adaptive sampling
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
... A sampling function is needed that minimizes the number of sample points selected in each iteration, yet max- imizes the information gain of each iteration ...called adaptive sampling but is also ...
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Measurement Maximizing Adaptive Sampling with Risk Bounding Functions
... In autonomous exploration a mobile agent must adapt to new measurements to seek high reward, but disturbances cause a probability of collision that must be traded off against ex- pected reward. This paper considers an ...
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Adaptive sampling in digital control
... for adaptive sampling and for predicting the states for control of the ...The adaptive sampling technique is defined to be that choice of constant prediction period that will satisfy control ...
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A Multi-Dimensional Adaptive Sampling Method for Analysis and Design of Frequnecy Selective Surface with Arbitrary Element
... multi-dimensional adaptive sampling method (ASM) based on Stoer-Bulirsch (S-B) algorithm for frequency selective surface (FSS) analysis and design is presented in this ...The sampling points in each ...
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Genetic algorithm based optimization for terahertz time domain adaptive sampling
... the sampling speed, several methods have been ...optical sampling (AOS) requires no mechanical time delay stages and avoids the compromise between the data acquisition rate and frequency resolution ...an ...
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Adaptive sampling with Bayesian compressive sensing in radar sensor networks and image
... the adaptive CS algorithm was used to measure the 2D image which was white “ L ” in black background and it has 64*64 ...presented adaptive sampling algo- rithm could be used in 2D signal measurement ...
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Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling
... subspace sampling algorithm and our adaptive sampling based algorithm are much more efficient than SCRA, especially when c and r are ...Our adaptive sampling based algorithm is ...
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Adaptive Sampling and Routing in a Floodplain Monitoring Sensor Network
... of adaptive sampling is mediated by the use of a flood predictor model [11] that comprises a stochastic one-dimentional numerical hydraulic model (ISIS) coupled to an ensemble Kalman ...
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Decentralised Adaptive Sampling of Wireless Sensor Networks
... Specifically, in our case, the nodes in the network deplete their energy resources at different rates (as the nodes have different sampling, transmitting, and receiving rates). More- over, a model of battery ...
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Adaptive Sampling of Information in Perceptual Decision-Making
... In this paper we studied a challenging decision problem in which information from two different sources is sampled in order to come to some overall decision about the ‘‘state’’ of the visual world (for a recent, related ...
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Adaptive Sampling for Large Scale Boosting
... AdaBoost and similar boosting algorithms estimate for each candidate weak learner a score dubbed “edge”, which requires to loop through every training example and take into ac- count its weight, which reflects its ...
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Repetitive Control with Adaptive Sampling Frequency for Wind Power Generation System
... an adaptive hill climbing technique, with a variable perturbation step size can be formulated, where an automatic tuning controller varies the perturbation step size according to the environmental ...
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Adaptive Sampling Rate Allocation Based on Image Entropy for Block Based Compressed Sensing of Video
... . Compressed sensing of video is faced with a number of problems, including large computational burden of reconstruction and high storage of random measurement matrix. We use BCS to reduce the cost of random measurement. ...
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Frequency Adaptive Repetitive Control of Grid-Tied Single-Phase PV Inverters
... [16] M.A. Herran, J.R. Fischer, S.A. Gonzalez, M.G. Judewicz, I. Carugati, and D.O. Carrica, "Repetitive control with adaptive sampling frequency for wind power generation systems," IEEE J. Emerg. ...
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Adaptive Ratio for the Compressed Sensing of Multi view Videos
... on adaptive compressed ...optimal adaptive measurement, but it requires complicated iterative process to calculate the optimal measurement matrix and is too time-consuming to be used in real-time ...the ...
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Regression Estimator for Adaptive Cluster Sample
... Adaptive sampling method which the initial sampling unit by a given sampling design, then observes the sampled unit, and if the specific condition is satisfied, the method of additionally ...
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Enhancing real time focus and context direct volume rendering
... This constant sampling rate is a reasonable assumption for slice based rendering but makes pre-integrated rendering unachievable in real-time for adaptive sampling techniques such as tho[r] ...
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Learning to Localize Objects with Noisy Labeled Instances
... This paper addresses Weakly Supervised Object Localization (WSOL) with only image-level supervision. We model the missing object locations as latent variables, and contribute a novel self-directed optimization strategy ...
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Adaptive Strategy for Stratified Monte Carlo Sampling
... efficient sampling is that the variances within the strata (in the previous example, the income variability per region) are ...while sampling the ...efficient adaptive sampling ...
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Sensitivity analysis on input parameters of probabilistic fracture mechanics code, pro-loca
... the sampling process is addressed by using Monte Carlo, discrete probability distribution (DPD) important sampling, and adaptive sampling methods on the random variable such as material ...
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