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Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms
precision agriculture field crops machine learning deep learning image processing textural features
2023/12/21
The current mainstream approach of using manual measurements and visual inspections for crop lodging detection is inefficient, time-consuming, and subjective. An innovative method for wheat lodging de...
Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using Machine Learning Algorithms-Case Study of Evergreen Conifer Planted Forests in Japan
UAS stem volume TLS SAR random forest support vector multiple regression forest biophysical parameter
2023/12/21
The development of new methods for estimating precise forest structure parameters is essential for the quantitative evaluation of forest resources. Conventional use of satellite image data, increasing...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
通信压缩 分布式 随机优化 下界 加速算法
2023/11/29
Communication compression is an essential strategy for alleviating communication overhead by reducing the volume of information exchanged between computing nodes in large-scale distributed stochastic ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：On strongly quasiconvex functions: existence results and proximal point algorithms
强准孔函数 存在结果 近端点算法
2023/5/4
The class of strongly quasiconvex functions was introduced in the famous paper of B.T. Polyak in 1966. It is the natural extension of the class of strongly convex functions, its applications emcompass...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Distributed adaptive estimation algorithms over sensor networks
传感器网络 分布式自适应 估计算法
2023/4/13
Parameter estimation or filtering is one of the important issues in diverse fields including statistical learning, signal processing, system identification and adaptive control. With the development o...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Towards Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Large-scale Machine Learning Models
非线性动力学 机器学习模型 高效量子算法
2023/4/13
Nonlinear dynamics play a prominent role in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear equations have been severely limited due to t...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Unit commitment problems and their compact and simple models, algorithms, and applications
Unit commitment problems 机组组合 电力系统优化
2023/4/14
机组组合(UC)作为电力系统优化运行的基本问题之一，其模型的质量严重影响着求解器的求解效率，如何建立高质量的UC问题模型则成为近年研究的热点。为此，我们从大规模电力系统UC问题的模型、算法和应用方面展开研究，主要内容包括：针对单机组组合(1UC)问题，基于Facet、凸包以及动态规划相关理论，研究全新的1UC问题统一建模框架，给出1UC问题一系列适用于不同场景、不同算法的高质量模型；基于滑动窗口、...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Quantum Algorithms for High-Dimensional Sampling Problems
高维采样 量子算法 高维抽样问题
2023/4/14
High-dimensional sampling problems are ubiquitous in statistics, operations research, machine learning, etc. In this talk, I will introduce quantum algorithms for two important problems in high-dimens...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Efficient algorithms for the anisotropic dendritic crystal models
各向异性 树枝状晶体 有效算法
2023/4/14
We consider numerical approximations of the anisotropic phase-field dendritic crystal growth model. This is a highly complex coupled nonlinear system consisting of the anisotropic Allen-Cahn equation,...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints
耦合 线性约束 非光滑 非凸极小问题 基本对偶交替 近端梯度算法
2023/4/14
Nonconvex minimax problems have attracted wide attention in machine learning, signal processing and many other fields in recent years. In this paper, we propose a primal dual alternating proximal grad...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Implicit biases of optimization algorithms for neural networks and their effects on generalization
神经网络 优化算法 隐式偏差 泛化的影响
2023/4/26
Modern neural networks are usually over-parameterized—the number of parameters exceeds the number of training data. In this case the loss functions tend to have many (or even infinite) global minima, ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：System Control Schemes based on Actor-Critic Learning Algorithms
Actor-Critic学习算法 系统 控制方案
2023/4/27
System optimization and control have become the key design philosophies in modern control system theories, where reinforcement learning (RL) algorithm has drawn considerable attention in recent litera...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Submodular Functions: Extensions, Distributions, and Algorithms
子模块函数 扩展 分布 算法
2023/5/8
Submodularity is a fundamental phenomenon in combinatorial optimization. Submodular functions occur in a variety of combinatorial settings such as coverage problems, cut problems, welfare maximization...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Quantum algorithms for nonlinear partial differential equations
非线性 偏微分方程 量子算法
2023/5/16
Nonlinear partial differential equations (PDEs) are crucial to modelling important problems in science but they are computationally expensive and suffer from the curse of dimensionality. Since quantum...
Algorithms developed in Cornell’s Laboratory for Intelligent Systems and Controls can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating wi...