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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Inverse Problems and Their Applications
逆问题 系统辨识 正问题
2023/5/12
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Deep neural network approximation to inverse conductivity problems for elliptic equations
椭圆方程 反电导率 深度神经网络
2023/4/14
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Cost Learning in Autonomous Dynamical Systems: An Inverse Optimal Control Approach
自主动力系统 成本学习 逆优化 控制方法
2023/5/5
A new way to perform "general inverse design" with high accuracy(图)
通用逆设计 SMART 特性识别材料 机器学习
2023/6/7
Two dimensional inverse scattering from buried magnetic anomalies
ground penetrating radar magnetic anomalies electromagnetic scattering microwave tomography linear inverse scattering
2015/9/1
This paper deals with the problem of the electromagnetic linear inverse scattering from magnetic anomalies
buried in a lossy half space, for a scalar and two dimensional case. First, the formulation ...
Gaze and informativeness during category learning:Evidence for an inverse relation
Category learning Eye movements Math modelling Object-based attention Representational information
2015/7/10
In what follows, we explore the general relationship between eye gaze during a category learning task and the information conveyed by each member of the learned category. To understand the nature of t...
The inverse design of a three-dimensional nanophotonic resonator is presented. The design methodology is computationally fast (10 minutes on a standard desktop workstation) and utilizes a 2.5-dimensio...
Linear Time-of-Arrival Estimation in a Multipath Environment by Inverse Correlation Method
Linear Time-of-Arrival Estimation Multipath Environment Inverse Correlation Method
2015/6/26
The Maximum Likelihood Estimator (MLE) is most often used to estimate the signal time delay in a multipath en vironment. There are various implementations of the MLE which can be divided into the time...
Recovering Edges in Ill-Posed Inverse Problems:Optimality of Curvelet Frames
Ill-Posed Inverse Problems Regularization Singular Value Decomposition Radon Transform Deconvolution Edge Edge-Preserving Regularization Wavelets Curvelets Ridgelets Wavelet-Vaguelette-Decomposition Wavelet Shrinkage Minimax Estimation Optimal Rates of Convergence White Noise Model
2015/6/17
We consider a model problem of recovering a function f(x1, x2) from noisy Radon data. The function f to be recovered is assumed smooth apart from a discontinuity along a C2 curve – i.e. an edge. We us...
The Inverse Weibull Survival Distribution and its Proper Application
Mean residual life Model selection UBT shaped hazard rate
2013/6/14
The peculiar properties of the Inverse Weibull (IW) distribution are shown. It is proven that the IW distribution is one of the few models having upside- down bathtub (UBT) shaped hazard function. Thr...
Estimating Network Degree Distributions Under Sampling: An Inverse Problem, with Applications to Monitoring Social Media Networks
Estimating Network Degree Distributions Sampling An Inverse Problem Applications Monitoring Social Media Networks
2013/6/14
Networks are a popular tool for representing elements in a system and their interconnectedness. Many observed networks can be viewed as only samples of some true underlying network. Such is frequently...
A New Global Stochastic Search Approach for Inverse Problems: Application to Ultrasound Modulated Optical Tomography
inverse problems global stochastic search discretized Kushner-Stratonovich equation gain-based update ultrasound modulated optical tomography
2013/6/14
A global stochastic search method, which is strictly derivative-free yet directed through a gain-based additive update term, is proposed and applied to the inverse problem of ultrasound modulated opti...
Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems
Tikhonov Regularized Estimators Reproducing Kernel Hilbert Spaces Statistical Inverse Problems
2013/6/13
Regularized kernel methods such as support vector machines (SVM) and support vector regression (SVR) constitute a broad and flexible class of methods which are theoretically well investigated and comm...
Additive inverse regression models with convolution-type operators
Inverse regression Additive models Convolution-type operators Mathematical subject codes: primary 62G08 secondary 62G15 62G20
2013/4/27
In a recent paper Birke and Bissantz (2008) considered the problem of nonparametric estimation in inverse regression models with convolution-type operators. For multivariate predictors nonparametric m...
Inverse Signal Classification for Financial Instruments
time-series classification signal analysis decision tree learning
2013/4/28
The paper presents new machine learning methods: signal composition, which classifies time-series regardless of length, type, and quantity; and self-labeling, a supervised-learning enhancement. The pa...