023/5/6
The uncertainty is a historic topic in quantum mechanics. In this talk, we view the uncertainty as the intrinsic property of quantum states and study it from the perspective of resource.
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Reciprocity with Uncertainty About Others
互惠 对他人 不确定性
2023/4/21
We introduce the uncertainty of psychological motivation into a reciprocity model and explore its implications on behavior. More precisely, we assume that reciprocity sensitivities are subject to inco...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Fourier analysis on finite abelian groups and the uncertainty principles
有限阿贝尔群 傅里叶分析 不确定性原理
2023/4/18
Let G be a finite abelian group. If f: G → C is a nonzero function with Fourier transform f , the Donoho-Stark uncertainty principle states that|supp(f)||supp(f )|≥|G|. The purpose of this talk is two...
One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math — college-level calculus — that is needed to train each new model. Neu...
Putting clear bounds on uncertainty（图）
不确定性 界限 计算机科学 模糊图像
2023/6/20
In science and technology, there has been a long and steady drive toward improving the accuracy of measurements of all kinds, along with parallel efforts to enhance the resolution of images. An accomp...
清华大学社会科学学院政治学系胡悦副教授《Democracy, Public Support, and Measurement Uncertainty》一文刊发于《American Political Science Review》
清华大学社会科学学院政治学系 胡悦 Democracy, Public Support, and Measurement Uncertainty American Political Science Review 民主政权
2022/7/12
2022年5月，清华大学政治学系胡悦副教授、爱荷华大学邰月红及爱荷华大学Frederick Solt共著的题为“Democracy, Public Support, and Measurement Uncertainty”一文，在政治学顶级期刊American Political Science Review（《美国政治科学评论》）上网络首发。三位研究者聚焦民主政权与公众支持的关系，并且对这一领域...
Calibration and quantifying uncertainty of daily water quality forecasts for large lakes with a Bayesian joint probability modelling approach
BJP large lakes water qualit
2021/7/28
Correcting the systematic bias and quantifying uncertainty associated with the operational water quality forecasts are imperative works for risk-based environmental decision making.
New process considers numerous coronavirus models to reduce uncertainty（图）
New process numerous coronavirus models uncertainty
2020/5/15
With so many COVID-19 models being developed, how do policymakers know which ones to use?A new process to harness multiple disease models for outbreak management has been developed by a team of resear...
UNCERTAINTY VISUALIZATION APPROACHES FOR 3D MODELS OF CASTLES RESTITUTED FROM ARCHEOLOGICAL KNOWLEDGE
Restitution Uncertainty visualization Archeological knowledge
2019/3/2
In the cultural heritage field, several specialists like archaeologists, architects, geomaticians, historians, etc. are used to work together. With the upcoming technologies allowing to capture effici...
IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE
Multispectral images Classification Uncertainty Confidence Accuracy Spatial variation
2018/11/9
The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this ...
UNCERTAINTY IN LANDSLIDES VOLUME ESTIMATION USING DEMs GENERATED BY AIRBORNE LASER SCANNER AND PHOTOGRAMMETRY DATA
ALS Digital Elevation Model DoD Volume estimation landslide airborne sensor
2018/4/18
The purpose of this paper is to identify an approach able to estimate the uncertainty related to the measure of terrain volume generated after a landslide. The survey of the area interested of landsli...
UNCERTAINTY IN LANDSLIDES VOLUME ESTIMATION USING DEMs GENERATED BY AIRBORNE LASER SCANNER AND PHOTOGRAMMETRY DATA
ALS Digital Elevation Model DoD Volume estimation landslide airborne sensor
2018/5/8
The purpose of this paper is to identify an approach able to estimate the uncertainty related to the measure of terrain volume generated after a landslide. The survey of the area interested of landsli...